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Railsback, Steven, Daniel Ayllón, Uta Berger, Volker Grimm, Steven Lytinen, Colin Sheppard, and Jan C. Thiele. "Improving Execution Speed of Models Implemented in NetLogo." JASSS, 2016. https://tud.qucosa.de/id/qucosa%3A30227.
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NetLogo has become a standard platform for agent-based simulation, yet there appears to be widespread belief that it is not suitable for large and complex models due to slow execution. Our experience does not support that belief. NetLogo programs often do run very slowly when written to minimize code length and maximize clarity, but relatively simple and easily tested changes can almost always produce major increases in execution speed. We recommend a five-step process for quantifying execution speed, identifying slow parts of code, and writing faster code. Avoiding or improving agent filtering statements can often produce dramatic speed improvements. For models with extensive initialization methods, reorganizing the setup procedure can reduce the initialization effort in simulation experiments. Programming the same behavior in a different way can sometimes provide order-of-magnitude speed increases. For models in which most agents do nothing on most time steps, discrete event simulation—facilitated by the time extension to NetLogo—can dramatically increase speed. NetLogo’s BehaviorSpace tool makes it very easy to conduct multiple-model-run experiments in parallel on either desktop or high performance cluster computers, so even quite slow models can be executed thousands of times. NetLogo also is supported by efficient analysis tools, such as BehaviorSearch and RNetLogo, that can reduce the number of model runs and the effort to set them up for (e.g.) parameterization and sensitivity analysis.
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Railsback, Steven, Daniel Ayllón, Uta Berger, Volker Grimm, Steven Lytinen, Colin Sheppard, and Jan C. Thiele. "Improving Execution Speed of Models Implemented in NetLogo." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-221788.
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NetLogo has become a standard platform for agent-based simulation, yet there appears to be widespread belief that it is not suitable for large and complex models due to slow execution. Our experience does not support that belief. NetLogo programs often do run very slowly when written to minimize code length and maximize clarity, but relatively simple and easily tested changes can almost always produce major increases in execution speed. We recommend a five-step process for quantifying execution speed, identifying slow parts of code, and writing faster code. Avoiding or improving agent filtering statements can often produce dramatic speed improvements. For models with extensive initialization methods, reorganizing the setup procedure can reduce the initialization effort in simulation experiments. Programming the same behavior in a different way can sometimes provide order-of-magnitude speed increases. For models in which most agents do nothing on most time steps, discrete event simulation—facilitated by the time extension to NetLogo—can dramatically increase speed. NetLogo’s BehaviorSpace tool makes it very easy to conduct multiple-model-run experiments in parallel on either desktop or high performance cluster computers, so even quite slow models can be executed thousands of times. NetLogo also is supported by efficient analysis tools, such as BehaviorSearch and RNetLogo, that can reduce the number of model runs and the effort to set them up for (e.g.) parameterization and sensitivity analysis.
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Товстик, А. В. "Интеграция языка логического программирования PROLOG и мультиагентной среды NETLOGO в моделировании задач логистики." Thesis, Издательство СумГУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/25336.
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Mustafa, Mehran. "ANALYZING THE IMPACT OF PLUG-IN ELECTRIC VEHICLE’S CHARGING LOAD ON THE GRID BASED ON DRIVER’S PERSONAL ATTITUDES TOWARDS PEV USAGE AND CHARGING." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/dissertations/1942.
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Today, the transport sector is responsible for nearly one-quarter of global energy-related direct carbon-dioxide (CO2) emissions and is a significant contributor to air pollution [1]. In the United States, the transportation sector has the highest share (28%) in the mix of green-house gas (GHG) sources [2]. Some of the more developed nations across the globe are now committed to improve the climate and air quality. Countries like China, Europe and the United States are front runners in introducing ambitions policies to incentivize the production and adoption of plug-in electric vehicles (PEV’s). Along with the expected benefits of PEV uptake, large scale deployment poses a challenge for the electric grid, especially at the distribution level, since the charging load of an PEV is substantial. This load is dependent not only on the characteristics of the PEV, but also on its use and charging habits of its user(s). Since a PEV can be directly plugged into the grid at any available point, which may be spatially anywhere in the utility’s service area, it is important to model its accurate use and charging behavior of the users. Having precise knowledge of the load profile, the utilities can have a better economic solution to balancing the supply and demand. In this dissertation, an agent-based model is developed that estimates the impact of charging load of PEVs on the grid. It is based on reasonably realistic diverse human behavior pertaining to day-to-day driving patterns and charging practices and their effect on each other. The model portrays the heterogenous, spatial and temporal nature of this load, which depends on the habits and the interaction among different agents. The model mimics the heterogeneity of choices made by human drivers and its effect on the charging choices of other drivers, which is an important element to consider when depicting human behavior. The model uses travel statistics of conventional personally owned vehicles (POVs) from the National Household Travel Survey (NHTS) conducted by the Federal Highway Administration (FHWA) across different states of the United States from 2016 – 2017. The travel needs are modified to incorporate the effect of EV’s limited range and charging time requirements. A modified GIS map of Collinsville, IL, is used to implement the spatial requirements of travel, with, which highlight exact load points. The agent’s travel and charging choices are modelled with heterogenous rules of engagement with the environment and other agents. Common psychological effects of limited range, long charging times, and range anticipation are applied heterogeneously to all agents to create a macro environment. The resulting charging load is superimposed on existing substation transformer load and voltage profile is analyzed to study the impact of different charging strategies and charging infrastructure availability. Different case studies are analyzed to investigate the effect of the aggregated load of multiple charging points in the respective service areas of the distribution transformers.
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Castelli, Roberta Pia. "Analisi comparativa di simulazioni PhET di sistemi meccanici classici e simulazioni NetLogo di sistemi complessi." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23853/.
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L’introduzione di tecnologie digitali nella didattica è un tema che divide la comunità educante tra quanti rimangono ancorati a una didattica più tradizionale, spesso frontale e nozionistica,a quanti invece sono disposti a sperimentare nuovi approcci. Nell’ambito delle scienze in generale e della fisica in particolare,tra gli strumenti che stanno progressivamente entrando a far parte dei metodi d’insegnamento vi sono le simulazioni,di cui questa tesi tratta. La tesi parte affrontando la nozione di simulazione per poi distinguere tra simulazioni utilizzate nella pratica scientifica e simulazioni utilizzate invece in didattica come laboratori virtuali che consentono di osservare su schermo fenomeni in condizioni controllate e di eseguire esperimenti computazionali basandosi su modelli. Successivamente si tratta della distinzione tra simulazioni di sistemi classici e simulazioni di sistemi complessi, analizzando il diverso ruolo che il laboratorio virtuale assume nei due tipi di sistemi. Si individuano i vantaggi e le criticità che si presentano, negli studenti, quando entrano in contatto con i due tipi di simulazione. Il focus della tesi consiste nell’analisi di alcune simulazioni di sistemi meccanici classici e di sistemi complessi utilizzando rispettivamente le piattaforme PhET e NetLogo.Per esplicitare le profonde differenze che esistono tra i sistemi meccanici classici,alla base delle simulazioni PhET, ed i sistemi complessi, alla base delle simulazioni NetLogo,viene costruito uno strumento di analisi in forma di tabella.La tabella ha permesso di evidenziare che,mentre le simulazioni PhET adottano un approccio deterministico,con un chiaro rapporto di causa-effetto,quelle NetLogo adottano un approccio probabilistico. La conoscenza profonda di come ogni simulazione connetta l’input con l’output e l’eventuale presenza di elementi probabilistici, consentirebbe ai docenti di progettare guide strategiche per ridurre le criticità nell’uso delle simulazioni in didattica.
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Barbosa, José. "Use of bio-inspired techniques to solve complex engineering problems: industrial automation case study." Master's thesis, Instituto Politécnico de Bragança, Escola Superior de Tecnologia e Gestão, 2010. http://hdl.handle.net/10198/2852.
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Nowadays local markets have disappeared and the world lives in a global economy. Due to this reality, every company virtually competes with all others companies in the world. In addition to this, markets constantly search products with higher quality at lower costs, with high customization. Also, products tend to have a shorter period of life, making the demanding more intense. With this scenario, companies, to remain competitive, must constantly adapt themselves to the market changes, i.e., companies must exhibit a great degree of self-organization and self-adaptation.
Biology with the millions of years of evolution may offer inspiration to develop new algorithms, methods and techniques to solve real complex problems. As an example, the behaviour of ants and bees, have inspired researchers in the pursuit of solutions to solve complex and evolvable engineering problems.
This dissertation has the goal of explore the world of bio-inspired engineering. This is done by studying some of the bio-inspired solutions and searching for bio-inspired solutions to solve the daily problems. A more deep focus will be made to the engineering problems and particularly to the manufacturing domain.
Multi-agent systems is a concept aligned with the bio-inspired principles offering a new approach to develop solutions that exhibit robustness, flexibility, responsiveness and re-configurability. In such distributed bio-inspired systems, the behaviour of each entity follows simple few rules, but the overall emergent behaviour is very complex to understand and to demonstrate. Therefore, the design and simulation of distributed agent-based solutions, and particularly those exhibiting self-organizing, are usually a hard task. Agent Based Modelling (ABM) tools simplifies this task by providing an environment for programming, modelling and simulating agent-based solutions, aiming to test and compare alternative model configurations. A deeply analysis of the existing ABM tools was also performed aiming to select the platform to be used in this work.
Aiming to demonstrate the benefits of bio-inspired techniques for the industrial automation domain, a production system was used as case study for the development of a self-organizing agent-based system developed using the NetLogo tool. Hoje em dia os mercados locais desapareceram e o mundo vive numa economia global. Devido a esta realidade, cada companhia compete, virtualmente, com todas as outras companhias do mundo. A acrescentar a isto, os mercados estão constantemente à procura de produtos com maior qualidade a preços mais baixos e com um grande nível de customização Também, os produtos tendem a ter um tempo curto de vida, fazendo com que a procura seja mais intensa. Com este cenário, as companhias, para permanecer competitivas, têm que se adaptar constantemente de acordo com as mudanças de mercado, i.e., as companhias têm que exibir um alto grau de auto-organização e auto-adaptação.
A biologia com os milhões de anos de evolução, pode oferecer inspiração para desenvolver novos algoritmos, métodos e técnicas para resolver problemas complexos reais. Como por exemplo, o comportamento das formigas e das abelhas inspiraram investigadores na descoberta de soluções para resolver problemas complexos e evolutivos de engenharia.
Esta dissertação tem como objectivo explorar o mundo da engenharia bio-inspirada. Isto é feito através do estudo de algumas das soluções bio-inspiradas existentes e da procura de soluções bio-inspiradas para resolver os problemas do dia-a-dia. Uma atenção especial vai ser dada aos problemas de engenharia e particularmente aos problemas do domínio da manufactura.
Os sistemas multi-agentes são um conceito que estão em linha com os princípios bio-inspirados oferecendo uma abordagem nova para desenvolver soluções que exibam robustez, flexibilidade, rapidez de resposta e reconfiguração. Nestes sistemas distribuídos bio-inspirados, o comportamento de cada entidade segue um pequeno conjunto de regras simples, mas o comportamento emergente global é muito complexo de perceber e de demonstrar. Por isso, o desenho e simulação de soluções distribuídas de agentes, e particularmente aqueles que exibem auto-organização, são normalmente uma tarefa árdua. As ferramentas de Modelação Baseada de Agentes (MBA) simplificam esta tarefa providenciando um ambiente para programar, modelar e simular, com o objectivo de testar e comparar diferentes configurações do modelo. Uma análise mais aprofundada das ferramentas MBA foi também efectuada tendo como objectivo seleccionar a plataforma a usar neste trabalho.
