Abstract
In a multi-agent system, agents need to identify their relationships in order to coordinate their actions. Actually, coordination is the most challenging issue in multi-agent design. Very often, the definition of agents’ relationships depends on the properties of the tasks they are able to perform. Knowing its task, an agent is able to build a dependence network that helps identify other agents with whom to interact and cooperate. An agent can also fuse branches in its dependence network in order to derive dependence relations between other agents. The fusion of dependence relations is a powerful tool that could be used by agents to coordinate their tasks and enhance the whole system performance.
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References
Castelfranchi, C., Miceli, M., Cesta, A.: Dependence relations among autonomous agents. In: Werner, E., Demazeau, Y. (eds.) Decentralized AI 3, pp. 215–227. Elsevier, Amsterdam (1992)
Jennings, N.R.: Coordination Techniques for Distributed Artificial Intelligence. In: O’Hare, G.M.P., Jennings, N.R. (eds.) Foundations of Distributed Artificial, John Wiley and Sons, Chichester (1996)
Allouche, M.K.: Une société d’agents temporels pour la supervision de systèmes industriels. Ph.D. Thesis, Ecole Nationale Supérieure des Mines de St-Etienne, St-Etienne, France (1998)
Allouche, M., Boissier, O., Sayettat, C.: Temporal Social Reasoning in Dynamic Multi-Agent Systems. In: ICMAS 2000, Boston, MA, pp. 23–30 (2000)
Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26, 832–843 (1983)
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Allouche, M.K., Bossé, É. (2007). Fusion of Dependence Networks in Multi-agent Systems - Application to Support Net-Enabled Littoral Surveillance . In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds) Autonomous Intelligent Systems: Multi-Agents and Data Mining. AIS-ADM 2007. Lecture Notes in Computer Science(), vol 4476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72839-9_17
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DOI: https://doi.org/10.1007/978-3-540-72839-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72838-2
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