Abstract
In this paper, a coordination technique is described for fully cooperative learning based multiagent systems, based on the Collective Intelligence work by Wolpert et al. Our work focuses on a practical implementation of these approaches within a FIPA compliant agent system, using the FIPA-OS agent development toolkit. The functionality of this system is illustrated with a simple buyer/seller agent application, where it is shown that the buyer agents are capable of self-organising behaviour in order to maximise their contribution to the global utility of the system.
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© 2002 Springer-Verlag Berlin Heidelberg
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Lynden, S., Rana, O.F. (2002). Coordinating Learning Agents via Utility Assignment. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_36
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DOI: https://doi.org/10.1007/3-540-45675-9_36
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