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Temel-Candemir, Nurcan. "Agency theory : an extended conceptualisation and reformation." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16188/1/Nurcan_Temel_Candemir_Thesis.pdf.
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The theory of Agency, specifically that developed by Jesen and Meckling (1976), will be the subject of examination. Agency theory has been the subject of extensive research since its introduction in modern form by Jensen and Meckling (1976). The generality of the theory of Agency appears unquestionable and it has been widely adopted. Surprisingly, however, the model correctly predicts particular phenomena under investigation in only the simplest of instances, and even in the simplest of instances there are cases where the simple agency model has limited success.
Possible reasons for this failure may lie in the assumed universalist foundation and in the common formulation regarding agent behaviour, that all agents are self-interested rationalists seeking to maximise their own utility to the disregard of their principal's interest. While the hypothesis of self-interested rationalism may be apt in some contexts it may be misleading or inadequate in others. This is especially so when the narrow interpretations of self-interested rationalism are used. Human beings are more complex in their totality than can be represented in any parsimonious model. This is particularly a problem when model predictions are not empirically supported. Aspects omitted in a model may be a source of the misfit between prediction and observation.
An extended conceptualisation and reformulation of agent behaviour is presented. An approach is developed that addresses the context of agent behaviour, the socio-environment within which the agent interacts. The context particularly refers to the institutional affiliations and interactions that influence agent behaviour through their belief structure (i.e., their Belief-Desire-Intention, BDI, model of rational action). Through the use of an institutional framework contextual analysis is incorporated into the theory of agency and ultimately agent behaviour. This agent is termed a socio-environmental rationalist agent (SERA) which is contrasted with the self-interested rationalist (SIR) agent in the existing agency literature.
This research utilises an object-oriented approach to develop a simulation of the extended conceptualisation and reformulation of agent behaviour. Simulations investigate agent behaviours and outcomes at the micro (specifically through individualised SERA and SIR formulations) and macro (specifically through a multi-agent SERA community formulation in the context of the EU financial accounting harmonisation process) levels. Netlogo is the simulation tool through which this is attained.
The simulation demonstrates how alternative formulations of rationality lead to different outcomes and these differences are evident at both levels. Importantly the extended model has outputs that are more in tune with current empirical evidence. The analysis thus demonstrates the plausibility of the extended conceptualisation and reformulation and the need to incorporate the context of behaviour more fully within the analysis of the principal-agent relationship.
Through this extended examination of agent behaviour further theoretical and practical insights regarding the understanding of agent behaviour, the principal-agent problem and relationship, multi-agent communities, and of business and society in general may be attained. This dissertation provides one step in advancing our fundamental understanding of the principal-agent problem. The scope and power of agency analysis can be substantially extended using the approach and methods outlined, particularly beyond that present in existing Agency research.
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Temel-Candemir, Nurcan. "Agency theory : an extended conceptualisation and reformation." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16188/.
Full textAbstract:
The theory of Agency, specifically that developed by Jesen and Meckling (1976), will be the subject of examination. Agency theory has been the subject of extensive research since its introduction in modern form by Jensen and Meckling (1976). The generality of the theory of Agency appears unquestionable and it has been widely adopted. Surprisingly, however, the model correctly predicts particular phenomena under investigation in only the simplest of instances, and even in the simplest of instances there are cases where the simple agency model has limited success. Possible reasons for this failure may lie in the assumed universalist foundation and in the common formulation regarding agent behaviour, that all agents are self-interested rationalists seeking to maximise their own utility to the disregard of their principal's interest. While the hypothesis of self-interested rationalism may be apt in some contexts it may be misleading or inadequate in others. This is especially so when the narrow interpretations of self-interested rationalism are used. Human beings are more complex in their totality than can be represented in any parsimonious model. This is particularly a problem when model predictions are not empirically supported. Aspects omitted in a model may be a source of the misfit between prediction and observation. An extended conceptualisation and reformulation of agent behaviour is presented. An approach is developed that addresses the context of agent behaviour, the socio-environment within which the agent interacts. The context particularly refers to the institutional affiliations and interactions that influence agent behaviour through their belief structure (i.e., their Belief-Desire-Intention, BDI, model of rational action). Through the use of an institutional framework contextual analysis is incorporated into the theory of agency and ultimately agent behaviour. This agent is termed a socio-environmental rationalist agent (SERA) which is contrasted with the self-interested rationalist (SIR) agent in the existing agency literature. This research utilises an object-oriented approach to develop a simulation of the extended conceptualisation and reformulation of agent behaviour. Simulations investigate agent behaviours and outcomes at the micro (specifically through individualised SERA and SIR formulations) and macro (specifically through a multi-agent SERA community formulation in the context of the EU financial accounting harmonisation process) levels. Netlogo is the simulation tool through which this is attained. The simulation demonstrates how alternative formulations of rationality lead to different outcomes and these differences are evident at both levels. Importantly the extended model has outputs that are more in tune with current empirical evidence. The analysis thus demonstrates the plausibility of the extended conceptualisation and reformulation and the need to incorporate the context of behaviour more fully within the analysis of the principal-agent relationship. Through this extended examination of agent behaviour further theoretical and practical insights regarding the understanding of agent behaviour, the principal-agent problem and relationship, multi-agent communities, and of business and society in general may be attained. This dissertation provides one step in advancing our fundamental understanding of the principal-agent problem. The scope and power of agency analysis can be substantially extended using the approach and methods outlined, particularly beyond that present in existing Agency research.
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Marsden, Timothy. "Designing a realistic virtual bumblebee." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-theses/1304.
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Optimal Foraging Theory is a set of mathematical models used in the field of behavioral ecology to predict how animals should weigh foraging costs and benefits in order to maximize their food intake. One popular model, referred to as the Optimal Diet Model (ODM), focuses on how individuals should respond to variation in food quality in order to optimize food selection. The main prediction of the ODM is that low quality food items should only be accepted when higher quality items are encountered below a predicted threshold. Yet, many empirical studies have found that animals still include low quality items in their diet above such thresholds, indicating a sub-optimal foraging strategy. Here, we test the hypothesis that such ‘partial preferences’ are produced as a consequence of incomplete information on prey distributions resulting from memory limitations. To test this hypothesis, we used agent-based modeling in NetLogo to create a model of flower choice behavior in a virtual bumblebee forager (SimBee). We program virtual bee foragers with an adaptive decision-making algorithm based on the classic ODM, which we have modified to include memory. Our results show that the probability of correctly rejecting a low quality food item increases with memory size, suggesting that memory limitations play a significant role in driving partial preferences. We discuss the implications of this finding and further applications of our SimBee model in research and educational contexts.
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Khezerian, Peiman. "Exploring theoretical models with an agent-based approach in two sided markets." Thesis, Södertörns högskola, Nationalekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-32737.
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With increasing computational power and more elaborate software comes greater opportunities to complement traditional research methods with alternative methods. In this paper we argue for why the area of two-sided markets could benefit from this alternative approach and attempt to implement a theoretical model in an agent-based framework. By first replicating the theoretical findings in this framework we expand the model in increments in different directions through introducing different set of heterogeneity and behavioral limitations on our actors to see how the theoretical model develops. Only changing the model in increments found the analytical outcome to be robust for many of our changes, in this regard we have not managed to successfully take advantage of the full potential of the agent-based framework.
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Zouharová, Martina. "Optimalizace růstu populace řas pomocí Markovských procesů a simulačních technik." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-17249.
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The thesis deals with the task of refining the constructional and operational parameters of a tubular photobioreactor in order to maximise the growth rate of algae contained in the cultivation suspension. It builds on a basic growth model of the Porhydrium sp. alga, and focuses on the optimization of external irradiance, which is one of the key determinants of algae growth. Two distinct methodological approaches are applied: analytic approach, which employs Markov Chains, and simulation approach, which relies on agent-based simulations. In the analytic part, we introduce the construction of state transition matrix for a Markov Chain that accounts for varying irradiance inside the photobioreactor (in contrast to constant-irradiance methods that have been published so far). In the simulation part, we devised an agent-based model of algae population that enables us to analyze the system behaviour while interactively changing the model parameters. In the context of the results from both the analytic and simulation part, we conclude by suggesting the optimal level of external irradiance.
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Fontaine, Corentin M. "Residential agents and land use change modelling." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4626.
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Urbanisation is driven by the complex interactions of many physical and human factors where human actions and decisions, individually and collectively, ultimately shape the patterns of urban landscapes. Agentbased modelling is an emerging technique in land use science that is designed to study multiple heterogeneous and locally interacting active entities within a system. An example of a local interaction is the request made by residents to planners for building permits. The decisions of planners in response to this request leads to emergent properties at an aggregate level such as city growth, assuming no equilibrium conditions. This thesis develops a framework for investigating in space and in time future residential land use change over a polycentric region using a case study of East Anglia, UK. Conceptually, the framework views the complexity of housing development in a system of cities (macrogeographical level) as the visible and concrete outcome of interactions between household demand for new dwellings (micro-geographical level) and the supply of building permits by local planners (meso-geographical level). Demand and supply are driven by household location preferences, as well as local planning, and evolve over time, leading to future land use change at speci c locations. The IPCC socio-economic scenarios are adapted to describe plausible evolutions in these preferences and strategies in order to evaluate di erent urban land use change pathways and the associated potential consequences for people (e.g. ooding risks) and the environment (e.g. biodiversity loss from land fragmentation). Simulation of new housing scenarios is undertaken within the agent-based modelling paradigm using a new computer programme developed in NetLogo. Issues of sensitivity analysis, validation, calibration and system complexity are addressed throughout the thesis. The thesis contributes to the eld of landscape and urban ecology by exploring urban complexity with a spatio-dynamic model of residential location behaviour driven by human and natural variables. As land use and land cover change is known to strongly a ect ecological landscape functions and processes, understanding the relationships between social and natural systems within changing landscapes helps to highlight hotspots of potential pressure and their e ects on the natural environment as part of an assessment of the possible ecological impacts of new urban development.
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Sapkota, Pratibha. "Modeling Diffusion Using an Agent-Based Approach." University of Toledo / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1270659453.
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Buscema, Daniele. "Valutazione dell'efficacia di sistemi ITS per l'indirizzamento del traffico stradale mediante la simulazione ad agenti." Thesis, Università degli Studi di Catania, 2011. http://hdl.handle.net/10761/155.
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Lo sviluppo dei sistemi ATIS (Advanced Traveller Information Systems) rappresenta un'opportunita' per ridurre, con costi e tempi sostenibili, la congestione sulle infrastrutture stradali e per regolare, limitare e ottimizzare i flussi di traffico producendo, pertanto, benefici per la qualita' della vita e per il miglioramento delle prestazioni funzionali e ambientali dell'intero sistema di trasporto.
A dispetto di cio', i benefici connessi alla diffusione dei sistemi di informazione avanzata ai guidatori sono strettamente subordinati alla conoscenza del complesso meccanismo di adattamento dei guidatori in risposta alle informazioni ricevute e ad una avveduta gestione delle stesse.
In questo contesto, a causa della complessita' del sistema in oggetto, il ricorso ai modelli "classici" di simulazione (macro-meso-micro simulazione) non determina il conseguimento di risultati significativi.
Diversamente, come riporta la letteratura scientifica di riferimento, dalla commistione tra i modelli di simulazione microscopica e la tecnica di simulazione ad agenti intelligenti, si possono ottenere dei risultati apprezzabili.
