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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Coordination of Distributed Problem Solvers

Coordination of Distributed Problem Solvers

Durfee, Edmund H.

Hardcover

Series: The Springer International Engineering and Computer Science, Book 55

General ComputersNetworking

ISBN10: 089838284X
ISBN13: 9780898382846
Publisher: Springer Nature
Published: Aug 31 1988
Pages: 270
Weight: 1.27
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
As artificial intelligence (AI) is applied to more complex problems and a wider set of applications, the ability to take advantage of the computational power of distributed and parallel hardware architectures and to match these architec- tures with the inherent distributed aspects of applications (spatial, functional, or temporal) has become an important research issue. Out of these research concerns, an AI subdiscipline called distributed problem solving has emerged. Distributed problem-solving systems are broadly defined as loosely-coupled, distributed networks of semi-autonomous problem-solving agents that perform sophisticated problem solving and cooperatively interact to solve problems. N odes operate asynchronously and in parallel with limited internode commu- nication. Limited internode communication stems from either inherent band- width limitations of the communication medium or from the high computa- tional cost of packaging and assimilating information to be sent and received among agents. Structuring network problem solving to deal with consequences oflimited communication-the lack of a global view and the possibility that the individual agents may not have all the information necessary to accurately and completely solve their subproblems-is one of the major focuses of distributed problem-solving research. It is this focus that also is one of the important dis- tinguishing characteristics of distributed problem-solving research that sets it apart from previous research in AI.

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