A framework for distributed problem solving

  • Authors:
  • Reid G. Smith

  • Affiliations:
  • Defence Research Establishment Atlantic, Nova Scotia, Canada

  • Venue:
  • IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1979

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Abstract

The contract net framework for distributed problem solving is discussed. Task distribution is viewed as a mutual selection process, a discussion carried on between a node with a task to be executed and a group of nodes that may be able to execute the task. This leads to the use of a control formalism based on a contract metaphore in which task distribution corresponds to contract negotiation. The three primary components of the framework are described: communication, control, and knowledge organization. The use of the framework is illustrated for a distributed sensing system. We then discuss suitable applications and limitations of the framework.