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Agent-Based Semantic Web Service Composition

Bag om Agent-Based Semantic Web Service Composition

Agent-based Semantic Web Service Composition closely examines the various aspects of SWS composition, and explores the concept that a Multi-Agent system can serve as an SWS composition system in which its agents can interact with one another to satisfy a high-level goal. In addition to surveying various proposed multi-agent-based SWS composition models, the book also highlights the cognitive parameter-based semantic web service selection models that can be used in multi-agent-based SWS composition, and outlines a new negotiation agreement-based SWS composition that can outperform existing techniques.Agent-based Semantic Web Service Composition is intended for researchers and practitioners as a reference guide for optimizing SWS composition and implementing multi-agent systems. Instructors and other academics working in a related field will also find the book invaluable.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781461446620
  • Indbinding:
  • Paperback
  • Sideantal:
  • 68
  • Udgivet:
  • 1. August 2012
  • Størrelse:
  • 155x5x235 mm.
  • Vægt:
  • 119 g.
Leveringstid: 2-3 uger
Forventet levering: 23. Juli 2024

Beskrivelse af Agent-Based Semantic Web Service Composition

Agent-based Semantic Web Service Composition closely examines the various aspects of SWS composition, and explores the concept that a Multi-Agent system can serve as an SWS composition system in which its agents can interact with one another to satisfy a high-level goal. In addition to surveying various proposed multi-agent-based SWS composition models, the book also highlights the cognitive parameter-based semantic web service selection models that can be used in multi-agent-based SWS composition, and outlines a new negotiation agreement-based SWS composition that can outperform existing techniques.Agent-based Semantic Web Service Composition is intended for researchers and practitioners as a reference guide for optimizing SWS composition and implementing multi-agent systems. Instructors and other academics working in a related field will also find the book invaluable.

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