Impact des dimensions spatiale et temporelle dans la modélisation d'un phénomène collectif de type free-riding
Identifieur interne : 000116 ( PascalFrancis/Checkpoint ); précédent : 000115; suivant : 000117Impact des dimensions spatiale et temporelle dans la modélisation d'un phénomène collectif de type free-riding
Auteurs : Tomas Navarrete Gutierrez [France] ; Julien Siebert [France] ; Laurent Ciarletta [France] ; Vincent Chevrier [France]Source :
- Revue d'intelligence artificielle [ 0992-499X ] ; 2011.
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Abstract
We present a comparison of five different models. These models are built upon the same individual behavior hypothesis of a collective phenomenon present in peer-to-peer fle exchange networks: "free-riding". We study a global analytical model and four multi-agent models. Multi-agent models include the space and time dimensions rarely seen in the literature discussing aggregated models of the collective phenomenon in question. We discuss the a priori and the experimental conditions under which the models are equivalent. We demonstrate that one individual decision algorithm can lead to contradictory information.
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