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Journal articles on the topic 'Netlogo platform'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Pigorev, Dmitry. "Mesa Python platform for agent-based modelling." Artificial societies 16, no. 3 (2021): 0. http://dx.doi.org/10.18254/s207751800008176-2.

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Mesa is a licensed by Apache development environment for agent-based models (or ABM) in Python. It allows users to create agent-based models using built-in basic components (such as spatial and agent schedulers) or custom implementations; visualize them using the interface in a web browser; and analyze their results using Python data analysis tools. The purpose of the development of the environment was the desire of the authors to create an alternative for NetLogo, Repast or MASON based on the Python language.

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Bezzout, Hamid, and Hanan El Faylali. "Agent-based model simulation for ground penetration radar based on Netlogo platform." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 576. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp576-586.

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Ground penetrating radar is used to detect magnetic materials underground by transmitting an electromagnetic wave into the material and receive the reflected pulse. In this paper, we develop a new agent-based model to simulate and evaluate the behavior of the ground penetrating radar based on Maxwell’s equations. This model contains several agents that represent the electric field, the magnetic field, the transmitted wave, the simulated medium, and the object to be detected. The implementation of this model is performed in Netlogo plaform because of its simplicity of coding and robustness of s

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Bezzout, Hamid, and Hanan El Faylali. "Agent-based model simulation for ground penetration radar based on Netlogo platform." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 576–86. https://doi.org/10.11591/ijeecs.v26.i1.pp576-586.

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Ground penetrating radar is used to detect magnetic materials underground by transmitting an electromagnetic wave into the material and receive the reflected pulse. In this paper, we develop a new agent-based model to simulate and evaluate the behavior of the ground penetrating radar based on Maxwell’s equations. This model contains several agents that represent the electric field, the magnetic field, the transmitted wave, the simulated medium, and the object to be detected. The implementation of this model is performed in Netlogo plaform because of its simplicity of coding and robustnes

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Palrecha, Jiya, Prakash Hegade, and Ashok Shettar. "NetLogo Models for Pattern Recognition in Problem Based Learning." Journal of Engineering Education Transformations 38, IS2 (2025): 260–67. https://doi.org/10.16920/jeet/2025/v38is2/25031.

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Problem-based learning and computational thinking, when integrated as a teaching-learning pedagogy, can provide a platform for both teachers and students to explore how to teach and how to learn effectively. Pattern recognition, one of the key aspects of computational thinking, can assist computer science engineers in modeling problem scenarios through accommodation and assimilation. This study proposes a research question to analyze the effectiveness of pattern recognition in modeling the problem scenarios using Schema Theory as a conceptual framework. A multi-method approach was adopted as t

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Qi, Hui, Mingyang Zhang, Hong Chen, and Feifei Liu. "Simulation of Chinese Coal Mine Safety Supervision System Performance Based on Netlogo Platform." Journal of Computational and Theoretical Nanoscience 13, no. 8 (2016): 5072–80. http://dx.doi.org/10.1166/jctn.2016.5384.

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Zhao, Chun Xiao, Xiu Fang Zhang, and Wei Na Gong. "Research on Simulation on Classroom Discipline Based on Complex System Theory with Scientific Teaching Materials." Applied Mechanics and Materials 63-64 (June 2011): 736–39. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.736.

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Classroom discipline is a complex and variable dynamic process, classroom problem behavior always leads classroom discipline problem that will affect teaching quality. The simulation on classroom discipline of multiagent system based on complex system theory uses dynamic simulation platform NetLogo. The result of simulation shows that this method can reproduce the dynamics of discipline behavior’s three stages in ecological classroom. This simulation provides forceful support for the classroom discipline management of teachers.

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ILYINSKY, A. I. "AGENT MODELING OF COMPETITION AND COEVOLUTION OF FINTECH AND REGTECH2 IN THE GLOBAL FINANCIAL ECOSYSTEM: THE RED QUEEN EFFECT." Scientific Works of the Free Economic Society of Russia 230, no. 4 (2021): 183–88. http://dx.doi.org/10.38197/2072-2060-2021-230-4-183-188.

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This paper examines the competition and co-evolution of FinTech and RegTech2 in the global financial ecosystem using the methods of evolutionary economics. A simple agent-based model is built on the NetLogo platform and the emergence of cycles of technological dominance in the ecosystem is shown. The paper also discusses the “technological arms race” of regulators and system participants as a result of the co-evolution and competition of two technology groups, known as the red queen effect.