Attraverso la costruzione di un modello di simulazione ad agenti intelligenti sviluppato sulla piattaforma software NetLogo, analizzando differenti modalita' di raccolta e diffusione delle informazioni ai guidatori, il presente lavoro di ricerca fornisce delle indicazioni rispetto ai possibili impatti che i sistemi dinamici di informazione ai guidatori determinano su una rete di trasporto.The development of ATIS (Advanced Traveller Information Systems) represents an opportunity to reduce the congestion on roads, optimize the paths of traffic flows, produce benefits for the quality of life and to improve the functional and environmental performance of the entire transport system. In spite of this, the benefits associated with development of those systems are strongly influenced by the knowledge level of the adaptation mechanism of drivers in response to information received and by the knowledge of the impact that information provided by the ITS determines on a transport network in terms of journey time, of congestion reduction, of accident reduction, etc.. To achieve this goal, the "classical" simulation models (macro-meso-micro simulation), because of the complexity of the system, are unable to provide the needed answers. Good results can be obtained, for example, by integrating the use of microscopic simulation models with models based on cellular automata and on intelligent agents. Therefore, we developed an intelligent agents simulations model based on the platform software NetLogo. Our research wants to provide guidance with respect to the possible impacts, in terms of benefits and costs, that information provided by ITS systems determines on a transport network.
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Junior, Sergio Candido de Oliveira. "Modelo baseado em agentes para especiação topopátrica." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/100/100132/tde-14102014-111807/.
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No presente modelo em NetLogo, implementou-se um código onde patches genotipicamente homogêneos, reproduzem-se no mapa composto de 64 x 64 células. Buscam parceiros entre si, seguindo algumas orientações. O par reprodutivo deve estar dentro de uma determinada distância genética (G) e espacial (S). Estes parâmetros definem qual a máxima divergência genotípica permitida para a reprodução (G) e qual a distância espacial máxima entre dois possíveis parceiros reprodutivos (S). Além destes, o sliderM determina a probabilidade de ocorrer mutação nos genótipos resultantes das reproduções e A a amplitude, i.e., a quantidade de mudança sofrida pelo genótipo do agente. A princípio, geneticamente homogêneos, todos os indivíduos podem potencialmente formar pares. Contudo, com ocorrência de trocas genéticas e mutações, na formação da prole, aumenta-se a diversidade genética e há isolamento reprodutivo entre indivíduos. Obteu-se especiação dos agentes, ocorrência de corredor de fluxo gênico e mapa robusto de combinação de parâmetros.In the present model in NetLogo, we implemented a code where genotypically homogeneous patches, reproduce in a map consisting of 64 x 64 cells. Seek partners among themselves by following some guidelines. The breeding pair must be within a certain genetic (G) and spatial (S) distance. These parameters define the maximum genotypic divergence which allowed for reproduction (G) and that maximum spatial distance between two potential reproductive partners (S). In addition, the slider M determines the probability of mutation in resulting genotypes and A the amplitude, i.e., the amount of change experienced by the genotype of the agent. Primarily, genetically homogeneous, all individuals can potentially form pairs. However, with the occurrence of genetic changes and mutations in the offspring formation, the genetic diversity increases and there is reproductive isolation between individuals. There were agents speciation, occurrence of genic flow pathway and robust map of matching parameters.
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Amakama, Nimisingha Jacob. "Conception et mise en œuvre d'une solution interopérable d'un hôpital de campagne mobile dédié à l'industrie pétrolière et gazière." Electronic Thesis or Diss., IMT Mines Alès, 2024. http://www.theses.fr/2024EMAL0003.
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Cette étude examine l'application de techniques computationnelles et d'un jeu de rôle de réponse aux catastrophes pour évaluer la faisabilité de développer un modèle de simulation reproductible et adaptable pour la réponse aux catastrophes et la prise de décision en situation de crise dans le domaine de la santé. Une approche de gestion de crise est utilisée pour déployer des ressources et évacuer les victimes d'un site de catastrophe hypothétique suite à un début soudain de catastrophe. Cette approche nécessite la présence d'agents divers et leur capacité à coordonner et allouer efficacement les ressources. Bien que le modèle ne remplace en aucun cas un système réel, les simulations et exercices développés et mis en œuvre dans cette étude peuvent servir d'outil analytique pour soutenir l'amélioration des processus, la formation et la prise de décision.Le modèle de simulation et le jeu développés pour cette étude ont analysé les résultats des décisions des agents réactifs et délibératifs, évalués en termes de mortalité et de temps d'attente moyen dans les services d'urgence interagissant. Les éléments centraux du modèle basé sur les agents développé (NetLogo 6.3.0) ont ensuite été transformés et mis en œuvre dans un jeu sérieux de table où les participants ont traversé les règles de prise de décision du modèle, fournissant ainsi une réponse aux questions de recherche de l'étude. Les questions de recherche posées dans cette étude sont les suivantes : (1) "Comment l'interaction entre un hôpital régional (HR) et un hôpital de campagne mobile (HCM) peut-elle être modélisée pour une situation de réponse aux catastrophes dans l'industrie pétrolière et gazière ?" et (2) "Comment les jeux de rôle de table sur la réponse aux catastrophes peuvent-ils être utilisés pour vérifier/valider la représentativité du processus de réponse des agents du modèle ABMS dans le contexte du scénario de réponse aux catastrophes ?" L'objectif de cette étude est d'"améliorer l'interopérabilité entre un hôpital régional et un hôpital de campagne mobile en détaillant le processus d'interaction entre les systèmes," décrivant ainsi un système typique de contrôle des incidents de catastrophe.En cas d'explosion industrielle telle que celle envisagée dans cette étude, les paramètres examinés ont mis en évidence les incertitudes associées à la complexité de la réponse à un scénario de catastrophe et la variabilité due au contexte de crise comme étant critiques pour les résultats des patients. Les indicateurs examinés peuvent servir à deux fins : (1) permettre une évaluation de l'efficacité globale des stratégies de réponse aux catastrophes ; et (2) attirer l'attention sur des éléments dans le contexte de la gestion de la réponse aux catastrophes qui peuvent avoir des impacts plus importants et complémentaires. Le besoin de prise de décision éclairée dans les situations de catastrophe pour réduire les taux de mortalité des patients et les temps d'attente moyens entre les systèmes de santé interopérables est démontré dans cette étude par la modélisation, la simulation et la ludification. Par conséquent, le potentiel et l'efficacité de l'utilisation de techniques combinées pour obtenir des informations précieuses sur les interactions au sein de systèmes complexes sont établisThis study examines the application of computational techniques and disaster response role-playing game to assess the feasibility of developing a reproducible and adaptable simulation model for disaster response and crisis decision-making in healthcare. A crisis management approach is used to deploy resources and evacuate victims from a hypothetical disaster site following a sudden onset of disaster. This approach requires diverse agents and their ability to coordinate and allocate resources effectively. While the model in no way replaces any real system, the simulations and exercise developed and implemented in this study can serve as an analytical tool to support process improvement, training and decision-making.The simulation model and game developed for this study analysed the results of both reactive and deliberative agents’ decisions, evaluated as mortality, and mean wait time outcomes from interacting emergency departments. The core elements of the developed agent-based model (NetLogo 6.3.0) were then transformed and implemented in a tabletop serious game where participants played through the model's decision-making rules, providing an answer to the study’s research questions. This research questions posed in this study are: (1) "How can the interaction between a regional hospital (RH) and a mobile field hospital (MFH) be modelled for a disaster response setting for the oil and gas industry?" and (2) "How can Disaster Response Tabletop Role-Playing Games (DRTRPGs) be used to verify/validate the representativeness of the ABMS model agents’ response process in the context of the disaster response scenario?" The aim of this study is to "improve the interoperability between a regional hospital and a mobile field hospital by detailing the process of interaction between the systems," describing a typical disaster response incident control system.In the event of an industrial explosion such as that hypothesized in this study, the parameters examined highlighted the uncertainties associated with the complexity of responding to a disaster scenario and the variability due to the crisis context as critical to patient outcomes. The examined indicators can serve two purposes: (1) enable an assessment of the overall effectiveness of disaster response strategies; and (2) draw attention to elements in the context of disaster response management that may have larger and complementary impacts. The need for informed decision-making in disaster situations to reduce patient mortality rates and mean waiting times between interoperable healthcare systems is demonstrated in this study through modelling, simulation and gamification. Therefore, the potential and effectiveness of using combined techniques to gain valuable insights into the interactions within complex systems is established
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Dahlqvist, Veronica. "Why is the bird (re)tweeting? : Creating a simulation of retweeting behaviour on Twitter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129352.
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Social media is a big part of today’s society. But how do we know where the information we put out on the internet end up? This bachelor thesis is part of a bigger project where first year students at the cognitive science program at Linköping University will be taught about modeling of a social phenomenon. A lot can be learned about a phenomenon through modeling and simulation and that was the motivation for this bachelor thesis – to try to make a simulation of the spreading of information on social media. The social media platform that was selected was Twitter and the information spreading was narrowed down to retweeting of a tweet. The simulation was implemented in NetLogo – a modeling and simulation program. The simulation was based on important factors that contribute to a person’s willingness to retweet. The factors were found in published research reports. The result was a simulation of retweeting on Twitter that in some aspects resemble the real world phenomenon as it is depicted in published research reports. Towards the end of the report there is a discussion about what factors contributed to the resemblance or the difference between the world depicted in the published research reports and the simulation.
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Syed, Ali Awais, and Jan Milants. "Agent based simulation for C-AGVs at Intermodal Terminal." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1133.
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In recent history there has been a steady increase in container traffic worldwide. As a result modern western Container Terminal ports are turning towards automation to raise their productivity, capacity and reliability. Automated Guided Vehicles (AGVs) are among the most commonly used solutions for horizontal transport within a container terminal. A more recent development in the automated container handling is the use of cassette based or C-AGVs. The latest generation of which provides a zero emission, all electric solution through the use of induction recharge points in the terminal area. The Multi-Agent System (MAS) based simulation model provides a method for evaluating dispatching strategies for this newest generation of C-AGVs. The location and number of recharge points, cassettes, yard and quay cranes as well as the paths containers have to travel are all included in the model. The NetLogo based simulator will be used to compare existing dispatching strategies, modified versions of them, or develop and test new ones. The simulator will also simulate different scenarios, which are described in the later chapters, and can thus be used to determine the best configuration and investment plan in a highly complex domain like a Container Terminal.s_aliowais@hotmail.com, jan.milants@kahosl.be 0046735781720 ; 003252213865
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Dougherty, Francis Laverne. "A Complex Adaptive Systems Analysis of Productive Efficiency." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/65146.
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Linkages between Complex Adaptive Systems (CAS) thinking and efficiency
analysis remain in their infancy. This research associates the basic building blocks
of the CAS 'flocking' metaphor with the essential building block concepts of Data
Envelopment Analysis (DEA). Within a proposed framework DEA"decisionmaking
units" (DMUs) are represented as agents in the agent-based modeling
(ABM) paradigm. Guided by simple rules, agent DMUs representing business units
of a larger management system, 'align' with one another to achieve mutual
protection/risk reduction and 'cohere' with the most efficient DMUs among them
to achieve the greatest possible efficiency in the least possible time. Analysis of the
resulting patterns of behavior can provide policy insights that are both evidencebased
and intuitive. This research introduces a consistent methodology that will be
called here the Complex Adaptive Productive Efficiency Method (CAPEM) and
employs it to bridge these domains. This research formalizes CAPEM
mathematically and graphically. It then conducts experimentation employing using
the resulting CAPEM simulation using data of a sample of electric power plants
obtained from Rungsuriyawiboon and Stefanou (2003). Guided by rules, individual
agent DMUs (power plants) representing business units of a larger management
system,'align' with one another to achieve mutual protection/risk reduction and
'cohere' with the most efficient DMUs among them to achieve the greatest possible
efficiency in the least possible time. Using a CAS ABM simulation, it is found that
the flocking rules (alignment, cohesion and separation), taken individually and in selected combinations, increased the mean technical efficiency of the power plant
population and conversely decreased the time to reach the frontier. It is found
however that these effects were limited to a smaller than expected sub-set of these
combinations of the flocking factors. Having been successful in finding even a
limited sub-set of flocking rules that increased efficiency was sufficient to support
the hypotheses and conclude that employing the flocking metaphor offers useful
options to decision-makers for increasing the efficiency of management systems.Ph. D.
