Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing - Tapa dura

"The entire book is devoted to formalize and automate...a theory of granular computing, which is essentially based on quotient spaces." --Zentralblatt MATH

"... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI)." --Computing Reviews, November 2014

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