Self-adaptive air-sea simulation based on multi-sensors agentification
RAIRO - Operations Research - Recherche Opérationnelle, Tome 44 (2010) no. 4, pp. 307-322.

Combat Management System training uses simulation of an overall tactical situation. This involves the real-time management of numerous and diverse entities to keep the simulation scenario consistent in a highly dynamic environment. To address this difficult problem, we propose an adaptive multi-agent system in which each entity is considered as a smart sensor/effector mobile. The autonomy and the dynamic behaviour offered to each entity leads the simulation to self-adapt to inevitable disturbances of the user. According to the cooperation paradigm, this approach also allows the mobiles to highlights a coherent global behaviour with mutual helping. Finally, the system shows the relevance of the Emergence Technologies in the elaboration of a new generation of sensors. This software is currently under development in GATES, a project of the DCNS company.

DOI : 10.1051/ro/2010019
Classification : 68U20, 91A12
Keywords: emergence technologies, multi-agent systems, smart sensors, self-adaptation, cooperation, real-time simulation
Mots-clés : technologies émergentes, système, multi-agent, capteurs intelligents, auto-adaptation, coopération, simulation en temps réel 
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     title = {Self-adaptive air-sea simulation based on multi-sensors agentification},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {307--322},
     publisher = {EDP-Sciences},
     volume = {44},
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Peyruqueou, S.; Capera, D.; Médina, T.; De Murcia, C. Self-adaptive air-sea simulation based on multi-sensors agentification. RAIRO - Operations Research - Recherche Opérationnelle, Tome 44 (2010) no. 4, pp. 307-322. doi : 10.1051/ro/2010019. http://www.numdam.org/articles/10.1051/ro/2010019/

[1] R.M. Axelrod, The evolution of cooperation, Basic Books, New York (1984).

[2] B. Bauer, J.P. Müller and J. Odell, Agent uml: a formalism for specifying multiagent software systems, in Proc. of the 1st international workshop, AOSE 2000 on Agent-oriented software engineering, edited by P. Ciancarini and M. Wooldridge, Secaucus, NJ, USA, Springer-Verlag, New York, Inc. (2001), pp. 91-103. | Zbl

[3] C. Bernon, M.-P. Gleizes, S. Peyruqueou and G. Picard, ADELFE, a methodology for adaptive multi-agent systems engineering, edited by P. Petta, R. Tolksdorf, F. Zambonelli and S. Ossowski, in Proc. of the International Workshop on Engineering Societies in the Agents World (ESAW), Madrid, Spain, September 16-17, 2003, number 2577 in LNAI, http://www.springerlink.com/ Springer-Verlag (2003), pp. 156-169. | Zbl

[4] J.-P. Georgé, B. Edmonds and P. Glize, Making self-organising adaptive multiagent systems work, in Methodologies and Software Engineering for Agent Systems, edited by F. Bergenti, M.-P. Gleizes and F. Zombonelli, Kluwer, http://www.wkap.nl/ (2004), pp. 319-338.

[5] J.-P. Georgé, M.-P. Gleizes, P. Glize and C. Régis, Real-time simulation for flood forecast: an adaptive multi-agent system STAFF, in Proc. of the Symposium on Adaptive Agents and Multi-Agent Systems (AISB), University of Wales, Aberystwyth, April 07-11, 2003, http://www.aisb.org.uk, Society for the Study of Artificial Intelligence and the Simulation of Behaviour (2003), pp. 109-114.

[6] M.-P. Gleizes, V. Camps, J.-P. Georgé and D. Capera, Engineering systems which generate emergent functionalities, edited by D. Weyns, S. Brueckner and Y. Demazeau, in Proc. of the Engineering Environment-Mediated Multiagent Systems - Satellite Conference held at The European Conference on Complex Systems (EEMMAS), Dresden, Germany, october 01-05, 2007, number 5049 in Lecture Notes in Artificial Intelligence (LNAI), http://www.springerlink.com/ Springer-Verlag (2008).

[7] M.-P. Gleizes, V. Camps and P. Glize, A theory of emergent computation based on cooperative self-organization for adaptive artificial systems, in Proc. of the 4th European Congress of Systems Science. Valencia Spain, September 20-24, 1999 (1999).

[8] F. Heylighen, Evolution, selfishness and cooperation; selfish memes and the evolution of cooperation. J. Ideas 2 (1992) 70-84.

[9] B.A. Huberman, The performance of cooperative processes (1991), pp. 38-47.

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