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Ginovart, Marta, and Clara Prats. "A Bacterial Individual-Based Virtual Bioreactor to Test Handling Protocols in a Netlogo Platform." IFAC Proceedings Volumes 45, no. 2 (2012): 647–52. http://dx.doi.org/10.3182/20120215-3-at-3016.00115.

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Taherian, Mostafa, Seyed Mahmoud Mousavi, and Hooman Chamani. "An agent-based simulation with NetLogo platform to evaluate forward osmosis process (PRO Mode)." Chinese Journal of Chemical Engineering 26, no. 12 (2018): 2487–94. http://dx.doi.org/10.1016/j.cjche.2018.01.032.

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Zhang, Jiamin. "Simulation-Based Schedule Optimization for Virtual Coupling-Enabled Rail Transit Services with Multiagent Technique." Journal of Advanced Transportation 2023 (March 13, 2023): 1–21. http://dx.doi.org/10.1155/2023/3196066.

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Virtual coupling (VC) is a train-centric next generation signalling system, which can enable multiple trains to operate in a formation just like one train or decouple separately on-the-run or at station flexibly or as planned. With the aim of optimizing the interdeparture train headway time, providing the variable capacity for diverse passenger demand, maximizing the passenger riding comfort degree, and minimizing passenger travel cost and train operation cost, the dynamic schedule for VC-enabled rail transit services is investigated with the multiagent simulation technique on NetLogo platform

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Reyna-González, Julissa Elizabeth, Andy Williams Chamoli Falcon, Luis Vladimir Urrelo Huiman, Marco Alberto Suárez Pozo, and Yamileé Melissa Cáceres Vilca. "Simulation of blueberry production in Lambayeque, Peru: An agent-based approach." Edelweiss Applied Science and Technology 8, no. 6 (2024): 8534–44. https://doi.org/10.55214/25768484.v8i6.3827.

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This study presents an agent-based simulation to analyze and optimize blueberry production in Lambayeque, Peru. Using data [1]and various academic sources, a model was developed on the NetLogo platform. This model simulates the interactions between climatic, agronomic and logistical factors that affect the production and export of blueberries. The results suggest that the implementation of advanced technologies and optimized agricultural practices can significantly improve the efficiency and competitiveness of Peruvian producers in the global market. Simulation offers a valuable tool for makin

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Zandi, M., and M. Mohebbi. "An agent-based simulation of a release process for encapsulated flavour using the NetLogo platform." Flavour and Fragrance Journal 30, no. 3 (2015): 224–29. http://dx.doi.org/10.1002/ffj.3234.

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Rini, Neneng Kartika, Yosini Deliana, Kunto Adi Wibowo, et al. "Simulating value co-creation in digital agri-food platforms: An agent-based model of consumer–producer interaction in the organic vegetable market." Edelweiss Applied Science and Technology 9, no. 6 (2025): 2553–67. https://doi.org/10.55214/25768484.v9i6.8432.

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This study explores how value co-creation (VCC) mechanisms shape consumer and producer engagement on digital platforms for organic vegetables using an Agent-Based Modelling (ABM) approach. It addresses key challenges such as trust issues, price sensitivity, and limited consumer participation. A virtual simulation was developed in NetLogo with diverse agents, including millennials, baby boomers, and organic producers, interacting across five scenarios: baseline, full VCC integration, high price sensitivity, trust shock, and enhanced co-learning. The model incorporates key dimensions of value co

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Xiaobo, Tao, and Jin Ziniu. "A Social Network Structure Analysis of Former Smokers in Emerging Markets Using China’s Twitter." Tobacco Regulatory Science 7, no. 5 (2021): 2286–97. http://dx.doi.org/10.18001/trs.7.5.1.1.

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Objectives: Social networks are widely used for proping the process of tobacco control in emerging markets, but their formation and effects are not well understood. Using the micro blogging platform Sina (Sina Weibo, China’s Twitter) as an example, this article conducts a multi-agent simulation analysis of the Netlogo platform to analyze the micro-level behavioral characteristics of former smokers and macro-evolutionary law in the formation of social networks in emerging markets. The results show that the tobacco control in use of social networks have two characteristics: limitations on the si

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Fei, Xiang, and Jian Zhou. "Network Security Study Based on Data Farming." Applied Mechanics and Materials 738-739 (March 2015): 1169–73. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1169.

