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Design Patterns pour les environnements dans les simulations multi-agents

Abstract : Environment, usually regarded as one of the key concepts of MAS especially in simulation, is however rarely specified in a precise or even explicit way, since its implementation is assumed obvious or given. On the contrary, we argue that the way of modeling space and connections between agents in a simulation, allows only a few efficient implementation solutions. We aim at formalizing the fundamental purposes of the environment, i.e. helping the agents to find their neighbors, and providing them with information. Thus, the search for a balance between modeling issues on the one hand (environment topology, nature of the information) and the operational priorities on the other hand (execution efficiency, relevance of knowledge representation), outlines four environment patterns. Through this unifying approach, the usual, monolithical and sometimes complex, "environment" of a multiagent simulation can be modeled and implemented as the combination of severals patterns.
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Contributor : Cristal Equipe Smac <>
Submitted on : Tuesday, June 21, 2016 - 10:37:44 AM
Last modification on : Friday, December 11, 2020 - 6:44:03 PM


  • HAL Id : hal-01334665, version 1


Philippe Mathieu, Sébastien Picault, Yann Secq. Design Patterns pour les environnements dans les simulations multi-agents. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, Des modèles théoriques aux applications multi-agents, 30 (1-2), pp.133-158. ⟨hal-01334665⟩



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