Quotient Space Based Problem Solving
A Theoretical Foundation of Granular Computing
By Ling Zhang, Bo Zhang
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: January 2014
Pages: 396

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

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