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With the development of network technology and network size, network security incidents occur more frequently. Exploring the reasons and processes that cause network security incidents can help us analyze the current network situation and formulate appropriate coping strategies. In order to find the causes we apply data farming in the filed of network security, a data farming platform based on simulation software NetLogo and data farming tool OldmcData was established in this paper. By planting data in the area of interest, data mining, visualization and such analytical methods can be applied

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Fan, Li, Lei Wei, and Xin Jian Zhao. "A Hierarchical Control Strategy of Multi-Microgrids." Applied Mechanics and Materials 738-739 (March 2015): 955–61. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.955.

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This paper gives a hierarchical control strategy of multi-microgrids. The hierarchical control structure is made up with microgrid center controller (MGCC), microgrid controller (MC), generator controller (GC), load controller (LC). Controllers recognize the current operation mode of microgrids according to state trigger event and local operation state, realize transition of operation state. Controller is controlled by the upper controller, but once the communication among controllers is interrupted, MC can operate normally according to its local operation state. Thus, the MCs have a certain i

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Ivanova, Yoana. "Methods and means for agent-based visualization of digitized data." Yearbook Telecommunications 8 (October 3, 2021): 13–22. http://dx.doi.org/10.33919/ytelecomm.21.8.2.

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The research aims to present the possibility to visualize the processes simulated by agent-based modelling method, contributing to a better understanding the methods of digital transformations of physical objects and the means for visualization of digitized data. The theoretical framework is supported by examples related to practical realization of agent-based visualization in the simulation environment NetLogo or a cloud platform. The individual stages in the process of working with a personal online GIS-assistant Land Viewer for performing built-in analysis of satellite images, with data clu

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Celik, Burcu, and Yusuf Zorba. "AN APPLICATION OF AGENT-BASED TRAFFIC FLOW MODEL FOR MARITIME SAFETY MANAGEMENT EVALUATION." International Journal of Maritime Engineering 165, A1 (2023): 55–70. http://dx.doi.org/10.5750/ijme.v165ia1.1172.

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This paper aims to analyse maritime traffic safety assessment via a traffic flow simulation model. The model developed via NetLogo platform, agent-based modelling and simulation approach. And it is implemented on an open sea area, at the Aegean Sea to show its applicability. The model is verified through experiments conducted in the area. The simulation outputs give the risky locations and scores. Risky locations and risk scores in the area are determined as the outputs of the simulation runs. A traffic separation scheme is established to prove the suitability of the model as adaptable and upd

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Zandi, Mohsen. "Simulation of Ascorbic Acid Release from Alginate-Whey Protein Concentrates Microspheres at the Simulated Gastrointestinal Condition Using Netlogo Platform." Journal of Food Process Engineering 40, no. 1 (2015): e12327. http://dx.doi.org/10.1111/jfpe.12327.

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Arvizu Arvizu, María Socorro, and Álvaro Bracamonte Sierra. "Emergencia y complejidad en los Sistemas Regionales de Innovación: aplicación de una metodología basada en agentes del sector biotecnológico del estado de Sonora." Frontera norte 32 (January 1, 2020): 1–29. http://dx.doi.org/10.33679/rfn.v1i1.1987.

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Using a dataset gathered through a small sample of biotech firms in the Sonora region, we explore concepts of emergency and complexity inside a RIS (Regional Innovation System), in a development stage through the evolutionary microeconomics framework. For this, we explored the implementation of an ABS (Agent Based System) coded in the NetLogo platform, in which we simulated the behavior of firms in network behavior for the cooperation in the exchange of knowledge and new product development. We found this methodology highly useful for predictive analysis of possible courses of network behavior

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Ye, Xincai, and Lin Miao. "Research on Decision-Making Based on the Three-Party Evolutionary Game of Tourists, Scenic Spots, and Government." Journal of Organizational and End User Computing 34, no. 8 (2022): 1–23. http://dx.doi.org/10.4018/joeuc.315315.

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The continuous upsurge of tourism consumption activities has promoted economic development, but at the same time, it has also produced numerous problems, such as low-quality service and high admission prices at scenic spots, which are not conducive to the sustainable development of tourism. In this paper, in view of the phenomenon of low-quality service of scenic spots, a three-party evolutionary game model of scenic spots, tourists, and government is constructed under the participation of tourists and the reward-subsidy mechanism and punishment mechanism, and a simulation analysis is performe

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Jiang, Hong, Chen Chen, Shukuan Zhao, and Yuhao Wu. "Evolution of a Technology Standard Alliance Based on an Echo Model Developed through Complex Adaptive System Theory." Complexity 2020 (November 23, 2020): 1–15. http://dx.doi.org/10.1155/2020/8877424.

