Influence of Different Execution Models on Patrolling Ants Behavior : from Agents to Robots

Arnaud Glad 1 Olivier Simonin 1 Olivier Buffet 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Generally, swarm models and algorithms consider synchronous agents, i.e., they act simultaneously. This hypothesis does not fit multi-agent simulators nor robotic systems. In this paper, we consider such issues on a patrolling ant algorithm. We examine how different execution hypotheses influence self-organization capabilities and patrolling performances of this algorithm. We consider the mono and multiagent cases, the synchronism and determinism hypotheses, and the execution of the model with real robots.
Type de document :
Communication dans un congrès
AAMAS'10 9th International Conference on Autonomous Agents and Multiagent Systems, May 2010, Toronto, Canada. ACM, pp.1173-1180, 2010, 3. 〈http://portal.acm.org/ft_gateway.cfm?id=1838190&type=pdf&CFID=2008812&CFTOKEN=25338702〉
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https://hal.inria.fr/inria-00546344
Contributeur : Olivier Simonin <>
Soumis le : mardi 14 décembre 2010 - 10:54:13
Dernière modification le : jeudi 11 janvier 2018 - 06:19:51

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  • HAL Id : inria-00546344, version 1

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Arnaud Glad, Olivier Simonin, Olivier Buffet, François Charpillet. Influence of Different Execution Models on Patrolling Ants Behavior : from Agents to Robots. AAMAS'10 9th International Conference on Autonomous Agents and Multiagent Systems, May 2010, Toronto, Canada. ACM, pp.1173-1180, 2010, 3. 〈http://portal.acm.org/ft_gateway.cfm?id=1838190&type=pdf&CFID=2008812&CFTOKEN=25338702〉. 〈inria-00546344〉

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