Abstract
While numerous techniques have been developed by which agents can coordinate over the allocation of scarce resources or the pursuit of interdependent goals, less is understood about how agents discover, in the first place, with whom they should worry about coordinating and about what. We have studied several strategies for making such discoveries, ranging from communicating abstract information to anticipate potential interactions ahead of time, to learning from interactions as they occur to anticipate future interactions. In this paper, we briefly summarize some of the strategies we have been investigating, and opportunities for further exploration.
This article was originally published in the DoD Software Tech News, Volume 5, Number 1, www.dacs.dtic.mil
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References
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© 2002 Springer-Verlag Berlin Heidelberg
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Durfee, E.H. (2002). Strategies for Discovering Coordination Needs in MultiAgent Systems. In: d’Inverno, M., Luck, M., Fisher, M., Preist, C. (eds) Foundations and Applications of Multi-Agent Systems. Lecture Notes in Computer Science(), vol 2403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45634-1_2
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DOI: https://doi.org/10.1007/3-540-45634-1_2
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