The Use of Meta-level Information in Learning Situation-Specific Coordination

Authors

M. V. Nagendra Prasad, University of Massachusetts - Amherst
Victor R. Lesser, University of Massachusetts - Amherst

Publication Date

1997

Abstract

Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possibly out-dated views of activities of other agents and uncertainty about the outcomes of interacting non-local tasks. In this paper, we present a learning algorithm that endows agents with the capability to choose the appropriate coordination algorithm from a set of available coordination algorithms based on meta-level information about their problem solving situations. We present empirical results that strongly indicate the effectiveness of the learning algorithm.

Comments

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Recommended Citation

Prasad, M. V. Nagendra and Lesser, Victor R., "The Use of Meta-level Information in Learning Situation-Specific Coordination" (1997). Computer Science Department Faculty Publication Series. 160.
Retrieved from https://scholarworks.umass.edu/cs_faculty_pubs/160