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Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing

Quotient Space Based Problem Solving by Ling Zhang
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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
    Elsevier Science; January 2014
    396 pages; ISBN 9780124104433
    Read online, or download in secure EPUB or secure PDF format
    Title: Quotient Space Based Problem Solving
    Author: Ling Zhang; Bo Zhang