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  • Gebundenes Buch

Distributed artificial intelligence (DAI) has grown rapidly in recent years and continues to stimulate widespread research activity. Until now, however, no book has provided a comprehensive, unified treatment of DAI-forcing engineers, researchers, and students to comb the professional literature in search of pertinent information. Foundations of Distributed Artificial Intelligence fills that gap. This up-to-date collection of contributions from around the globe examines theoretical principles and practical applications, combines a broad view of the field with detailed examinations of specific…mehr

Produktbeschreibung
Distributed artificial intelligence (DAI) has grown rapidly in recent years and continues to stimulate widespread research activity. Until now, however, no book has provided a comprehensive, unified treatment of DAI-forcing engineers, researchers, and students to comb the professional literature in search of pertinent information. Foundations of Distributed Artificial Intelligence fills that gap. This up-to-date collection of contributions from around the globe examines theoretical principles and practical applications, combines a broad view of the field with detailed examinations of specific research topics, and offers superb coverage at both introductory and advanced levels. The presentation is divided into four parts. Section one covers the fundamentals and necessary background material upon which the second section builds its discussion of communication, coordination, planning, and agency. The third part of the book focuses on the specifics of systems, testbeds, and software environments used in many industrial and practical applications-including Archon, Imagine, CooperA, AGenDA, T MS, and Agent Factory. Finally, the book devotes an entire segment to related areas of scientific inquiry, from philosophy and the social sciences to interface design issues for DAI systems. Throughout, the contributors offer real-world examples from their own research to describe various methods, solutions, and approaches in current practice; and relate the information to the larger body of work available on the subject. For scientists, engineers, and graduate students involved in the study of this discipline, Foundations of Distributed Artificial Intelligence serves as an excellent introductory text, an extremely useful guide to current knowledge, and a bountiful source of ideas for further research.
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Autorenporträt
About the editors G. M. P. O'HARE is a lecturer in the Department of Computation at UMIST, Manchester, England. N. R. JENNINGS is a reader in the Department of Electronic Engineering at Queen Mary & Westfield College, University of London, where he heads the Distributed AI Unit. He is an internationally recognized authority on the design and implementation of multi-agent systems--having developed and deployed systems in a wide range of industrial and commercial environments. He has also made significant contributions to the theory of DAI systems--devising new models of cooperation and coordination.