Soft Computing Agents: New Trends for Designing Autonomous Systems (Studies in Fuzziness and Soft Computing)

ISBN 10: 3662003503 / ISBN 13: 9783662003503

Verlag: Physica, 2012

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Bibliografische Details

• Titel: Soft Computing Agents: New Trends for Designing Autonomous Systems (Studies in Fuzziness and Soft Computing)
• Verlag: Physica
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 3662003503
• ISBN-13: 9783662003503
• Einband: Softcover
• Zustand: New

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Inhaltsangabe

In the existing literature the intersection of agent technology with soft computing is a very recent and attractive issue. The book is devoted to a unifying perspective of this topic. In contains contributions by well-known authors whose expertise is universally recognized in these crossing areas. Particular emphasis is devoted to advanced research projects involved with Web-related technologies.
Fundamental topics explored in this volume are: - formal theories and logics to represent and handle imprecise communication acts among communities of agents; - soft-computing approaches to define distributed problem-solving techniques to represent and reason about large-scale control systems; - decomposition of a complex system into autonomous or semiautonomous agents through evolutionary models; - enrichment of agent programming paradigm for cooperative soft-computing processing.

Von der hinteren Coverseite

In the existing literature the intersection of agent technology with soft computing is a very recent and attractive issue. The book is devoted to a unifying perspective of this topic. In contains contributions by well-known authors whose expertise is universally recognized in these crossing areas. Particular emphasis is devoted to advanced research projects involved with Web-related technologies.
Fundamental topics explored in this volume are: - formal theories and logics to represent and handle imprecise communications acts among communities of agents; - soft-computing approaches to define distributed problem-solving techniques to represent and reason about large-scale control systems; - decomposition of a complex system into autonomous or semiautonomous agents through evolutionary models; - enrichment of agent programming paradigm for cooperative soft-computing processing.