Publication - Analyzing Myopic Approaches for Multi-Agent Communication

Authors: Becker, Raphen; Carlin, Alan; Lesser, Victor; Zilberstein, Shlomo
Title: Analyzing Myopic Approaches for Multi-Agent Communication
Abstract: Choosing when to communicate is a fundamental problem in multi-agent systems. This problem becomes particularly challenging when communication is constrained and each agent has diff erent partial information about the overall situation. We take a decision-theoretic approach to this problem that balances the benefits of communication against the costs. Although computing the exact value of communication is intractable, it can be estimated using a standard myopic assumption---that communication is only possible at the present time. We examine specifi c situations in which this assumption leads to poor performance and demonstrate an alternative approach that relaxes the assumption and improves performance. The results provide an effective method for value-driven communication policies in multi-agent systems.
Keywords: Communication, MDP, Multi-Agent Systems, Planning
Publication: Computational Intelligence, Vol: 25, Num: 1, pp. 31 - 50
Publisher: Blackwell Publishers
Date: 2009
Sources: PDF: /Documents/BCLZci09.pdf
Reference: Becker, Raphen; Carlin, Alan; Lesser, Victor; Zilberstein, Shlomo. Analyzing Myopic Approaches for Multi-Agent Communication. Computational Intelligence, Volume 25, Number 1, Blackwell Publishers, pp. 31-50. 2009.
bibtex:
@article{Becker-462,
  author    = "Raphen Becker and Alan Carlin and Victor Lesser
               and Shlomo Zilberstein",
  title     = "{Analyzing Myopic Approaches for Multi-Agent
               Communication}",
  journal   = "Computational Intelligence",
  volume    = "25",
  number    = "1",
  publisher = "Blackwell Publishers",
  pages     = "31-50",
  year      = "2009",
  url       = "http://mas.cs.umass.edu/paper/462",
}