Book description
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
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Chapter 1. Problem Representations
- Chapter 2. Hierarchy and Multi-Granular Computing
- Chapter 3. Information Synthesis in Multi-Granular Computing
- Chapter 4. Reasoning in Multi-Granular Worlds
- 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
- References
- Index
Product information
- Title: Quotient Space Based Problem Solving
- Author(s):
- Release date: January 2014
- Publisher(s): Morgan Kaufmann
- ISBN: 9780124104433
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