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Sedláček, Adam. "Multiagentní modely kooperativních her." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-165143.
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The diploma thesis describes design and creation of agent-based model of cooperative games and its subsequent analysis. The created model combines assumptions of game the-ory with other findings; it examines the dynamics of coalition formation and the influence of external and internal factors on this formation. The first theoretical part introduces the game theory and clarifies basic principles and con-cepts of N - player cooperative games. It evaluates the benefits and disadvantages of solu-tions introduced by this theory. The thesis further deals with multi-agent systems focused on agent-based models as an analytical and computational method for analyzing complex systems. There are also explained basic principles of agent-based modeling, including ap-proaches of their creation. Furthermore, there are presented distinctions between different types of agents, environments and models. The second practical part specifies assumptions and principles that are essential for the created multi-agent model. The diploma thesis describes the development of agent-based model of cooperative games by itself, including its characteristics and behavior. Final analysis of the created model clarifies impact of individual variables on the coalition for-mation process and confirms its ability to investigate given area.
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Svatoš, Filip. "Model vztahu chudoby a rozhodování." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-198599.
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This thesis deals with a design of a model of financial decision making in humans with limited cognitive resources under conditions of poverty, subsequent creation of a computer simulation based on this model, finding parameters in which this model generates a behavior close to real data and testing the behavior of the model under different conditions. The created model is based on current findings in fields of psychology and economics regarding decision making, limited cognitive resources and impact of poverty on cognitive resources and decision making. The model is created using the system dynamics methodology and subsequently, with the use of UML language, implemented into a computer simulation in programmable environment NetLogo. Testing the model showed its ability to generate a behavior close to real data and thus its potential to be used as a model for studying and understanding of the dealt problem and experimenting in order to finding new ways of dealing with the problem of poverty.
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Alsassa, Salma. "Two-dimentional complex modeling of bone and joint infections using agent-based simulation." Thesis, Brest, 2019. http://www.theses.fr/2019BRES0022.
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Le diagnostic et la prise en charge des infections ostéo-articulaires (IOA) sont souvent complexes occasionnant une perte osseuse irréversible. La variabilité intra et inter-patient en terme de présentation clinique rend impossible le recours à une description systématique ou à une analyse statistique pour le diagnostic et l'étude de cette pathologie. Le développement d'IOA résulte d'interactions complexes entre les mécanismes cellulaires et moléculaires du tissu osseux et les bactéries. L'objectif de cette thèse est de modéliser l'IOA afin de simuler le comportement du système suite à des interactions au niveau cellulaire et moléculaire en utilisant l'approche de modélisation à base d'agents. Nous avons utilisé une méthode basée sur l'analyse bibliographique pour extraire les caractéristiques du modèle et les utiliser pour deux aspects. Le premier consiste en l'élaboration de la structure du modèle en identifiant les agents et les interactions, et le deuxième concerne l'estimation quantitative des différents paramètres du modèle. La réponse du système BJI aux différentes tailles d’inoculum bactérien a été simulée par la variation de différents paramètres. L'évolution des agents simulés a ensuite été analysée en utilisant une modélisant par des systèmes dynamiques non linéaires et une méthodologie "Datadriven", grâce auxquelles nous avons décrit le système d'IOA et identifié des relations plausibles entre les agents. Le modèle a réussi à présenter la dynamique des bactéries, des cellules immunitaires innées et des cellules osseuses au cours de la première étape de l'IOA et pour différentes tailles d'inoculum bactérien. La simulation a mis en évidence les conséquences sur le tissu osseux résultant du processus de remodelage osseux au cours de l'IOA. Ces résultats peuvent être considérés comme une base pour une analyse plus approfondie et pour la proposition de différentes hypothèses et scénarios de simulation qui pourraient être étudiés dans ce laboratoire virtuelBone and joint infections are one of the most challenging bone pathologies that associated with irreversible bone loss and long costly treatment. The high intra and inter patient's variability in terms of clinical presentation makes it impossible to rely on the systematic description or classical statistical analysis for its diagnosis or studying. The development of BJI encompasses a complex interplay between the cellular and molecular mechanisms of the host bone tissue and the infecting bacteria. The objective of this thesis is to provide a novel computational modeling framework that simulates the behavior resulting from the interactions on the cellular and molecular levels to explore the BJI dynamics qualitatively and comprehensively, using an agent-based modeling approach. We relied on a meta-analysis-like method to extract the quantitative and qualitative data from the literature and used it for two aspects. First, elaborating the structure of the model by identifying the agents and the interactions, and second estimating quantitatively the different parameters of the model. The BJI system’s response to different microbial inoculum sizes was simulated with respect to the variation of several critical parameters. The simulation output data was then analyzed using a data-driven methodology and system dynamics approach, through which we summarized the BJI complex system and identified plausible relationships between the agents using differential equations. The BJI model succeeded in imitating the dynamics of bacteria, the innate immune cells, and the bone cells during the first stage of BJI and for different inoculum size in a compatible way. The simulation displayed the damage in bone tissue as a result of the variation in bone remodeling process during BJI. These findings can be considered as a foundation for further analysis and for the proposition of different hypotheses and simulation scenarios that could be investigated through this BJI model as a virtual lab
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Hsu, Hao-Ming. "Gestion du risque d'inondation dans les zones urbaines : valeur ajoutée des automates cellulaires et de la modélisation à base d'agents." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5012.
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Les inondations sont les catastrophes naturelles les plus courantes dans le monde, pouvant causer de graves dégâts humains et matériels, en particulier dans les zones urbaines. Par conséquent, la gestion du risque d'inondation est essentielle pour prévenir et réduire leur impact et gérer le risque d'inondation résiduel.Cette étude a d'abord examiné plusieurs événements d'inondation historiques dans le monde, et en particulier dans les zones d'étude en France et à Taïwan. L'efficacité et les problèmes sur les cas d'applications ont également été analysés et résumés.Ensuite, puisque les modèles à base d'agents (ABMs) sont des outils idéaux pour simuler les actions, les réactions et les interactions d'individus autonomes et de l'environnement dans un système complexe, afin d'évaluer l'efficacité et les résultats des stratégies de réduction des risques d'inondation, cette étude a utilisé un ABM, Netlogo, pour analyser les interactions possibles du comportement humain et de l'environnement avec différentes stratégies. Un ABM couplé a été développé, combinant (i) un modèle d'évacuation, pour les simulations d'agents afin d'étudier un éventuel processus d'évacuation pendant une inondation, et (ii) un modèle d'écoulement de surface 2D d'automates cellulaires (CA), pour les simulations d'inondation. Plusieurs études de cas et tests de référence ont été sélectionnés pour vérifier les modèles et évaluer leurs performances. Le modèle d'évacuation pourrait générer des résultats plausibles du processus d'évacuation, et les résultats ont montré l'importance des cartes de risque/inondation et du timing des alarmes d'avertissement. Le modèle d'écoulement de surface CA 2D pourrait produire des résultats de modèle prometteurs, et les résultats ont montré un grand accord entre les prédictions du modèle et les observations en termes d'étendue de l'inondation, de niveaux d'eau et de vitesses d'écoulement calculées.Ensuite, l'ABM couplé a été appliqué pour analyser la gestion communautaire des risques d'inondation dans la zone d'étude. Les résultats de l'ABM couplé ont révélé sa capacité à réaliser des simulations d'inondations et le potentiel de générer des résultats plausibles de l'interaction entre les crues, les stratégies d'intervention et le comportement humain pendant une inondation.Enfin, l'étude a proposé des applications possibles de l'ABM couplé et la faisabilité de l'intégration de l'ABM couplés et un Système d'Aide à la Décision (DSS). Malgré les avantages possibles dans divers domaines, il y a encore de nombreuses lacunes à combler à l'intérieur d'un point de vue structurel sur ce type d'approche et de modèles. Les questions les plus importantes concernant le fonctionnement du DSS étaient la manière de normaliser le format, la communication et l'interopérabilité entre les différents composants existants.Les perspectives de cette étude visent à étudier et à améliorer la gestion existante des risques d'inondation, à sensibiliser le public aux crises et à améliorer la gestion communautaire des risques d'inondationFloods are the most common natural disasters worldwide, which can cause serious damage to property and fatality, especially in urban areas. Hence, flood risk management is essential to avoid new flood risk, to prevent and to reduce existing impact of floods and to manage residual flood risk.This study first brief reviewed several historical flood events worldwide, and especially the applications of flood risk treatment of the study areas in France and in Taiwan. The effectiveness and problems of the applications were also analysed and summarised.Then, since Agent-Based Models (ABMs) are ideal tools for simulating the actions, reactions and interactions of autonomous individuals and the environment in a complex system, in order to evaluate the effectiveness and outcomes of flood risk reduction strategies, this study employed an ABM, Netlogo, to analyse the possible interactions of human behaviour and the environment with different strategies. A coupled ABM was developed, combining (i) an evacuation model, for the agent simulations to investigate possible evacuation process during flood, and (ii) a cellular automata (CA) 2D overland flow model, for inundation simulations. Several case studies and benchmark tests were selected for verifying the models and evaluating the model performances. The evacuation model could generate plausible outcomes of the evacuation process, and the results showed the importance of the risk/flood maps and the warning alarm timing. The CA 2D overland flow model could produce promising model outputs, and the results showed great agreement between model predictions and observations in terms of inundation extent, water levels, and flow velocities.Next, the coupled ABM was applied to analyse the community-based flood risk management of the study area. The results of the coupled ABM revealed its capability of conducting inundation simulation and the potential for generating plausible outcomes of the interaction between flood water, response strategies and human behaviour during a flood event.Finally, the study proposed possible applications of the coupled ABM and feasibility of integration of the coupled ABM and a Decision Support System (DSS). Despite the possible advantages in various fields, there were still many gaps inside the structure to be filled. The most important issue about the operation of the DSS was the way of format standardisation, communication and interoperability between the various existing components.The study aims to investigate and to improve existing flood risk management, to raise public crisis awareness and to enhance community-based flood risk management
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Гладищук, Дмитро Володимирович. "Мультиагентна модель епідемічного процесу." Магістерська робота, Хмельницький національний університет, 2020. http://elar.khnu.km.ua/jspui/handle/123456789/9503.
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Проведено аналіз поширення захворюваності nCov. За допомогою мови програмування NetLogo розроблено мультиагентну систему, що дозволило спргнозувати частку населення для обов'язкової вакцинації для запобігання росту епідемії захворюваності на nCov.
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Alfuhaid, Abdulaziz Ataallah. "AN AGENT-BASED SYSTEMATIC ENSEMBLE APPROACH FOR AUTO AUCTION PREDICTION." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542560217326084.
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Makinde, Oghenefejiro Winnie. "Assessing the credibility of online social network messages." Thesis, University of Derby, 2018. http://hdl.handle.net/10545/622367.
