Agent-based modelling and simulation for the analysis of social patterns
Authored by Samer Hassan, Juan Pavon, Millan Arroyo, Candelaria Sansores
Date Published: 2008-06-01
DOI: 10.1016/j.patrec.2007.06.021
Sponsors:
Dirección General de Universidades e Investigación de la Consejerı´a de Educación de la Comunidad de Madrid (Spain)
Universidad Complutense de Madrid
Spanish Council for Science and Technology
Platforms:
Repast
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Agent-based modelling facilitates the implementation of tools for the analysis of social patterns. This comes from the fact that agent related concepts allow the representation of organizational and behavioural aspects of individuals in a society and their interactions. An agent can characterize all individual with capabilities to perceive and react to events in the environment, taking into account its mental state (beliefs, goals), and to interact with other agents in its social environment. There are already tools to perform agent-based social simulation but these are usually hard to use by social scientists, as they require a good expertise in computer programming. In order to cope with such difficulty, we propose the use of agent-based graphical modelling languages, which can help to specify social systems as multi-agent systems in a more convenient way. This is complemented with transformation tools to be able to analyse and derive emergent social behavioural patterns by using the capabilities of existing simulation platforms. In this way, this framework call facilitate the specification and analysis of complex behavioural patterns that may emerge in social systems. (C) 2007 Elsevier B.V. All rights reserved.
Tags
Agent-based modelling
agent-based simulation
social patterns
Social simulation
behavioural patterns