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

Benjamin Camus 1 Christine Bourjot 1 Vincent Chevrier 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
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Submitted on : Thursday, January 14, 2016 - 3:58:15 PM
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Benjamin Camus, Christine Bourjot, Vincent Chevrier. Considering a Multi-Level Model as a Society of Interacting Models: Application to a Collective Motion Example. Journal of Artificial Societies and Social Simulation, SimSoc Consortium, 2015, ⟨10.18564/jasss.2645⟩. ⟨hal-01256304⟩



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