Quotient space based problem solving: a theoretical foundation of granular computing
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Bibliographische Detailangaben
1. Verfasser: Zhang, Ling (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Burlington Elsevier Science 2014
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Online-Zugang:Volltext
Beschreibung:Includes bibliographical references and index
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing. Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence. Provides many applications and examples in the engineering and computer science area. Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models
Beschreibung:1 Online-Ressource (397 pages)
ISBN:9780124104433
0124104436
9780124103870

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