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Information gathered socially online is a key feature of the growth and development of modern society. Presently the Internet is a platform for the distribution of data. Millions of people use Online Social Networks daily as a tool to get updated with social, political, educational or other occurrences. In many cases information derived from an Online Social Network is acted upon and often shared with other networks, without further assessments or judgments. Many people do not check to see if the information shared is credible. A user may trust the information generated by a close friend without questioning its credibility, in contrast to a message generated by an unknown user. This work considers the concept of credibility in the wider sense, by proposing whether a user can trust the service provider or even the information itself. Two key components of credibility have been explored; trustworthiness and expertise. Credibility has been researched in the past using Twitter as a validation tool. The research was focused on automatic methods of assessing the credibility of sets of tweets using analysis of microblog postings related to trending topics to determine the credibility of tweets. This research develops a framework that can assist the assessment of the credibility of messages in Online Social Networks. Four types of credibility are explored (experienced, surface, reputed and presumed credibility) resulting in a credibility hierarchy. To determine the credibility of messages generated and distributed in Online Social Networks, a virtual network is created, which attributes nodes with individual views to generate messages in the network at random, recording data from a network and analysing the data based on the behaviour exhibited by agents (an agent-based modelling approach). The factors considered for the experiment design included; peer-to-peer networking, collaboration, opinion formation and network rewiring. The behaviour of agents, frequency in which messages are shared and used, the pathway of the messages and how this affects credibility of messages is also considered. A framework is designed and the resulting data are tested using the design. The resulting data generated validated the framework in part, supporting an approach whereby the concept of tagging the message status assists the understanding and application of the credibility hierarchy. Validation was carried out with Twitter data acquired through twitter’s Application Programming Interface (API). There were similarities in the generation and frequency of the message distributions in the network; these findings were also recorded and analysed using the framework proposed. Some limitations were encountered while acquiring data from Twitter, however, there was sufficient evidence of correlation between the simulated and real social network datasets to indicate the validity of the framework.
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Ludwig, Petr. "Sociologický simulátor." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237036.
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This thesis describes the paradigm of complex systems and discusses possibilities of their modeling and simulations. The work shows the suitability of using multi-agent modeling for creating abstraction of social environment, that is one of the major complex systems. Thesis content includes an analysis of tools that are available for creating multi-agent simulators. The core of this thesis are processed research documents and a demonstrative model of social phenomenon known as procrastination.
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Cortier, Olivier. "Quantification des bénéfices des revêtements perméables. Modélisation à l'échelle de la structure et du bassin versant." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC247/document.
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Les revêtements perméables se développent en France et à l’étranger comme une technique d’avenir en réponse aux enjeux de la protection des sols et de l’amélioration du cycle de l’eau en milieu urbain. Le développement de pavés drainants au sein du laboratoire de l’ESITC Caen a mis en évidence le besoin de quantifier les apports des revêtements perméables pour répondre aux attentes des acteurs locaux et favoriser l’utilisation de ces techniques par les aménageurs. Dans ce but, ce travail de thèse porte sur la description des processus hydrologiques au sein des revêtements perméables et la quantification de leurs bénéfices sur le ruissellement urbain. Deux modèles ont été développés pour répondre à ces objectifs.Le premier permet de modéliser les processus hydrologiques au sein des structures perméables avec une approche physique basée sur la résolution de l’équation de RICHARDS par la méthode des éléments finis. Cette modélisation apporte des éléments de compréhension sur l’influence des propriétés de la structure et de son environnement sur ses performances. Elle a abouti à la proposition d’une représentation conceptuelle du comportement hydrologique des structures perméables. Le second modèle permet de modéliser le comportement hydrologique d’un bassin versant avec une approche par systèmes multi-agents. Différents scénarios d’implantation de revêtements perméables ont été simulés sur un site d’étude réel situé à Ouistreham en Normandie. L’exploration de ce modèle apporte des éléments de quantification des bénéfices de l’implantation des revêtements perméables sur le ruissellement de surface. Les résultats obtenus mettent en évidence le lien entre le ratio de surface perméable sur la surface imperméable et la réduction du ruissellement. Ils soulignent l’importance de la dispersion des zones de revêtements perméables pour optimiser leurs bénéficesPermeable pavements are developing in France and abroad as a promising response to the growing issues of ground protection and the improvement of the water cycle in urban areas. The development of pervious concrete within the laboratory of ESITC Caen had highlighted the need to quantify the contributions of the permeable pavement, and thus meeting the expectations of local authorities and encouraging the use of these techniques by urban planners. In this purpose, this Phd aims at describing the hydrological mechanisms of the permeable pavements and quantifying their benefits on surface runoff. Two models were developed to respond to these objectives. The first one allows modeling the hydrological processes inside permeable pavement structures with a physically-based approach, which solves RICHARD’s law with a finite element method. This modeling enables the understanding of the influence of the properties of the structure and its environment on its performances. Results have led to the proposal of a conceptual representation of permeable structures. The second model allows modeling the hydrological behavior of an urban catchment with an agent-based approach. Various scenarios of permeable pavement implemantations were simulated on a real study site located at Ouistreham in Normandy. The analysis of this model enables the quantifying of the benefits of the implementation of permeable pavements on surface runoff. Results highlight the link between the permeable surface on the impermeable surface ratio and the reduction of runoff. They emphasize the importance of dispersing permeable pavement areas to maximize their benefits
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Deluigi, Luca. "Implementazione e analisi del modello Flocking con FLAME GPU." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19064/.
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In questa tesi verranno studiati i modelli basati su agenti e i software al supporto delle simulazioni ad agenti. In particolare sarà approfondito il modello Flocking, che riguarda la formazione di stormi di uccelli in volo. Questo modello è parte della libreria di un software per simulazioni ad agenti chiamato NetLogo, ma verrà implementato con un nuovo ambiente di sviluppo ad alte prestazioni che fa uso della GPU, chiamato FLAME GPU. Questa nuova implementazione permette al modello di essere simulato con una popolazione molto più vasta. E' interessante studiare come si comporta il modello secondo alcuni parametri e come cambiano le prestazioni dalla versione in NetLogo.
Saranno analizzati e confrontati NetLogo e FLAME GPU, i due principali supporti per realizzare simulazioni ad agenti. In particolare sarà approfondito FLAME GPU, usato nell’implementazione di Flocking. Inoltre sarà discussa anche l’implementazione di un altro modello sulla formazione di stormi a ”V” chiamato Flocking Vee Formations.
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Kaboli, Mohammad Hadi. "Operational research on an urban planning tool : application in the urban development of Strasbourg 1982." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-01057695.
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The impact of spatial characteristics on the dynamics of urban development is a topic of great interest in urban studies. The interaction between the residents and the spatial characteristics is of particular interest in the context of urban models where some of the most famous urban models have been based on the process of individual settlements in some specific parts of cities.This research investigates the dynamism of urban development modeled by Cellular Automata and Multi-Agent System. The urban development, in this study embraces urban renewal and residential mobility. It corresponds to the residential mobility of households, attracted by residential and centrality comfort; these comforts are crystallized in some areas and residences of Strasbourg. The diversity and quality of these comforts become criteria for residential choice in a way that the households seek for proximity to these comforts.The Cellular Automata in this study, models the spatial characteristics of urban spatial units and they are identified by some inherent attributes that are equal to the comfort in residences and urban areas. The Multi- Agent System represent a system in which the population of the city interact between them and between them and the city; the agents delegate the socio-professional classes of households. During the spatiotemporal change, the aspiration of households forms the socio-spatio-temporal development of the city.
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Parthasarathi, Arvind 1975. "The NetLog : an efficient, highly available, stable storage abstraction." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47507.
Full textAbstract:
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.Includes bibliographical references (p. 63-67).
by Arvind Parthasarathi.
M.S.
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Wu, Marcio Jolhben. "Análise do efeito do investimento inicial no dilema do prisioneiro contínuo iterado simultâneo e alternado na presença e ausência de ruído em diferentes cenários de incerteza: contrapondo as estratégias RTS e LRS por meio da simulação bas." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/47/47132/tde-02032016-153429/.
Full textAbstract:
O dilema do prisioneiro é geralmente visto como o ponto de partida para entender o problema da cooperação. Em comparação com o dilema do prisioneiro discreto e iterado, poucos estudos existem sobre o dilema do prisioneiro contínuo e iterado. A maioria dos trabalhos que investigaram o dilema do prisioneiro contínuo e iterado concentrou-se no período de 1990 a 2000, não obtendo resultados conclusivos sobre a melhor estratégia a ser adotada neste tipo de jogo. Duas estratégias diferentes se destacam neste tipo de dilema. A primeira é a estratégia RTS (Raise-the-Stakes) de Roberts e Sherrat (1998) que testa o terreno antes de aumentar os investimentos na relação. A segunda deriva do modelo LRS (Linear Reactive Strategies) de Wahl e Nowak (1999a). Esta última estratégia estando em equilíbrio de Nash cooperativo apresenta três características: (i) generosidade, i.e., investir o máximo possível no início da relação de cooperação; (ii) otimismo, i.e., contar com o melhor cenário para as próximas rodadas, e (iii) intransigência. Esta pesquisa tem como objetivo principal contrapor as estratégias RTS e LRS num dilema do prisioneiro contínuo e iterado, na presença e ausência de ruído, com jogadas simultâneas e alternadas e para diferentes valores do parâmetro w (probabilidade de interagir novamente). Restringimos a nossa análise a um conjunto de seis estratégias: ALLC, ALLD, TFT, RTS, LRS e RTSM. O método utilizado foi o da simulação baseada em agente (ABM) no formato de torneios, semelhante ao de Axelrod (2006), Roberts & Sherratt (1998), Nowak & Sigmund (1992) e Nowak & Sigmund (1993). Utilizamos o software Netlogo e documentamos todo o processo da concepção e construção do modelo por meio da ferramenta TRACE (TRAnsparent and Comprehensive model Evaludation). Os resultados mostram que as estratégias mais cooperativas são mais favorecidas quando o jogo consiste em jogadas alternadas ao invés de simultâneas. A estratégia RTS teve melhor desempenho em jogos simultâneos para valores intermediários de w, na presença ou ausência de ruído. Por sua vez, a estratégia LRS teve melhor desempenho nos jogos simultâneos, na presença ou ausência de ruído, ou alternados e na presença de ruído, em ambos os casos para valores grandes de wThe prisoner\'s dilemma is generally seen as the starting point for understanding the problem of cooperation. In comparison with the discreet and iterated prisoner\'s dilemma, few studies exist on the continuous iterated prisoner\'s dilemma. Most of the works that have investigated the continuous iterated prisoner\'s dilemma has concentrated in the period from 1990 to 2000, not getting conclusive results on the best strategy to be adopted in this type of game. Two different strategies stand out in this kind of dilemma. The first is the RTS strategy (Raise-the-Stakes) of Roberts and Sherrat (1998) that tests the ground before increasing investment in the relationship. The second is the model deriva LRS (Linear Reactive Strategies) de Wahl and Nowak (1999a). This last strategy being in Nash equilibrium cooperative presents three characteristics: (i) generosity, i.e., investing as much as possible at the beginning of the cooperation relationship; (ii) optimism, i.e., rely on the best scenario for the next rounds, and (iii) intransigence. This research has as main goal to reconcile opposing RTS strategies and LRS in a continuous iterated prisoner\'s dilemma, in the presence and absence of noise, with simultaneous moves and alternate and for different values of the parameter w (probability of interacting again). We restrict our analysis to a set of six strategies: ALLC, ALLD, TFT, RTS, LRS and RTSM (halfway between RTS and LRS). The method used was the agent-based simulation (ABM) in tournament format, similar to that of Axelrod (2006), Roberts (1998), Sherratt & Nowak & Sigmund (1992) and Nowak & Sigmund (1993). We use the NetLogo software and document the whole process of design and construction of the tool model TRACE (TRAnsparent and Comprehensive model Evaludation). The results show that most strategies are more favoured unions when the game consists of alternating plays rather than simultaneous. The RTS strategy had better performance in simultaneous games for intermediate values of w, in the presence or absence of noise. In turn, the IRS strategy had better performance when simultaneous games, in the presence or absence of noise, or switched, and in the presence of noise, in both cases, for large values of w
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Portell, Canal Xavier. "Individual-based observations and individual-based simulations to study Saccharomyces cerevisiae cultures." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284741.
