- 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.
Chapter 2 Hierarchy and Multi-granular Computing
Chapter 3 Information Synthesis in Multi-granular Computing
Chapter 4 Reasoning in Multi-granular Computing
Chapter 5 Automatic Spatial Planning
Chapter 6 Statistical Heuristic Search
Chapter 7 the Expansion of Quotient Space Theory
Addenda A: Some Concepts and Properties of Point Set Topology
Addenda B: Some Concepts and Properties of Integral and Statistical Inference
Professor Ling Zhang is currently with the Department of Computer Science at Anhui University in Hefei, China. His main interests are artificial intelligence, machine learning, neural networks, genetic algorithms and computational intelligence.
Professor Bo Zhang is currently with the Computer Science and Technology Department at Tsinghua University in Beijing, China, He is a Fellow of Chinese Academy of Sciences. His main research interests include artificial intelligence, robotics, intelligent control and pattern recognition. He has published over 150 papers and 3 monographs in these fields.