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The evolution of the technology standard alliance (TSA) is examined using complex adaptive system (CAS) theory. Taking TSA as a dynamic CAS, an echo model is constructed to depict the mechanism of its evolution, and a model is simulated on the NetLogo platform. The echo model includes a basic model, an extended model, and a three-layer echo model. The adhesive aggregation of agents is explained, and the three evolutionary stages of agents’ entry, migration, and exit are analyzed. Moreover, the adaptability of agents in TSA is quantified. The results of simulation show the evolution of the TSA

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Zhang, Honghai, Yan Xu, Lei Yang, and Hao Liu. "Macroscopic Model and Simulation Analysis of Air Traffic Flow in Airport Terminal Area." Discrete Dynamics in Nature and Society 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/741654.

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We focus on the spatiotemporal characteristics and their evolvement law of the air traffic flow in airport terminal area to provide scientific basis for optimizing flight control processes and alleviating severe air traffic conditions. Methods in this work combine mathematical derivation and simulation analysis. Based on cell transmission model the macroscopic models of arrival and departure air traffic flow in terminal area are established. Meanwhile, the interrelationship and influential factors of the three characteristic parameters as traffic flux, density, and velocity are presented. Then

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Badraoui, Safae, Khalid Bensaid, Ahmed Mouad El Haloui, and Rajae Aboulaich. "Impact of Qualitative Characteristics on Market Equilibrium: Simulation with Agent-Based Modeling." Review of Pacific Basin Financial Markets and Policies 20, no. 02 (2017): 1750013. http://dx.doi.org/10.1142/s0219091517500138.

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This paper involves developing financial utility function that considers compliance to a certain qualitative characteristic and studies the impact on market equilibrium prices, should this criterion be Sharia compliance, fair-trade, environmental, social and governance principles or other ethical aspect. The goal is to show that individual utility can depend on other parameters than wealth and risk aversion, that therefore influence equilibrium market prices. This has been done by examining a possible utility function that takes into account individual sensitivity to the criterion and the intr

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Sareddy, Mohan Reddy. "Enhancing Smart City Healthcare with Hybrid Swarm Optimization: A Comparison of MFO-PSO and ACO Approaches." IRO Journal on Sustainable Wireless Systems 7, no. 1 (2025): 1–18. https://doi.org/10.36548/jsws.2025.1.001.

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Optimal healthcare transportation is a key challenge of smart cities, particularly in cases of emergencies, when traffic congestion and inefficient routing cause delays. In this work, a new hybrid swarm intelligence algorithm based on Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) for optimizing real-time multi-source multi-destination (MSMD) traffic routing in healthcare services is presented. The hybrid approach dynamically adjusts vehicle paths based on traffic conditions to reduce travel time, improve traffic flow, and minimize fuel cons

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Utepbergenov, Irbulat, and Syrym Seydazimov. "Technological Solutions for Creating Multi-Agent Systems in the Field of Innovation." Intellectual Technologies on Transport, no. 4 (December 30, 2024): 13–23. https://doi.org/10.20295/2413-2527-2024-440-13-23.

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Abstract. In the context of the rapid development of science and technology, traditional methods are no longer effective, which requires more intelligent and adaptive solutions for information management and processing. The article explores and analyzes multi-agent systems (MAS), their role and importance in the field of innovation. Objective: systematization of technological solutions used in the development of multi-agent systems in innovation activities, as well as assessment of their impact on the effectiveness of innovation processes. Result and novelty: an analysis of architectural and a

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Janota, Aleš, Vojtech Šimák, and Jozef Hrbček. "Multiagent Model of Rail-Road Intersection with Connected Vehicles." Journal of Automation, Electronics and Electrical Engineering 2, no. 1 (2021): 17–24. http://dx.doi.org/10.24136/jaeee.2020.002.