Full textAbstract:
Saccharomyces cerevisiae is one of the yeasts with major economic, social, and health significance in human culture. Depending on the growth conditions experienced by the cell, S. cerevisiae growth can proceed via fermentative, respirative, or respirofermentative metabolism. Scar formation, unequal division, a limited replicative lifespan, and increase in cell size commensurate with the cell's replicative age are individual characteristics of this yeast affecting the performance of bioprocesses. These characteristics increase the complexity of predictive models and introducing them with ease into a continuous model is not realistic. Nevertheless, an individual-based model is able to accommodate this complexity in a single computational model. Once an individual model is implemented, it has to be parameterized, calibrated, and its adequacy assessed. All these processes ideally require a high number of both individual and system-level experimental observations. The aim of the present thesis is to advance the development of an individual-based methodology to tackle the study of microbial systems driven by the relevant yeast S. cerevisiae.
The adequacy of INDISIM-YEAST, an existing individual-based model of a generic budding yeast, is first assessed. In order to obtain valuable individual-based observations to support the desired individual-based methodology, the diversity of S. cerevisiae in experimental individually-oriented observations under different growth conditions and at different stages of the growth curve is verified and assessed.
A quantitative individual-based model focusing on the fermentative (anaerobic) growth of the yeast S. cerevisiae has been designed, implemented in Fortran 90, and termed INDISIM-Saccha. The developed model is parameterized, calibrated, its adequacy evaluated, and used to assess in silico ethanol production by means of virtual experiments. The calibration procedure, and the performance and analysis of the data from the virtual experiments is undertaken using the statistical programming language R. The model adequacy is assessed by testing several model predictions both at a system level (glucose depletion, population growth curves) and single-cell level (fraction of budded cells, genealogical age distribution, and cell diameter distribution evolutions). Individual cell diameter observations obtained within the present thesis play a significant role in this assessment. Results of the virtual experiments suggest that differences in cell size distribution can drastically affect the performance and productivity of fermentations, and encourage routine characterization of the inocula in the biotechnological industry.
INDISIM-Saccha is also adapted to take into account the aerobic growth of S. cerevisiae and contrasted with two experimental trials with different oxygen levels in the medium. The preliminary simulated results achieved with the model suggest that the approach also has the potential for reproducing aerobic batch cultures of S. cerevisiae. This represents a further step in obtaining a microbial individual-based model to account for the whole set of metabolic alternatives experienced by S. cerevisiae.
In order to communicate efficiently, increase accessibility, and favour usability of the INDISIM-Saccha methodology developed, the present thesis also designs and implements INDISIM-YEAST-NL in the freely available programming environment NetLogo. The implementation of this streamlined model in NetLogo lays the foundations for a deeper understanding of the developed methodology and microbial individual-based models in general, and will facilitate future interactions with potential users of INDISIM-Saccha.El Saccharomyces cerevisiae és un dels llevats que gaudeix de més significació econòmica, social i per a la salut humana. Depenent de les condicions experimentades, el llevat S. cerevisiae pot créixer mitjançant un metabolisme fermentatiu, respiratori o respirofermentatiu. La formació de cicatrius, una divisió desigual, una vida replicativa limitada i un increment de la mida de la cèl.lula amb l’edat replicativa són característiques individuals d’aquest llevat que afecten el comportament dels bioprocessos. Aquestes característiques incrementen la complexitat dels models predictius i dificulten, per tant, la seva inclusió en un model continu de manera realista. No obstant això, un model basat en l’individu sí que és capaç d’acomodar tota aquesta complexitat en un únic model computacional. Una vegada implementat, un model basat en l’individu ha de ser parametritzat, calibrat i la seva adequació ha de ser avaluada. Tots aquests processos requereixen idealment un gran nombre d’observacions experimentals, tant individuals com a nivell del sistema estudiat. L’objectiu general de la tesi present és avançar en el desenvolupament d’una metodologia basada en l’individu per estudiar sistemes microbians conduïts pel llevat S. cerevisiae. Primerament s’avalua l’adequació de INDISIM-YEAST, un model basat en l’individu, ja existent, focalitzat en un llevat genèric. Es verifica i s’avalua la diversitat del S. cerevisiae en observacions experimentals orientades a l’individu en diferents condicions de creixement i en diversos estadis de la corba de creixement de la població. Això permet obtenir observacions basades en l’individu molt valuoses a l’hora de donar suport a la metodologia desitjada. Es desenvolupa i s’implementa en Fortran 90 INDISIM-Saccha, un model quantitatiu basat en l’individu i focalitzat en el creixement fermentatiu (anaerobi) del S. cerevisiae. El model desenvolupat és parametritzat, calibrat, la seva adequació és avaluada i és utilitzat per estudiar in silico la producció d’etanol mitjançant experiments virtuals. El procés de calibratge, l’obtenció i l’anàlisi de les dades dels experiments virtuals s’han realitzat utilitzant el programari estadístic R. L’adequació del model s’avalua testejant diferents prediccions del model a nivell de sistema (corbes de disminució de la glucosa i de creixement de la població) i a nivell de la cèllula individual (evolucions temporals de la fracció de cèl.lules gemades, de la distribució d’edats genealògiques i de la distribució dels diàmetres cel.lulars). Les observacions del diàmetre de les cèl.lules individuals obtingudes a la tesi present juguen un paper significatiu en aquesta avaluació. Els resultats dels experiments virtuals suggereixen que les diferències en la distribució de mides cel.lulars poden afectar dràsticament l’evolució i la productivitat de les fermentacions i suggereixen una caracterització rutinària de l’inòcul a la indústria biotecnològica. L’INDISIM-Saccha també és adaptat per tenir en compte el creixement aeròbic del S. cerevisiae i és contrastat mitjançant dos assajos experimentals amb dos nivells d’oxigen al medi. Els resultats preliminars de la simulació denoten que aquesta aproximació també té el potencial de reproduir cultius discontinus aerobis del S. cerevisiae. Això representa un pas endavant cap a l’obtenció d’un model basat en l’individu que tingui en compte tot el conjunt d’alternatives metabòliques experimentades pel S. cerevisiae. Finalment, aquesta tesi també dissenya i implementa INDISIM-YEAST-NL en l’ambient de programació lliure anomenat NetLogo per tal de comunicar de manera eficient, d’incrementar l’accessibilitat i d’afavorir l’ús de la metodologia INDISIM-Saccha. La implementació d’aquest model simplificat amb NetLogo posa les bases per a una comprensió més alta de la metodologia desenvolupada, i dels models microbians basats en l’individu en general, i facilitarà futures interaccions amb usuaris potencials de l’INDISIM-Saccha.
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Sestito, Guilherme Serpa. "Uma proposta metodológica para a previsão do Throughput durante a inicialização de redes Profinet através de redes neurais artificiais." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-17122014-112052/.
Full textAbstract:
Este trabalho propõe o desenvolvimento de uma metodologia para o cálculo do volume de tráfego durante o período de inicialização de uma rede Profinet. O tráfego de dados é um dos indicadores de desempenho criados para garantir a qualidade dos protocolos baseados em Real Time Ethernet (RTE). Neste contexto, buscou-se na literatura uma forma de classificar o tráfego de acordo com a sua magnitude e mensurar seu efeito na comunicação. Dados provenientes de redes criadas em laboratório foram coletados e aplicados a uma Rede Neural Artificial visando generalizar o conhecimento adquirido. O uso dado a RNA foi de estimação da função de interesse. Os resultados obtidos após o processamento dos dados reais são considerados satisfatórios e condizentes às expectativas dessa dissertação, já que se buscou, por razões inerentes ao problema estudado, um erro relativo inferior 3%. Conclui-se que a metodologia apresentada é factível e aplicável ao meio industrial, podendo ser parte de uma ferramenta mais completa, como os analisadores de redes Profinet.This paper suggests the development of a methodology to calculate the traffic volume during the starting period of a Profinet network. The data traffic is one of the development indicators created to guarantee the protocols quality based on Real Time Ethernet (RTE). In this context, a way of classifying the traffic according to its magnitude and of measuring its effect in the communication was searched in the literature. Data deriving from networks created in laboratory were collected and applied into an Artificial Neural Network aiming to generalize the acquired knowledge. The ANN was used to estimate the function of interest. The results obtained after the real data processing are considered satisfactory and suitable to the expectations of this dissertation where the relative error inferior to 3%, for reasons intrinsic to the studied problem, was searched. It is concluded that the methodology presented is feasible and applicable in the industrial field, where it can be part of a more complete tool, as the Profinet network analyzers.
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Le, Guillou Fanny. "Approche systémique de la haie, pour passer de sa multifonctionnalité à la conception de plans de gestion." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMC003.
Full textAbstract:
La haie bocagère, au travers des nombreuses fonctions qu’elle possède, intervient dans les problématiques engendrées par le changement climatique actuel. Cependant, l’évolution radicale du paysage agraire au cours du XXe siècle a conduit à un arasement massif des haies ces 60 dernières années. Bien que ses intérêts économiques, écologiques et socio-culturels soient avérés, ils ne sont pas reconnus par tous les acteurs et la dégradation du bocage se poursuit. Les conséquences de cette disparition font peu à peu prendre conscience de la nécessité de préserver les haies. Des initiatives apparaissent à diverses échelles et une forte demande d’outils de diagnostic et d’évaluation qualitative émerge. Or, il y a un manque de cohérence territoriale de ces initiatives et un manque de données permettant la caractérisation précise de la haie.Notre recherche s’attèle à l’étude systémique des rôles de la haie et de sa place dans l’espace sur le territoire bas-normand à partir d’une démarche multi-échelle afin de comprendre les raisons de la dégradation toujours à l’œuvre et de proposer des solutions. Cette étude vise à proposer des outils de caractérisation de la haie, de façon à intégrer une vision systémique des services rendus par cette dernière afin de développer des plans de gestion multifonctionnels transposables. Trois approches complémentaires permettent d’aboutir à cet outil. Pour commencer, un modèle systémique est réalisé à partir de la bibliographie à la fois dense, pluridisciplinaire et très éclatée. Puis, une approche quantitative visant à caractériser l’évolution et les fonctionnalités des linéaires, estimer les capacités de production et analyser l’organisation spatiale des réseaux des haies est mise en place. Enfin, une approche qualitative permettant de recueillir la parole des acteurs (populations et gestionnaires) pour mieux appréhender la place des haies dans le paysage rural actuel est réalisée. Pour terminer, les résultats de ces approches ont été utilisés pour l’élaboration du modèle Ger’haies, un modèle sous Système Multi-Agent destiné à être employé comme outil de médiation pour la mise en place de PGMH sur le territoire d’une collectivitéHedgerow, across its many functions, takes action in the problems generated by the current climate change. However, the radical agricultural landscape evolution during the 20th century led to massive removal of hedgerows in the past 60 years. Although its economic, ecological and socio-cultural interests are proved, they are not recognised by all the actors and the hedgerow density keep decreasing. The consequences of this disappearance gradually raise awareness of the need to preserve hedgerows. Some initiatives appears at various scales with an increasing demand for diagnostic tools and qualitative evaluation. Yet, the territorial cohesion is missing and there is a lack of data to precisely characterise the hedge.Our research gets on with the systemic study of roles and functions of hedgerow and its place in space on the bas-normand territory from a multi-scale approach in order to understand the reasons of deterioration still at work and suggest solutions. This study aims to propose tools to characterise the hedge, so as to integrate a systemic vision of the services in order to develop multifunctional management plans that can be spatially transposed. Three complementary approaches lead to this tool. The first purpose of this work is to realise a systemic model from a substantial, multidisciplinary and very fragmented bibliography. Then, a quantitative approach has been set up to characterise the evolution and functionality of the hedgerows, estimate production capacities and analyse the spatial organisation of hedgerow networks. In a third step, a qualitative approach is carried out to collect the actor perception (populations and managers) and to better understand the place of hedges in the current rural landscape. Finally, the results of these approaches have been used to develop the Ger'haies model, an agent-based model intended to be used as a mediation tool for the establishment of PGMH on a municipal territory
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Mrowiec, Magdalena. "Robactwo : żywioł owadzi w polskim przekazie ludowym i jego współczesne artykulacje." Doctoral thesis, Katowice : Uniwersytet Śląski, 2018. http://hdl.handle.net/20.500.12128/8514.
Full textAbstract:
The main aim of the paper is to recreate a cognitive portrait of insects, which
emerges from the preserved folk culture of the Polish lands, and then to check
durability of folk images of insects in selected phenomena of popular culture.
Applying the methodology of cognitive research on folklore there was reconstructed
the world of insects preserved in the texts of such genres as folk fairy tales, parables,
anecdotes, jokes, riddles, felicitations, but also in the preserved idioms, which in the
vast majority were inherited by the Polish general language. Although insects often
stayed on the outskirts of interest of carriers of folk culture, as a part of the world of
nature, they were directly related to the daily struggle for survival of members of
agricultural culture which undoubtedly was the old Polish traditional culture. At the
same time, the folk category of "worms" was wider than the group of arthropods
nowadays called "insects", and the users of folk culture projected various symbolic
meanings on "worms" (e.g. demonic, harmful, devouring from the inside, deadly,
devilish versus useful, valuable, hardworking, accelerating vegetation).
In the second part, the methodological base was broadened, the category of
folklore was supplemented by the phenomena of netlor, contemporary participatory
culture together with the swarm of "prosumers", and the flagship genre of netlor: the
Internet meme was defined in the perspective of its long existence. Material research
was carried out which took into account the flagship genres of popular culture:
Internet memes, youth fantasy literature (a derivative of a magical fairy tale) and
popular films and animations. There was confirmed their continued imagination,
idioms, insect evaluation and their projection on new phenomena of popular culture,
especially digital culture. Although conditions have changed significantly since the
times of traditional culture, insect's imago still provides a strong incentive for carriers
of popular culture. The result is that the images of insects and their swarms are still
generative. They are reflected in so many phenomena, such as texts illustrating the
ambivalent status of technology, solutions used in robotics, business management
technologies or functioning of a participatory culture.
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Fernandes, Tito António Moura Mesquita. "Gestão colaborativa e inteligente em micro-grids." Master's thesis, 2013. http://hdl.handle.net/10198/9253.
Full textAbstract:
Concebidas inicialmente para transportar e distribuir energia, as atuais redes elétricas dos países desenvolvidos apresentam dificuldades na capacidade de resposta causadas pelo aumento do consumo, devido à crescente dependência da eletricidade no dia-a-dia das pessoas, assim como na integração da produção de energia elétrica distribuída baseada em energias renováveis, como sejam painéis fotovoltaicos e integração de veículos elétricos.
A manutenção da estabilidade da rede é agora um enorme problema, devido às constantes oscilações entre a oferta e procura de energia elétrica, elevada inserção de recursos distribuídos de produção de energia e, principalmente devido à grande concentração da procura em períodos específicos (picos de procura).
As redes inteligentes, do inglês smart grids apresentam um novo paradigma nas redes elétricas para estes problemas. Estas redes são bidirecionais no sentido que potenciam a utilização de todos os recursos energéticos e permitem a gestão da rede em tempo real, potenciando a otimização dos fluxos de energia.
Uma abordagem interessante face ao desafio de controlo e coordenação destas novas redes inteligentes poderá passar pela utilização de sistemas multiagente, que fornecem uma abordagem distribuída à conceção de sistemas de controlo, uma vez que são baseados em agentes distribuídos e autónomos, mas com capacidade de interagir/cooperar entre si para atingir os objetivos do sistema.
Neste projeto foi utilizada a ferramenta NetLogo para simular e testar um sistema de redes inteligentes, baseada em sistemas multiagentes. O caso de estudo focou o projeto-piloto da smart grid da ilha de Kythnos, Grécia. Após a realização do modelo aproximado da rede inteligente, foram implementados, testados e comparados métodos de controlo e cooperação entre os diversos agentes da rede inteligente de modo a desenvolver uma permuta eficiente de energia elétrica. Os métodos e mecanismos de controlo criados apresentaram resultados satisfatórios, permitindo uma maior flexibilidade e versatilidade dos produtores para se adaptarem ao mercado energético, menor desperdício de energia e menores encargos para os consumidores.Initially designed to transport and distribute electricity, current electricity grids of developed countries have difficulties in responsiveness caused by increased consumption due to the increasing dependence on electricity in the day-to -day lives , as well as integration of energy production distributed electricity based on renewable energy , such as photovoltaic panels , and integration of electric vehicles . Maintaining the stability of the network is now a huge problem, due to constant fluctuations between supply and demand of electricity, high integration of distributed resources and energy production, mainly due to the large concentration of demand in specific periods (peak demand). Smart grids, present a new paradigm in power grids for these problems. These networks are bidirectional in the sense that enhance the use of all energy resources and enable the management of the network in real time, enhancing the optimization of energy flows. An interesting approach to the challenge of control and coordination of this new smart grid may involve the use of multi-agent systems, which provide a distributed approach to the design of control systems, since they are based on distributed and autonomous agents, but with the ability to interact / cooperate to achieve system objectives. In this project was used the NetLogo tool to simulate and test a smart grid system based on multi-agent systems. The case study focused on the pilot project of smart grid of the island of Kythnos, Greece. After completion of the approximate model of the smart grid, have been implemented, tested and compared methods of control and cooperation between the various actors of the smart grid in order to develop an efficient transfer of power. The methods and monitoring mechanisms set satisfactory results, allowing greater flexibility and versatility of producers to adapt to the energy market, less energy waste and lower costs for consumers.
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Rodrigues, Bruno Daniel Cerdeira. "Modelação e validação de processos de car-following em Netlogo para simulação de fluxo de tráfego rodoviário." Master's thesis, 2011. http://hdl.handle.net/10071/8246.
Full textAbstract:
O problema do tráfego rodoviário tem vindo a assumir uma crescente importância devido aos
seus efeitos negativos na sociedade moderna, capazes de originar a diminuição da
produtividade, da qualidade de vida e a degradação do meio ambiente. No domínio da
simulação social, o investimento em simuladores baseados em agentes capazes de analisar os
fenómenos de tráfego rodoviário tem aumentado. Uma das áreas fundamentais no estudo de
modelos de tráfego é o fluxo gerado pela interacção dos veículos. Este processo designa-se
car-following.
Com o objectivo de aprofundar a integração de algoritmos de car-following em plataformas e
ambientes de simulação social, este trabalho analisa, estende e implementa dois algoritmos de
car-following no ambiente Netlogo. Os dois algoritmos baseiam-se em abordagens distintas:
um inspirado por sistemas multiagente, baseado em estados cognitivos e regras de decisão; e
outro baseado na dinâmica de posição e da velocidade dos veículos. Os dois algoritmos são
analisados comparativamente, destacando-se os seus pontos fortes, pontos fracos e a sua
validade. Os resultados obtidos validam de diferentes maneiras o impacto dos comportamentos
produzidos no fluxo de tráfego e sugerem que o algoritmo inspirado em sistemas multiagente
aparenta produzir comportamentos mais realistas.The problem of road traffic has been assuming a growing importance due to its negative effects on modern society, which can lead to lower productivity, declining of quality of life and environmental degradation. In the area of social simulation the investm ent in agent-based simulators, capable of analysing these phenomena, has been increased. One of the key areas in the study of traffic road models is the flow generated by the interaction of vehicles. This process is called car-following. In order to deepen the integration of car-following algorithms across platforms and social simulation environments, this work analyses, extends and implements two car-following algorithms in Netlogo. These algorithms are based on different approaches: one inspired by multi-agent systems, based on decision-rules and cognitive states; and another based on the dynamics of position and vehicle speed. Both algorithms are analysed and compared, highlighting their strengths, weaknesses and its validity. The results authenticate the impact of behaviours produced in the flow of traffic in different ways and suggests that the algorithm based on multi-agent systems seems to produce more realistic behaviour.
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"An agent-based simulation of wheat based ethanol plant location decisions for Saskatchewan." Thesis, 2012. http://hdl.handle.net/10388/ETD-2012-12-944.
Full textAbstract:
First generation ethanol production has experienced rapid expansion but is now at a crossroads facing impending industry transformation. While Saskatchewan’s ethanol industry has benefited from demand and policy instruments that have guided substantial growth in recent years, changing policy and market dynamics present new challenges which are compelling the industry to adjust. This thesis examines three factors that are suspected to influence ethanol plant locational decisions. The development of an agent-based simulation model in this thesis will ascertain how transportation networks, market synergies, and subsidization influence location stability for an ethanol plant. The long term interaction of these factors is unknown, therefore do tradeoffs exist between these factors or is it conditional for all to be present?
Modeling factors that affect location stability through an agent-based approach creates a dynamic framework to understand how location attributes impact an ethanol agent’s longevity. It was found that location stability is affected by an ethanol agent’s distance to both primary transportation networks as well as product markets. Surprisingly, distance to DDGS (dried distillers grain with solubles) markets, a low value by-product of ethanol production, has a profound effect on location stability.
Policy instruments and industry subsidization are considered key ethanol development drivers and the surge in ethanol industry growth brought hopes of rural revitalization. In Saskatchewan, policy was developed to support small ethanol plants, those 25 Mmly (million litres per year) or smaller, aimed at increasing farmer investment and alternative markets for wheat. Measuring the effect of subsidization on location stability was fundamental to understanding how a post subsidized ethanol industry may look. The research found that subsidization of Saskatchewan’s ethanol industry dramatically affected economies of scale and location decisions, which left ethanol agents unable to compete in an increasingly competitive ethanol industry.
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"A Bio-Inspired Algorithm and Foldable Robot Platform for Collective Excavation." Master's thesis, 2018. http://hdl.handle.net/2286/R.I.50513.
Full textAbstract:
abstract: Existing robotic excavation research has been primarily focused on lunar mining missions or simple traffic control in confined tunnels, however little work attempts to bring collective excavation into the realm of human infrastructure. This thesis explores a decentralized approach to excavation processes, where traffic laws are borrowed from swarms of fire ants (Solenopsis invicta) or termites (Coptotermes formosanus) to create decision rules for a swarm of robots working together and organizing effectively to create a desired final excavated pattern.
