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A Theoretical Agent‐Based Model to simulate an Artificial Social Evolution

Bibliographic Data

ID7538320
AuthorsMohamed Nemiche (0000-0002-2249-7308, Faculty of Science Ibn Zohr University Agadir Morocco, corresponding author), Ahmed M’hamdi (Université Ibn Zohr), Ahmed M'hamdi (Faculty of Science Ibn Zohr University Agadir Morocco), Mohamed Chakraoui (0000-0002-3092-3696, Cadi Ayyad University Marrakech Morocco), Vicent Cavero (Department of Computer Science University of Valencia Valencia Spain), Rafael Pla López (Department of Applied Mathematics University of Valencia Valencia Spain)
Year2013
Volume30
Issue6
Pages693-702
Publication date2013-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSystems Research and Behavioral Science (JOURNAL)
Journal identifiersISSN: 1092-7026 • E-ISSN: 1099-1743
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sres.2238
OpenAlexW1559821911
LanguageEN
Citations received3
References cited6

Agent‐based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to build a theoretical agent‐based model to simulate the social evolution of a set of agents/artificial societies. In this model, each agent (artificial society) has an available number of social behaviours that compete among each other. The agent/agent interactions are carried out by their social otherwise, the agent/environment interactions are expressed through the consumption of ecological resources in repression and satisfaction by social behaviours of the agent. In this work, we will present the structure and the formulation of our model. This model can capture emergent social phenomena such as globalization and polarization, and it can help to understand the social migration process. Copyright © 2013 John Wiley & Sons, Ltd

Agent-based model · Agent-based social simulation · Management science · Multi-agent system · Process (computing · Set (abstract data type · Social Simulation · Computer Science · Engineering · Evacuation and Crowd Dynamics · Evolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence · Artificial Intelligence

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Unique citing works3
Citations per year0.33
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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