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The multiagent approach to modelling, traditionally dedicated for distributed systems, can be applied on any platform where there are more processes or control threads. The world of surface transport is a typical example of such a situation where high numbers of dynamic entities (agents) interacting with each other represent a complex problem to solve, analyse and visualise. The main focus of this paper is on functional description of the traffic control problem at the rail-road intersection. Unlike conventional approaches, this model assumes usage of modern (infrastructure-to-vehicle, vehicle

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Laužikas, Rimvydas, Darius Plikynas, Vytautas Dulskis, Leonidas Sakalauskas, and Arūnas Miliauskas. "Application of Agent-based Modeling for Cultural Information-based Decisions Making." Informacijos mokslai 88 (April 29, 2020): 8–28. http://dx.doi.org/10.15388/im.2020.88.29.

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The impact of cultural processes on personal and social changes is one of the important research issues not only in contemporary social sciences but also for simulation of future development scenarios and evidence-based policy decision making. In the context of the theoretical concept of cultural values, based on the system theory and theory of social capital, the impact of cultural events could be analyzed and simulated by focussing on the construction/deconstruction of social capital, which takes place throughout the actor’s cultural participation. The main goal of this research is the devel

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He, Zhengqi, Dechun Huang, and Junmin Fang. "Social Stability Risk Diffusion of Large Complex Engineering Projects Based on an Improved SIR Model: A Simulation Research on Complex Networks." Complexity 2021 (December 26, 2021): 1–17. http://dx.doi.org/10.1155/2021/7998655.

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The development of China’s new urbanization has driven the rapid increase in large complex engineering projects, which have the characteristics of large-scale investment, long-term construction, and wide social influence, easily causing benefit conflicts among relevant stakeholders, and breaking out social stability risks. In the previous research, the risks of large complex engineering projects mainly concentrated on the assessment of economic risk, schedule risk, etc. However, there were few studies on social risks, and they did not consider how the risks spread on the complex networks based

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Susnea, Ioan, Emilia Pecheanu, and Adina Cocu. "Agent-based modeling and simulation in the research of environmental sustainability. A bibliography." Present Environment and Sustainable Development 15, no. 1 (2021): 191–210. http://dx.doi.org/10.15551/pesd2021151015.

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In the context of the alarming news about climate changes, resource depletion, ecological disasters, and demographic trends, the interest of the researchers and the scientific literature on topics related to sustainability grew exponentially in the past two decades. In 2020 only, the number of publications indexed in the Web of Science (WoS) having the keywords “sustainability” or “sustainable development” in the topic was higher than 42,000. Facing this flood of literature, the present work aims to ease the effort of locating relevant studies about the applications of Agent-based Modeling and

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Wu, Wei, Yang Liu, Yue Xu, Quanlun Wei, and Yi Zhang. "Traffic Control Models Based on Cellular Automata for At-Grade Intersections in Autonomous Vehicle Environment." Journal of Sensors 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/9436054.

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Autonomous vehicle is able to facilitate road safety and traffic efficiency and has become a promising trend of future development. With a focus on highways, existing literatures studied the feasibility of autonomous vehicle in continuous traffic flows and the controllability of cooperative driving. However, rare efforts have been made to investigate the traffic control strategies in autonomous vehicle environment on urban roads, especially in urban intersections. In autonomous vehicle environment, it is possible to achieve cooperative driving with V2V and V2I wireless communication. Without s

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Shehab, Abdulhabib Alzaeemi, Sathasivam Saratha, and Velavan Muraly. "Hybrid Genetic Algorithm Model in Neuro Symbolic Integration." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2144–49. https://doi.org/10.35940/ijeat.D8761.049420.

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The development of artificial neural network and logic programming plays an important part in neural network studies. Genetic Algorithm (GA) is one of the escorted randomly searching technicality that uses evolutional concepts of the natural election as a stimulus to solve the computational problems. The essential purposes behind the studies of the evolutional system is for developing adaptive search techniques which are robust. In this paper, GA is merged with agent based modeling (ABM) by using specified proceedings to optimise the states of neurons and energy function in the Hopfield neural

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Chen, Bin, Hailiang Chen, Dandan Ning, et al. "A Two-Tier Partition Algorithm for the Optimization of the Large-Scale Simulation of Information Diffusion in Social Networks." Symmetry 12, no. 5 (2020): 843. http://dx.doi.org/10.3390/sym12050843.

