Considering a Multi-Level Model as a Society of Interacting Models: Application to a Collective Motion Example

Benjamin Camus (), Christine Bourjot () and Vincent Chevrier ()
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Christine Bourjot: http://www.loria.fr/~bourjot/
Vincent Chevrier: http://www.loria.fr/~chevrier/

Journal of Artificial Societies and Social Simulation, 2015, vol. 18, issue 3, 7

Abstract: As they involve relationships between interacting individuals and groups, social systems can be described at different levels of resolution. In a number of modeling cases, only one of these levels is explicitly represented. In order to study phenomena where both individual and collective representations are needed, multi-level modeling is a good approach as it explicitly represents these different levels. We propose to consider a multi-level representation from a multi-modeling point of view. This perspective allows explicitly specifying the level’s relationships and, therefore, to test hypothesis about interaction between individuals and groups in social systems. We define a framework to better specify the concepts used in multi-level modeling and their relationships. This framework is implemented through the AA4MM meta-model, which benefits from a middleware layer. This meta-model uses the multi-agent paradigm to consider a multi-model as a society of interacting models. We extend this meta-model to consider multi-level modeling, and present a proof of concept of a collective motion example, where we show the advantages of this approach for the study of social phenomena.

Keywords: Multi-Level; Multi-Model; Multi-Agent; Collective Motion (search for similar items in EconPapers)
Date: 2015-06-30
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2014-17-2

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