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Coordinating Learning Agents via Utility Assignment

Lookup NU author(s): Steve Lynden

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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.

Publication metadata

Author(s): Lynden SJ, Rana OF

Editor(s): Yin, H., Allinson, N. and Freeman, R. Keane, J., Hubbard, S.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 3rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL)

Year of Conference: 2002

Pages: 219-224

ISSN: 0302-9743

Publisher: Springer

URL: http://dx.doi.org/10.1007/3-540-45675-9_36

DOI: 10.1007/3-540-45675-9_36

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783540440253

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