Vidal's library
Title: If multi-agent learning is the answer, what is the question?
Author: Yoav Shoham, Rob Powers, and Trond Grenager
Journal: Journal of Artificial Intelligence
Year: 2006
Abstract: The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelli- gence. We focus on the foundational questions in this interdisciplinary area, and identify several distinct agendas that ought to, we argue, be separated. The goal of this article is to start a discussion in the research community that will result in firmer foundations for the area.

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@Article{shoham06a,
  author =	 {Yoav Shoham and Rob Powers and Trond Grenager},
  title =	 {If multi-agent learning is the answer, what is the
                  question?},
  journal =	 {Journal of Artificial Intelligence},
  year =	 2006,
  note =	 {to appear},
  abstract =	 {The area of learning in multi-agent systems is today
                  one of the most fertile grounds for interaction
                  between game theory and artificial intelli-
                  gence. We focus on the foundational questions in
                  this interdisciplinary area, and identify several
                  distinct agendas that ought to, we argue, be
                  separated. The goal of this article is to start a
                  discussion in the research community that will
                  result in firmer foundations for the area.},
  keywords =     {multiagent learning survey},
  url = 	 {http://jmvidal.cse.sc.edu/library/shoham06a.pdf},
  cluster = 	 {1526981171785474017}
}
Last modified: Wed Mar 9 10:16:33 EST 2011