Vidal's library
Title: Distributed Problem Solving and Planning
Author: Edmund H. Durfee
Book Tittle: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Editor: Gerhard Weiss
Pages: 121--164
Publisher: MIT Press, Cambridge, MA
Year: 1999
Abstract: Distributed problem solving is the name applied to a subfield of distributed AI in which the emphasis is on getting agents to work together well to solve problems that require collective effort. Due to an inherent distribution of resources such as knowledge, capability, information, and expertise among the agents, an agent in a distributed problem-solving system is unable to accomplish its own tasks alone, or at least can accomplish its tasks better (more quickly, completely, precisely, or certainly) when working with others.

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@InCollection{durfee99a,
  author =	 {Edmund H. Durfee},
  title =	 {Distributed Problem Solving and Planning},
  googleid =	 {8LabGPmy8vIJ:scholar.google.com/},
  chapter =	 3,
  publisher =	 {{MIT} Press, Cambridge, MA},
  year =	 1999,
  booktitle =	 {Multiagent Systems: A Modern Approach to Distributed
                  Artificial Intelligence},
  editor =	 {Gerhard Weiss},
  pages =	 {121--164},
  abstract =	 {Distributed problem solving is the name applied to a
                  subfield of distributed AI in which the emphasis is
                  on getting agents to work together well to solve
                  problems that require collective effort. Due to an
                  inherent distribution of resources such as
                  knowledge, capability, information, and expertise
                  among the agents, an agent in a distributed
                  problem-solving system is unable to accomplish its
                  own tasks alone, or at least can accomplish its
                  tasks better (more quickly, completely, precisely,
                  or certainly) when working with others.},
  keywords =     {multiagent planning ai},
  url =		 {http://jmvidal.cse.sc.edu/library/durfee99a.pdf},
  cluster = 	 {17506251484471998192}
}
Last modified: Wed Mar 9 10:14:41 EST 2011