Publication - The Use of Meta-Level Information in Learning Situation Specific Coordination

Authors: Nagendra Prasad, M.V and Lesser, V.R.
Title: The Use of Meta-Level Information in Learning Situation Specific Coordination
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.
Keywords: Coordination, Learning
Publication: Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI’97)
Publisher: AAAI Press
Date: 1997
Sources: PS: /Documents/nagendra_metalearn.ps
PDF: /Documents/nagendra_metalearn.pdf
Reference: Nagendra Prasad, M.V and Lesser, V.R.. The Use of Meta-Level Information in Learning Situation Specific Coordination. Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI’97), AAAI Press. 1997.
bibtex:
@article{Prasad-108,
  author    = "M.V Nagendra Prasad and V.R. Lesser",
  title     = "{The Use of Meta-Level Information in Learning
               Situation Specific Coordination}",
  journal   = "Proceedings of the Fifteenth International Joint
               Conference on Artificial Intelligence (IJCAI’97)",
  publisher = "AAAI Press",
  year      = "1997",
  url       = "http://mas.cs.umass.edu/paper/108",
}