First, a literature review of the behavioral rules of different types of insect colonies and the resulting structural patterns over the course of excavation was conducted. After identifying pertinent excavation laws, three different finite state machines were generated that relate to construction, search and rescue operations, and extraterrestrial exploration. After analyzing these finite state machines, it became apparent that they all shared a common controller. Then, agent-based NetLogo software was used to simulate a swarm of agents that run this controller, and a model for excavating behaviors and patterns was fit to the simulation data. This model predicts the tunnel shapes formed in the simulation as a function of the swarm size and a time delay, called the critical waiting period, in one of the state transitions. Thus, by controlling the individual agents' behavior, it was possible to control the structural outcomes of collective excavation in simulation.
To create an experimental testbed that could be used to physically implement the controller, a small foldable robotic platform was developed, and it's capabilities were tested in granular media. In order to characterize the granular media, force experiments were conducted and parameters were measured for resistive forces during an excavation cycle. The final experiment verified the robot's ability to engage in excavation and deposition, and to determine whether or not to begin the critical waiting period. This testbed can be expanded with multiple robots to conduct small-scale experiments on collective excavation, such as further exploring the effects of the critical waiting period on the resulting excavation pattern. In addition, investigating other factors like tuning digging efficiency or deposition proximity could help to transition the proposed bio-inspired swarm excavation controllers to implementation in real-world applications.Dissertation/Thesis
Masters Thesis Mechanical Engineering 2018
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Ng, Kevin. "Exploring a LOGO microworld : the first minutes." Thesis, 2014. http://hdl.handle.net/2152/26574.
Full textAbstract:
In his 1980 book, Mindstorms, Seymour Papert proposes using microworlds to help children learn mathematics like mathematicians. In a microworld like LOGO that is culturally rich in math, Papert claims that learning math can be as natural as learning French in France. Although the technology at the time was adequate, LOGO faltered due to improper implementation in the classroom. A newfound political interest in inquiry and computer literacy could breathe new life into Papert's vision. In contrast with the routinized approaches to introducing aspects of programming that, arguably, limited the trajectory for the implementation of programming in schools (Papert, 1980), this report explores what can and does happen in the first few minutes using a more open, student directed, approach to programming with high school physics students. A grounded theory approach led to connections with Vygotsky's Zone of Proximal Development.text
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Thiele, Jan C. "Towards Rigorous Agent-Based Modelling." Doctoral thesis, 2014. http://hdl.handle.net/11858/00-1735-0000-0023-997B-8.
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ALDORF, Martin. "Analýza maloobchodních příležitostí a ohrožení v oblasti Třešťsko." Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-153326.
Full textAbstract:
The topic of this work is the software NetLogo used with the model Retail Opportunity Sim. This computer model is applied to the region Třešťsko. The goal of this work is to calibrate the Retail Opportunity Sim model and to find out, which problems and complication are connected with using of this software on so small region as Třešťsko.
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Dias, José João Cruz. "Modelação e simulação baseada em agentes para cadeias de abastecimento." Master's thesis, 2016. http://hdl.handle.net/10198/14080.
Full textAbstract:
Nos últimos anos, considerando o vasto campo de aplicações, a modelação baseada em agentes tem mostrado o seu valor como uma ferramenta essencial para simular e analisar fenómenos sociais e económicos. Estas ferramentas permitem um fácil e rápido desenvolvimento de protótipos e provas de conceito, através da simulação de diferentes cenários.
Numa cadeia de abastecimento o stock das empresas é muito flexível, porque a quantidade de produtos encomendados variam diariamente. Sendo assim, os principais desafios são: gestão da produção, estratégias de transporte e política de stocks.
Neste trabalho é apresentado o desenvolvimento de um modelo de uma cadeia de abastecimento utilizando uma ferramenta de modelação baseada em agentes, NetLogo. A utilização deste modelo baseado em agentes para a cadeia de abastecimento, permite implementar mecanismos automáticos e dinâmicos de balanceamento do fluxo de fornecimento (relacionado com a gestão dos níveis de stocks dos vários intervenientes na cadeia de abastecimento), e simular diferentes estratégias para diferentes cenários.
Foi efetuado um estudo sobre a ferramenta NetLogo, que incidiu principalmente na análise das simulações da própria biblioteca e nos recursos disponibilizados na página web, nomeadamente guias de programação, dicionário NetLogo e tutoriais. Durante este estudo, foram também desenvolvidas várias simulações com o objetivo de explorar as várias funcionalidades disponíveis na ferramenta.
O modelo baseado em agentes para a simulação de uma cadeia de abastecimento é composto por fornecedores, fabricantes, distribuidores e clientes, através dos quais a matéria-prima é adquirida, transformada e entregue ao cliente. Estas entidades distribuídas são agentes inteligentes, autónomos e cooperativos, cada um responsável por uma ou mais atividades na cadeia de abastecimento. A interação entre os vários agentes permite a emergência do sistema global da cadeia de fornecimento.In recent years, considering the wide range of applications, the agent-based modelling has shown its value as an essential tool to simulate and analyze social and economic phenomena. These tools allow an easy and rapid development of prototypes and proofs of concept through the simulation of different scenarios. In a supply chain the stock of companies is very flexible, because the quantity of products ordered varies daily. Therefore, the main challenges are: production management, transport strategies and stock policy. In this paper we present the development of a supply chain model using an agent-based modeling tool, NetLogo. The use of this agents based on model to the supply chain, allows for the implementation automatic and dynamic mechanisms of supply flow balancing (related to the management of the levels of stocks of the various players in the supply chain), and simulate different strategies for different scenarios It was made a study about the NetLogo tool, which focused mainly on the analysis of its libraries, simulations and resources available on web page such as: program guides, NetLogo dictionary and tutorials. During this study, several simulations were also developed in order to explore the various features available in the tool. The agent-based model for the simulation of a supply chain is composed of suppliers, manufacturers, distributors and customers, through which the raw materials are acquired, transformed and delivered to the client. These entities are intelligent agents, being each one responsible for one or more activities in the supply chain, by interacting with other agents and perform its tasks.
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Popov, Nikolay Nikolov. "LAS (Landscape Architectural Simulations) : how can Netlogo be used in the landscape architectural design process? An explanatory document submitted in partial fulfillment of the requirements for the degree of Master of Landscape Architecture, Unitec New Zealand /." Diss., 2007. http://www.coda.ac.nz/cgi/viewcontent.cgi?article=1001&context=unitec_landsc_di.
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Catarino, Beatriz Cruz da Palma. "Modelos de Simulação em Saúde: a Multimorbilidade como Caso de Estudo." Master's thesis, 2018. http://hdl.handle.net/10362/63036.
Full textAbstract:
Atualmente as doenças crónicas são um dos mais dominantes problemas de saúde
pública que afetam socialmente e economicamente a sociedade e está previsto que a
carga dessas mesmas doenças ultrapasse 60% no ano de 2020. A multimorbilidade é definida
como a presença simultânea de duas ou mais doenças crónicas no mesmo individuo
e existem estudos que avaliam a sua prevalência e determinantes na população, mas
ainda são inexistentes modelos de simulação que avaliam o efeito de intervenções direcionadas
a estes doentes.
O objetivo deste estudo é desenvolver uma ferramenta de simulação para compreender
qual o plano de intervenção ideal, de entre as intervenções de modificação de estilos
de vida, adesão à terapêutica, apoio à autogestão das doenças, apoio familiar e
apoio psicológico, em doentes com multimorbilidade, que reduza o consumo de recursos
de saúde, melhore a qualidade de vida relacionada à saúde e aumente o tempo de
vida destes doentes.
Para tal, foi desenhado um modelo teórico com os possíveis cenários de simulação,
de uma ou duas intervenções, e recorreu-se ao método de Modelação e Simulação
baseada em Agentes (ABMS), especificamente à plataforma NetLogo, para implementar
o modelo.
Através do modelo desenvolvido, observou-se que planos de intervenção que englobem
a adesão à terapêutica prescrita revelam excelentes resultados na redução do
número de hospitalizações, enquanto que planos de intervenção que incluam o apoio à
autogestão das doenças são os mais eficazes para obter melhorias na qualidade de vida
de doentes com multimorbilidade. No que diz respeito a aumentar o tempo de vida, os
resultados sugerem que os planos de intervenção devem incluir o apoio social da família.
O modelo desenvolvido não se encontra validado, pelo que são necessários dados
reais para validar o modelo, de forma a ser possível utilizá-lo como ferramenta de investigação
ou de apoio à decisão médica.
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Varela, João Miguel Manuelito. "Simulação multiagente de tráfego rodoviário com base em mecanismo de reserva e com ligação a SIG." Master's thesis, 2011. http://hdl.handle.net/10071/8242.
Full textAbstract:
A massiva utilização do transporte rodoviário nos centros urbanos tem levado a
um crescente congestionamento das vias, afectando milhares de pessoas no seu bem-estar e qualidade de vida. As intersecções são zonas potencialmente problemáticas e
associadas ao congestionamento rodoviário. O mecanismo de reserva em intersecções
de STONE & DRESNER (2004) surge como uma solução para a atenuação desses
problemas. O objectivo consiste em maximizar a eficiência do movimento dos veículos
utilizando o mínimo de infra-estrutura centralizada, através de um mecanismo de
reserva de espaço e tempo (timeslots). Tendo em vista a validação e verificação desse
mecanismo em condições mais realistas de simulação, este trabalho realiza uma
replicação do modelo de STONE & DRESNER em NetLogo, acrescentando-lhe
condições de simulação mais flexíveis de configurar e condições de circulação
rodoviária mais realistas do que as originalmente propostas. Para tal recorre-se à
utilização de traçados rodoviários específicos através de Sistemas de Informação
Geográficos e de um algoritmo mais realista de car-following. Os resultados obtidos
diferem, em alguns aspectos, dos resultados do modelo original, mas em geral
confirmam que o mecanismo de reserva permite reduzir substancialmente os efeitos do
congestionamento.The massive use of road transport in urban centers has led to a high level of road congestion, which affects life quality and welfare of thousands of people around the world. In this domain intersections are considered potential troubled areas resulting from road congestion. The Reservation-Based Intersection Control Mechanism from STONE & DRESNER (2004) appears as a solution to mitigate this problem. The goal is to maximize the efficiency of the moving vehicles, with minimal centralized infrastructure, through a space and time reservation-based mechanism. In order to check and validate the mechanism in flexible and realistic conditions, a replication of the STONE & DRESNER model is implemented in Netlogo with additional requirements: (i) the network of roads in the simulations are configured through a geographical information system; (ii) a more realistic car-following model is used in the vehicles. Whereas our results seem to be somehow different from the original results, they confirm that the reservation-based mechanism can substantially reduce the effects of congestion.
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Nurdiansyah, Fuad. "Local and Landscape Management of Biological Pest Control in Oil Palm Plantations." Doctoral thesis, 2016. http://hdl.handle.net/11858/00-1735-0000-0028-877B-F.
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(8097878), Shulin Li. "APPLYING MULTI AGENT SYSTEM TO TRACK UAV MOVEMENT." Thesis, 2019.
Find full textAbstract:
The thesis
introduces an
innovative UAV detection system. The commercial UAV market is booming.
Meanwhile,
the risks and threats from improper UAV usages are also booming.
CUAS is to protect
the
public and facilities. The problem is a lack of an intelligent platform
which
can adapt many sensors for UAV detection. The hypothesis is that, the
system
can track the UAV’s movement by applying the multi-agent system (MAS) to
UAV route track. The experiment proves that the multi-agent
system benefits for the UAV track.