Skip to main content
The Use of Meta-level Information in Learning Situation-Specific Coordination
Computer Science Department Faculty Publication Series
  • M. V. Nagendra Prasad, University of Massachusetts - Amherst
  • Victor R. Lesser, University of Massachusetts - Amherst
Publication Date
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.
This paper was harvested from CiteSeer
Citation Information
M. V. Nagendra Prasad and Victor R. Lesser. "The Use of Meta-level Information in Learning Situation-Specific Coordination" (1997)
Available at: