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Parallel, Distributed and Multiagent Production Systems [electronic resource] / by Toru Ishida.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence ; 878Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1994Description: XX, 172 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540490470
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TJ210.2-211.495
Online resources:
Contents:
Production system performance -- Parallel production systems -- Distributed production systems -- Multiagent production systems -- Meta-level control of multiagent systems.
In: Springer eBooksSummary: This monograph coherently presents a series of research results on concurrent production systems recently contributed by the author and several co-authors. Before going into the details of concurrent production systems the performance of a single system is discussed. Based on these considerations it is explained how to estimate the efficiency of production systems programs and how to automatically determine efficient join structures. Parallel systems, including algorithms for parallel rule firings, distributed systems under distributed control, and particularly multiagent production systems and the related control issues are investigated. Finally a meta-level control architecture is applied to the construction of the multiagent system CoCo for public telecommunication network control.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK6647

Production system performance -- Parallel production systems -- Distributed production systems -- Multiagent production systems -- Meta-level control of multiagent systems.

This monograph coherently presents a series of research results on concurrent production systems recently contributed by the author and several co-authors. Before going into the details of concurrent production systems the performance of a single system is discussed. Based on these considerations it is explained how to estimate the efficiency of production systems programs and how to automatically determine efficient join structures. Parallel systems, including algorithms for parallel rule firings, distributed systems under distributed control, and particularly multiagent production systems and the related control issues are investigated. Finally a meta-level control architecture is applied to the construction of the multiagent system CoCo for public telecommunication network control.

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The Institute of Mathematical Sciences, Chennai, India