Relevant bibliographies by topics / Netlogo

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Netlogo'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 October 2024

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Journal articles on the topic "Netlogo"

1

Derkach, Tеtiana M., and Nadiia V. Stets. "СЕРЕДОВИЩЕ ПРОГРАМУВАННЯ NETLOGO У НАВЧАННІ ХІМІЇ." Information Technologies and Learning Tools 38, no. 6 (December 10, 2013): 96–110. http://dx.doi.org/10.33407/itlt.v38i6.933.

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У статті розглянуті переваги і можливості застосування середовища програмування NetLogo для вивчення хімічних дисциплін в університеті. Розроблені в NetLogo комп'ютерні моделі використані для організації самостійної роботи студентів у вивченні газових законів у рамках курсу неорганічної хімії. Описані особливості моделей, наведені приклади інструкцій для роботи з ними, методичних рекомендацій для викладачів, завдань для студентів, у тому числі і графічних. Показано, що застосування комп’ютерного моделювання значно покращує розуміння теми у всіх студентів, незалежно від рівня їх базової підготовки з хімії.
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Sklar, Elizabeth. "NetLogo, a Multi-agent Simulation Environment." Artificial Life 13, no. 3 (July 2007): 303–11. http://dx.doi.org/10.1162/artl.2007.13.3.303.

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Browning, Fred, Kaitlyn Moore, and Jennifer Campos. "Exploring Negative Absolute Temperature Using NetLogo." Physics Teacher 57, no. 1 (January 2019): 26–27. http://dx.doi.org/10.1119/1.5084922.

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4

Mezencev, Konstantin Nikolaevich. "Multi-Agent Simulation in NetLogo Software." Automation and Control in Technical Systems, no. 1 (April 5, 2015): 10. http://dx.doi.org/10.12731/2306-1561-2015-1-2.

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Liu, Shang, Shao Hua Dong, and Qing Hu An. "Research on Public Transportation Based on Complex Network and Multi-Agent Simulation." Applied Mechanics and Materials 364 (August 2013): 183–87. http://dx.doi.org/10.4028/www.scientific.net/amm.364.183.

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This paper uses genetic algorithm to optimize public transportation network by extracting the topology of a local public transportation network as an instance. An optimization model is formulated and characteristics of the optimal network are analyzed. A simulation using multi-agent simulation software NetLogo is successfully implemented to verify the optimal results. Results show the validity of optimization in public transportation network by the proposed genetic algorithm. From the study, it is also found that NetLogo is of great advantage for simulation verification in complex networks.
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Ajie Sukarno, Setyawan, and Yuliadi Erdani. "Desain Antarmuka Pada Vehicle Routing Problem Untuk Manajemen Armada Multi-Drone." JURNAL ILMIAH ILMU KOMPUTER 6, no. 2 (September 2, 2020): 7–14. http://dx.doi.org/10.35329/jiik.v6i2.150.

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Artikel ini membahas desain antarmuka pada vehicle routing problem (VRP) 3-dimensi untuk armada multi-drone. Armada ini melakukan perjalanan untuk mengunjungi serangkaian titik dengan memperhatikan batasan tertentu. Karena VRP diklasifikasikan sebagai masalah optimasi NP-hard, algoritma aproksimasi seperti Algoritma Genetika diterapkan untuk menemukan solusi terbaik untuk masalah optimisasi kombinatorial ini. Dalam merancang GUI ini, kami menggunakan Netlogo sebagai alat untuk membangun antarmuka, dan juga untuk eksperimen dan simulasi. Hasil penelitian ini menunjukkan bahwa dengan menggunakan Netlogo, kita dapat mendesain antarmuka untuk mensimulasikan algoritma aproksimasi dalam penyelesaian permasalahan optimasi kombinatorial, yang mudah dioperasikan oleh pengguna
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Hakim, Gad, Robin Braun, and Justin Lipman. "Adapted Diffusion for Energy-Efficient Routing in Wireless Sensor Networks." Electronics 13, no. 11 (May 27, 2024): 2072. http://dx.doi.org/10.3390/electronics13112072.

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We present a routing model called adapted diffusion for ad hoc wireless sensor networks that is more energy efficient than directed diffusion. Adapted diffusion is modeled using NetLogo with agent-based modeling. In this agent-based NetLogo model, we set the distance from a random source and the distance from the sink to optimize the routing protocols. By using this routing technique significant energy savings were achieved. We consider a three-dimensional communication network that can be used in a building or a stack of shipping containers. Our model can be extended to a 3D model.
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Altawee, Mark. "Book Review: Agent-based computational economics Using NetLogo." Social Science Computer Review 33, no. 3 (July 3, 2014): 414–15. http://dx.doi.org/10.1177/0894439314541776.

