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Multiple task selection protocol in a distributed problem solving network

  • Tibor Gyires
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 364)

Abstract

In a Distributed Solving Network each node stores only a limited extent of knowledge in its knowledge base. Therefore complex problems are decomposed into subproblems which can already be solved by the nodes. The aim of a problem solving network is to assign the subproblems to nodes which attempt to solve those cooperatively. The notion of Communication Functions is introduced to specify the behavior of cooperative nodes in distributed problem-solving network. These functions are used to specify the Multiple Task Selection Protocol which dynamically selects the most competent group of nodes for solving a problem and improves the problem solving capability of the network by making use of previous experience.

Keywords

intelligent data bases distributed protocols distributed artificial intelligence distributed expert systems negotiation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • Tibor Gyires
    • 1
  1. 1.Department of Computer ScienceUniversity of North Carolina at CharlotteCharlotte

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