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As online social networks play a more and more important role in public opinion, the large-scale simulation of social networks has been focused on by many scientists from sociology, communication, informatics, and so on. It is a good way to study real information diffusion in a symmetrical simulation world by agent-based modeling and simulation (ABMS), which is considered an effective solution by scholars from computational sociology. However, on the one hand, classical ABMS tools such as NetLogo cannot support the simulation of more than thousands of agents. On the other hand, big data platfo

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Mahdizadeh Gharakhanlou, N., and M. S. Mesgari. "DEVELOPING A CELLULAR AUTOMATA MODEL FOR SIMULATING RAINFALL-RUNOFF PROCESS (CASE STUDY: BABOL CATCHMENT)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 697–702. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-697-2019.

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Abstract. The rainfall-runoff process is one of the central aspects of hydrology. In the rainfall-runoff process, the fast accumulation of rainwater in the catchments and rivers may lead to a flood disaster. To prevent and manage such disasters, it is essential to model and simulate the runoff process. The cellular automata (CA) is a computational model that can represent and simulate complex and dynamic natural phenomena. The main objective of this research is to develop a CA model of the rainfall-runoff process and to use it for simulating and representation of the runoff in the Babol catchm

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Solovyev, Alexey, Maxim Mikheev, Leming Zhou, et al. "SPARK." International Journal of Agent Technologies and Systems 2, no. 3 (2010): 18–30. http://dx.doi.org/10.4018/jats.2010070102.

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Multi-scale modeling of complex biological systems remains a central challenge in the systems biology community. A method of dynamic knowledge representation known as agent-based modeling enables the study of higher level behavior emerging from discrete events performed by individual components. With the advancement of computer technology, agent-based modeling has emerged as an innovative technique to model the complexities of systems biology. In this work, the authors describe SPARK (Simple Platform for Agent-based Representation of Knowledge), a framework for agent-based modeling specificall

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Majumdar, S., S. Shukla, and A. Maiti. "OPEN AGENT BASED RUNOFF AND EROSION SIMULATION (OARES): A GENERIC CROSS PLATFORM TOOL FOR SPATIO-TEMPORAL WATERSHED MONITORING USING CLIMATE FORECAST SYSTEM REANALYSIS WEATHER DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 125–32. http://dx.doi.org/10.5194/isprs-annals-iv-4-125-2018.

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<p><strong>Abstract.</strong> The aim of this study is to explore the applicability of Agent Based Modelling (ABM) for the simulation of rainfall runoff and soil erosion used in a watershed monitoring activity. The study utilizes Landsat 8 imagery for Land Use Land Cover (LULC) map generation, ASTER DEM for obtaining elevation information and Climate Forecast System Reanalysis (CFSR) 36 year weather data of Asan watershed, Uttarakhand, India. In the proposed model, four major agents (raindrops, soil, elevation and water amount) have been defined for estimating the soil erosio

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Samaher, Al-Janabi, Alkaim Ayad, and Rahem Ahmed. "An alternative technique to reduce time, cost and human effort during natural or manufactured disasters." IAES International Journal of Robotics and Automation (IJRA) 11, no. 1 (2022): 10–20. https://doi.org/10.11591/ijra.v11i1.pp10-20.

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The world suffers from a very large number of missing persons, ranging from about 250,000 to about one million people for various reasons in recent years. Therefore, the process of finding and tracing the missing persons as a result of a plane crash, fire or explosion in a particular area is a humanitarian and religious and national duty, and is one of the most important issues in our country. So, the idea of using a drone to find missing people was invested. We have designed system that collects real-time data and analyzes in a smart way and utilizes global positioning system (GPS) to locate

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Wan, Shanshan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, and Ying Liu. "Research on disaster information dissemination based on social sensor networks." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155013292210806. http://dx.doi.org/10.1177/15501329221080666.

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Sudden disaster events are usually unpredictable and uncontrollable, and how to achieve efficient and accurate disaster information dissemination is an important topic for society security. At present, social sensor networks which integrate human mobile sensors and traditional physical sensors are widely used in dealing with emergencies. Previous studies mainly focused on the impact of human mobility patterns on social sensor networks. In this article, based on the inherent autonomy property of human individuals, we propose a social sensor information dissemination model, which mainly focuses

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Nie, Xing Xin, Cunrui Bai, and Jingjing Zhang. "Simulation Research on the Effectiveness of a Multiagent Mine Safety Supervision System and Its Verification." Mathematical Problems in Engineering 2019 (December 31, 2019): 1–18. http://dx.doi.org/10.1155/2019/8457124.