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Flores, Dora Luz, Claudia Gomez, Edgar Manzanarez Ozuna, and Gustavo Hirata. "Computational modeling of the MAPK pathway using NetLogo." Latin American Journal of Applied Engineering 1, no. 1 (December 31, 2018): 11–17. http://dx.doi.org/10.69681/lajae.v1i1.3.

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Las vías de transducción de señales tienen un papel importante en el desarrollo celular, ya que son la principal vía de comunicación de las células con su entorno, el cual determina la actividad de las mismas promoviendo respuestas celulares tales como: proliferación, diferenciación, migración, desarrollo, apoptosis, etc., se han realizado modelos que representan estas vías utilizando diferentes técnicas, tales como EDOs, métodos estocásticos, redes de Petri, cálculo pi, redes booleanas, redes bayesianas, autómatas celulares y sistemas basados en agentes, entre otros. En este trabajo de investigación se presenta un modelado basado en agentes y la simulación del conjunto de eventos posteriores a la activación de la molécula Ras, en la sección intracelular de la vía MAPK utilizando la herramienta llamada NetLogo.
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Hamhalter, Aleš, and Petr Švarný. "Simulation of Self-Reconfigurable Material Systems." Applied Mechanics and Materials 825 (February 2016): 119–22. http://dx.doi.org/10.4028/www.scientific.net/amm.825.119.

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Article investigates possible ways of implementing aspects of mechanical load into a simulation of self-reconfigurable robotic system. Simulation is done in Netlogo environment with connection to Oofem FEM solver.
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Dissertations / Theses on the topic "Netlogo"

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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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4

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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7

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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8

Temel-Candemir, Nurcan. "Agency theory : an extended conceptualisation and reformation." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16188/.

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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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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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Books on the topic "Netlogo"

1

Vincent, James, and Jansen Erin, eds. NetLingo: The Internet dictionary. Ojai, CA, USA: NetLingo Inc., 2002.

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2

Science and Engineering Research Council (Great Britain). and Netlon Ltd, eds. Polymer grid reinforcement: Proceedings of a conference sponsored by the Science and Engineering Research Council and Netlon Ltd. and held in London on 22 and 23 March 1984. London: T. Telford, 1985.

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The Open The Open Courses Library. Fundamentals of NetLogo. Independently Published, 2019.

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Agent-based Spatial Simulation with Netlogo. Elsevier, 2015. http://dx.doi.org/10.1016/c2015-0-01299-0.

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Damaceanu, Romulus-Catalin, ed. Agent-Based Computational Economics Using NetLogo. BENTHAM SCIENCE PUBLISHERS, 2013. http://dx.doi.org/10.2174/97816080548931130101.

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Banos, Arnaud, Christophe Lang, and Nicolas Marilleau. Agent-Based Spatial Simulation with NetLogo: Implementation. Wiley & Sons, Incorporated, John, 2020.

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García-Valdecasas, José Ignacio. Simulación basada en agentes. Introducción a NetLogo. Centro de Investigaciones Sociológicas, 2016.

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García-Valdecasas, José Ignacio. Simulación basada en agentes. Introducción a NetLogo. Centro de Investigaciones Sociológicas, 2016.

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Banos, Arnaud, Christophe Lang, and Nicolas Marilleau. Simulation Spatiale à Base D'agents Avec NetLogo. ISTE Editions Ltd., 2017.

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BANOS. Simulation Spatiale a Base de Netlogo 1. ISTE Editions Ltd., 2015.

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Book chapters on the topic "Netlogo"

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Gooding, Tim. "Netlogo." In Economics for a Fairer Society, 37–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17020-2_5.

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Gooding, Tim. "Evolution in Netlogo." In Economics for a Fairer Society, 45–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17020-2_6.

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Spears, William M. "NetLogo and Physics." In Physicomimetics, 27–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22804-9_2.

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Spears, William M. "NetLogo and Physicomimetics." In Physicomimetics, 55–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22804-9_3.

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Albiero, Federico, Frank H. P. Fitzek, and Marcos D. Katz. "Introduction to NetLogo." In Cognitive Wireless Networks, 579–602. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5979-7_30.

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Procházka, Jan, Richard Cimler, and Kamila Olševičová. "Pedestrian Modelling in NetLogo." In Advances in Intelligent Systems and Computing, 303–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10783-7_33.

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Beeker, Emmet, and Matthew Koehler. "NetLogo Meets Discrete Event Simulation." In Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas, 145–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35902-7_10.

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Sulis, Emilio, and Kuldar Taveter. "Agent-Based Simulation with NetLogo." In Agent-Based Business Process Simulation, 53–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98816-6_4.

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Shen, Zhenjiang, Xiaobai A. Yao, Mitsuhiko Kawakami, Ping Chen, and Masahito Koujin. "Integration of MAS and GIS Using Netlogo." In Geospatial Techniques in Urban Planning, 369–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-13559-0_18.

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Stigberg, David. "An Introduction to the NetLogo Modeling Environment." In Ecologist-Developed Spatially-Explicit Dynamic Landscape Models, 27–41. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1257-1_3.

