Experiencing Self-adaptive MAS for Real-Time Decision Support Systems
Hydrological phenomena are often very dynamic and depend on numerous criteria. The STAFF software is an adaptive model for flood forecast based on self-organizing multiagent systems. It is operational since 2002 in the Midi-Pyrenees region in France. The aim of this paper is to show the relevance of our approach to model complex natural systems by focusing on the results, architecture and self-organization mechanisms of a real world application. The main idea is to let the artificial system self-adapt towards the adequate model by confronting it to real data, thus ensuring that the resulting model represents reality. Moreover, since the MAS is constantly adapting, we obtain a dynamic and autonomous system that can take into account any future dynamics (strong perturbations, sensor breakdowns...) and able to provide decision-makers with usable information anytime.
KeywordsCooperative agents self-organisation emergence adaptation flood forecast
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- 1.Axelrod, R.: The Evolution of Cooperation. Basic Books, New York (1984)Google Scholar
- 3.Dupouyet, J.P., Vidal, J.J.: La modernisation de l’annonce et de la prévision des crues dans le bassin de la Garonne. SHMA – Direction Régionale de l’Environnement Midi-Pyrénées (1991)Google Scholar
- 4.Georgé, J.-P., Gleizes, M.-P., Glize, P., Régis, C.: Real-time Simulation for Flood Forecast: an Adaptive Multi-Agent System STAFF. In: Proceedings of the AISB 2003 symposium on Adaptive Agents and Multi-Agent Systems, University of Wales, Aberystwyth, April 7-11 (2003)Google Scholar
- 5.Georgé, J.-P., Edmonds, B., Glize, P.: Making Self-Organising Adaptive Multiagent Systems Work. In: Bergenti, F., Gleizes, M.-P., Zombonelli, F. (eds.) Methodologies and Software Engineering for Agent Systems, pp. 319–338. Kluwer, Dordrecht (2004)Google Scholar
- 6.Gleizes, M.P., Camps, V., Glize, P.: A theory of emergent computation based on cooperative self-organization for adaptive artificial systems. In: Fourth European Congress on Systemic (1999), http://www.irit.fr/SMAC
- 8.Servat, D., Perrier, E., Treuil, J.-P., Drogoul, A.: When agents emerge from agents: Introducing multi-scale viewpoints in multi-agent simulations. In: Sichman, J.S., Conte, R., Gilbert, N. (eds.) MABS 1998. LNCS (LNAI), vol. 1534, pp. 183–198. Springer, Heidelberg (1998)Google Scholar