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Coordinating Learning Agents via Utility Assignment

  • Steven Lynden
  • Omer F. Rana
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

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.

Keywords

Utility Function Multiagent System Collective Intelligence Global Utility Leaf System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Steven Lynden
    • 1
  • Omer F. Rana
    • 1
  1. 1.Department of Computer ScienceUniversity of WalesCardiffUK

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