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

Identifieur interne : 000465 ( Main/Exploration ); précédent : 000464; suivant : 000466

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

Auteurs : Benjamin Camus [France] ; Christine Bourjot [France] ; Vincent Chevrier [France]

Source :

RBID : Hal:hal-01256304

English descriptors

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.

Url:
DOI: 10.18564/jasss.2645


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<idno type="DOI">10.18564/jasss.2645</idno>
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<title level="j">Journal of Artificial Societies and Social Simulation</title>
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<term> Collective Motion</term>
<term> Multi-Agent</term>
<term> Multi-Model</term>
<term>Multi-Level</term>
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<front>
<div type="abstract" xml:lang="en">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.</div>
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