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Conference papers on the topic "Netlogo"

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Stonedahl, Forrest, David Weintrop, Paulo Blikstein, and Christine Shannon. "NetLogo." In Proceeding of the 44th ACM technical symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2445196.2445518.

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Al-Roomi, May, Ayed Salman, and Imtiaz Ahmad. "Analyzing MBSA Performance Using NetLogo." In 2013 European Modelling Symposium (EMS). IEEE, 2013. http://dx.doi.org/10.1109/ems.2013.12.

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Head, Bryan, Arthur Hjorth, Corey Brady, and Uri Wilensky. "Evolving agent cognition with Netlogo LevelSpace." In 2015 Winter Simulation Conference (WSC). IEEE, 2015. http://dx.doi.org/10.1109/wsc.2015.7408430.

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Martin, Kit. "Multitouch NetLogo for Museum Interactive Game." In CSCW '18: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3272973.3272989.

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Kořínek, Milan, Ondřej Tázlar, and Kamila Štekerová. "Digital Twin Models: BIM Meets NetLogo." In Hradec Economic Days 2021, edited by Jan Maci, Petra Maresova, Krzysztof Firlej, and Ivan Soukal. University of Hradec Kralove, 2021. http://dx.doi.org/10.36689/uhk/hed/2021-01-040.

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Bezirgiannis, Nikolaos, I. S. W. B. Prasetya, and Ilias Sakellariou. "HLogo: A Parallel Haskell Variant of NetLogo." In 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SCITEPRESS - Science and Technology Publications, 2016. http://dx.doi.org/10.5220/0005983501190128.

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Armendariz, Marcelo, Juan C. Burguillo, Ana Peleteiro, Geralrd Arnould, and Djamel Khadraoui. "Carpooling: A Multi-Agent Simulation In Netlogo." In 25th Conference on Modelling and Simulation. ECMS, 2011. http://dx.doi.org/10.7148/2011-0061-0067.

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Lima, Jefferson Ribeiro, Ricardo Daniel Prestes Jacaúna, Miriam Garcia Müller, and Crediné Silva de Menezes. "Sistemas Complexos com Apoio do ChatGPT na Interpretação de Gráficos para Estudantes com Deficiência Visual." In Simpósio Brasileiro de Informática na Educação. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbie.2023.235015.

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Este artigo apresenta um relato de experiência no desenvolvimento e aplicação de um ambiente de simulação multiagente, baseado no Netlogo e com suporte do ChatGPT, para promover a acessibilidade e inclusão de estudantes com deficiência visual (DV) nas aprendizagens de sistemas complexos. Os resultados obtidos, evidenciaram a acessibilidade, proporcionada pelo protótipo, que oferece recursos textuais no simulador Netlogo. Essa abordagem facilita a compreensão dos sistemas complexos, bem como, os recursos adaptados auxiliam na interpretação dos gráficos por estudantes com DV, promovendo a igualdade de oportunidades educacionais.
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Abbott, Russ, and Jung Lim. "PyLogo: A Python Reimplementation of (Much of) NetLogo." In 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010466401990206.

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Ramirez, Wulfrano Arturo Luna, and Maria Fasli. "Integrating NetLogo and Jason: A disaster-rescue simulation." In 2017 9th Computer Science and Electronic Engineering (CEEC). IEEE, 2017. http://dx.doi.org/10.1109/ceec.2017.8101627.

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Reports on the topic "Netlogo"

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Соловйов, Володимир Миколайович, Олександр Ілліч Теплицький, and Ілля Олександрович Теплицький. Теоретико-методологічні засади конструктивістського підходу до побудови освітнього процесу. Книжкове видавництво Киреєвського, 2012. http://dx.doi.org/10.31812/0564/1182.

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У статті розкриваються витоки, еволюція, сучасний стан концепції соціального конструктивізму в навчанні як напряму філософії освіти, ключова ідея якої полягає в принциповій неможливості передавання знань суб’єктові навчання в готовому вигляді. Основними принципами реалізації соціального конструктивізму в навчанні є принцип організації навчання через дослідження, конструювання навчально-дослідницьких співтовариств, принцип орієнтації на особистість, насиченості освітнього простору носіями знань, принцип співпраці, що під час навчального процесу зумовлюють постійну взаємодію індивідуалізованих навчальних конструктів суб’єктів навчання у відповідному навчальному середовищі – реальній чи віртуальній освітній спільноті. Авторами проаналізовано можливості провідних соціально-конструктивістських засобів навчання, які втілюються в педагогічних середовищах Лого і його похідних – NetLogo та StarLogo; Squeak і похідного від нього Scratch; Alice та ін. і є основою підтримки групового, дистанційного та мобільного навчання; засобами організації спільної роботи тих, хто навчається, у тому числі самостійно, та подання її результатів у Web.
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