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Extending learning to multiple agents: Issues and a model for multi-agent machine learning (MA-ML)

  • Sati S. Sian
Part 7: Multi-agents
Part of the Lecture Notes in Computer Science book series (LNCS, volume 482)

Abstract

Many real world situations are currently being modelled as a set of cooperating intelligent agents. Trying to introduce learning into such a system requires dealing with the existence of multiple autonomous agents. The inherent distribution means that effective learning has to be based on a cooperative framework in which each agent contributes its part. In this paper we look at the issues in multi-agent machine learning and examine what effect the presence of multiple agents has on current learning methodologies. We describe a model for cooperative learning based on structured dialogue between the agents. MALE is an implementation of this model and we describe some results from it.

Keywords

Multiple Agents Distributed Learning Support Combination 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Sati S. Sian
    • 1
  1. 1.Dept. of ComputingImperial CollegeLondon

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