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

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