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A Computable Mine Safety Supervision (CMSS) model is constructed based on agent-based modeling and simulation (ABMS) technology and the conservation of resources (COR). This model aims to solve the mining safety problems involved with illegal mining operations and burnout among mining supervisors, in China. The model includes several types of agents: supervision agents, decision support agents, functional coordination agents, and miner agents, and it uses the Netlogo simulation platform to simulate the influence of reward and punishment on agent behavior. The simulation determines the decision

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Meskini, Fatima Zahra, and Rajae Aboulaich. "Insurance Based on Waqf and Blockchain Technology: A Strong Social Impact & Efficiency." WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 21 (March 8, 2024): 741–52. http://dx.doi.org/10.37394/23207.2024.21.62.

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We surveyed to measure the satisfaction of policyholders in Morocco, and the results clearly show that the majority of customers do not appreciate the current services. They suffer from the ambiguity of contracts, and delays in reimbursement and do not feel the real impact of insurance in society. To solve this problem, we propose an innovative insurance based on blockchain and waqf. We suggest in this paper, to use smart contracts to create an efficient and automatic process in the collection of premiums and reimbursement of policyholders. The goal of this paper is to build insurance that ref

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Yang, Liang, Peter Hoffmann, Jürgen Scheffran, Sven Rühe, Jana Fischereit, and Ingenuin Gasser. "An Agent-Based Modeling Framework for Simulating Human Exposure to Environmental Stresses in Urban Areas." Urban Science 2, no. 2 (2018): 36. http://dx.doi.org/10.3390/urbansci2020036.

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Several approaches have been used to assess potential human exposure to environmental stresses and achieve optimal results under various conditions, such as for example, for different scales, groups of people, or points in time. A thorough literature review in this paper identifies the research gap regarding modeling approaches for assessing human exposure to environment stressors, and it indicates that microsimulation tools are becoming increasingly important in human exposure assessments of urban environments, in which each person is simulated individually and continuously. The paper further

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He, Zhengqi, Dechun Huang, Junmin Fang, and Bo Wang. "Stakeholder Conflict Amplification of Large-Scale Engineering Projects in China: An Evolutionary Game Model on Complex Networks." Complexity 2020 (August 5, 2020): 1–17. http://dx.doi.org/10.1155/2020/9243427.

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Large-scale engineering projects make tremendous contributions to China’s social and economic development; meanwhile, due to the diversity of stakeholders, the dispersion of time and space, and the complexity of information dissemination, large-scale engineering projects are easy to cause conflicts among stakeholders that affect social stability. The previous studies on stakeholder conflicts of large-scale engineering projects mainly focused on the game model among stakeholders, without considering the influence of stakeholders’ interaction complex networks formed by social relations on the co

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Fu, Hanliang, Hanyu Zhang, Mengjie Zhang, and Caixia Hou. "Modeling and Dynamic Simulation of the Public’s Intention to Reuse Recycled Water Based on Eye Movement Data." Water 15, no. 1 (2022): 114. http://dx.doi.org/10.3390/w15010114.

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The public’s rejection of recycled water has seriously hindered the promotion of recycled water. Individual intention and decision-making behavior will be affected by group decision-making behavior. To clarify the interaction mechanism of the public’s intention to reuse recycled water from the perspective of group decision-making, this study used an eye-movement experiment with a recycled water consumption scenario simulation to obtain the influencing factors and data related to purchase decisions and used the ABM (agent-based modeling) method to simulate the interaction effects of the group’s

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Li, Mengkun, Chen Yuan, Kejin Li, Minzhong Gao, Yuan Zhang, and Huiying Lv. "Knowledge Management Model for Urban Flood Emergency Response Based on Multimodal Knowledge Graphs." Water 16, no. 12 (2024): 1676. http://dx.doi.org/10.3390/w16121676.

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Recently, frequent flood disasters in China have seriously threatened economic development and public safety. This paper addresses the need for a dynamic urban flood emergency knowledge management system in emergency management departments and the lack of systematic knowledge among emergency managers regarding urban flood control. A multimodal knowledge graph-based urban flood emergency knowledge management model was constructed to enhance the decision-making capabilities of emergency management departments, improve the efficiency of public emergency evacuation, and reduce losses from urban fl

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Riaz, Faisal, and Muaz A. Niazi. "Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles." SIMULATION 94, no. 11 (2017): 957–77. http://dx.doi.org/10.1177/0037549717742203.

