A Reactive Agent-Based Solving Model : Application to Localization and Tracking
Identifieur interne : 005268 ( Main/Exploration ); précédent : 005267; suivant : 005269A Reactive Agent-Based Solving Model : Application to Localization and Tracking
Auteurs : Vincent Chevrier [France] ; Franck Gechter [France] ; François Charpillet [France]Source :
- ACM Transactions on Autonomous and Adaptive Systems [ 1556-4665 ] ; 2006.
Abstract
The topic of this work is the problem solving issue using simple interacting entities. The main difficulty of such a method stems from the paradox between the complexity of the problem, on one side, and the conceptual and functional simplicity of the entities on the other side. In order to overcome this paradox, we propose a method based on a reactive multi-agent system. This solving principle points out the importance of the interaction, and their integration in the agents' environment. As for the use of such a system to solve a real problem, the environment plays a key role. First, it represents the problem to solve on both topological and dynamical points of view. Second, it takes action into the solving process by determining the collective evolution of the agents thanks to the implementation of a system's Physics. In this paper, we describe the solving model we propose and its validation through experimental test performed both on simulation and with real targets.
Url:
Affiliations:
- France
- Franche-Comté, Grand Est, Lorraine (région)
- Belfort, Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine, Université de technologie de Belfort-Montbéliard
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Le document en format XML
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type="datePub">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The topic of this work is the problem solving issue using simple interacting entities. The main difficulty of such a method stems from the paradox between the complexity of the problem, on one side, and the conceptual and functional simplicity of the entities on the other side. In order to overcome this paradox, we propose a method based on a reactive multi-agent system. This solving principle points out the importance of the interaction, and their integration in the agents' environment. As for the use of such a system to solve a real problem, the environment plays a key role. First, it represents the problem to solve on both topological and dynamical points of view. Second, it takes action into the solving process by determining the collective evolution of the agents thanks to the implementation of a system's Physics. In this paper, we describe the solving model we propose and its validation through experimental test performed both on simulation and with real targets.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Franche-Comté</li><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Belfort</li><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li><li>Université de technologie de Belfort-Montbéliard</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Chevrier, Vincent" sort="Chevrier, Vincent" uniqKey="Chevrier V" first="Vincent" last="Chevrier">Vincent Chevrier</name></region><name sortKey="Charpillet, Francois" sort="Charpillet, Francois" uniqKey="Charpillet F" first="François" last="Charpillet">François Charpillet</name><name sortKey="Gechter, Franck" sort="Gechter, Franck" uniqKey="Gechter F" first="Franck" last="Gechter">Franck Gechter</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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