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Amongst collisions, rear-end collisions are the deadliest. Several rear-end collision avoidance solutions have been proposed recently in the literature. A key problem with existing solutions is their dependence on precise mathematical models. However, real world driving is influenced by a number of nonlinear factors. These include road surface conditions, driver reaction time, pedestrian flow, and vehicle dynamics. These factors involve so many different variations that precise mathematical solutions are hard to obtain, if not impossible. This problem with precise control-based rear-end collis

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Sproull, PhD, Mary, Terri Rebmann, PhD, Austin Turner, MS, et al. "Computational modeling of first responders’ willingness to accept radiation exposure during radiological or nuclear events." American Journal of Disaster Medicine 17, no. 2 (2022): 101–15. http://dx.doi.org/10.5055/ajdm.2022.0424.

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Since the events of 9/11, a concerted interagency effort has been undertaken to create comprehensive emergency planning and preparedness strategies for the management of a radiological or nuclear event in the US. These planning guides include protective action guidelines, medical countermeasure recommendations, and systems for diagnosing and triaging radiation injury. Yet, key areas such as perception of risk from radiation exposure by first responders have not been addressed. In this study, we identify the need to model and develop new strategies for medical management of large-scale populati

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Li, Yong, Yu Sun, Chengcheng Zeng, Jinxing Li, Yanping Gao, and Haisheng Li. "Research on the Influencing Factors for the Use of Green Building Materials through the Number Growth of Construction Enterprises Based on Agent-Based Modeling." Sustainability 14, no. 19 (2022): 12773. http://dx.doi.org/10.3390/su141912773.

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As the concept of green building is increasingly promoted worldwide, the use of green building materials has also attracted great attention. In order to improve the utilization rate of green building materials in construction projects, this paper tries to explore influencing factors based on the method of agent-based modeling (ABM), which is well-suited to the study of complex systems and their emergent behaviors. There are two types of agents being set, named, respectively, greedy construction enterprises and selective construction enterprises. Meanwhile, the construction unit’s intention to

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Guevara-Rivera, Edna, Roberto Osorno-Hinojosa, Victor Zaldivar-Carrillo, and Humberto Perez-Ortiz. "Dynamic simulation methodology for implementing circular economy: A new case study." Journal of Industrial Engineering and Management 14, no. 4 (2021): 850. http://dx.doi.org/10.3926/jiem.3609.

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Purpose: Circular economy (CE) principles have evolved in response to natural resource depletion as a set of guidelines for eliminating the linear take-use-dispose model of product consumption. The consequences of shifting from a linear to a circular supply chain are difficult to visualize in the long term. This study aims to design a methodology for building a simulation model to implement CE strategies in any small and medium-sized enterprise SME to prove policies before implementing them in the real world. This paper applied the methodology in a biological cycle case study: a confectionery

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Cotfas, Liviu-Adrian, Camelia Delcea, R. John Milne, and Mostafa Salari. "Evaluating Classical Airplane Boarding Methods Considering COVID-19 Flying Restrictions." Symmetry 12, no. 7 (2020): 1087. http://dx.doi.org/10.3390/sym12071087.

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The novel coronavirus (SARS-CoV-2) has imposed the need for a series of social distancing restrictions worldwide to mitigate the scourge of the COVID-19 pandemic. This applies to many domains, including airplane boarding and seat assignments. As airlines are considering their passengers’ safety during the pandemic, boarding methods should be evaluated both in terms of social distancing norms and the resulting efficiency for the airlines. The present paper analyzes the impact of a series of restrictions that have been imposed or mooted worldwide on the boarding methods used by the airlines, fea

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Roach, A., I. Scott, G. Macfarlane, G. T. Jones, and A. Macgregor. "OP0284 AN AGENT-BASED SIMULATION OF THE EFFECTS OF VARYING TIME TO TREATMENT WITH BIOLOGICAL AGENTS ON PATIENT HEALTH AND COST IN AXIAL SPONDYLOARTHRITIS USING NATIONAL REGISTER DATA." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 177.1–177. http://dx.doi.org/10.1136/annrheumdis-2020-eular.1507.

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Background:Evaluating the long-term impacts of healthcare policies on patient’s health and treatment costs for people with axial spondyloarthritis (axSpA) is challenging due to its chronic nature, and the variation in individual patient journeys post-diagnosis. Agent-based simulations are a novel approach to interrogating this complexity, and allow the consequences of different policy scenarios on outcomes to be explored.Objectives:Develop and validate an agent-based simulation of the UK axial spondyloarthritis healthcare system, using real-world data.Interrogate the effects of earlier biologi

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