Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
| By: | Zhang, Ling; Zhang, Bo |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780124103870 |
| eText ISBN: | 9780124104433 |
| Edition: | 0 |
| Format: | Reflowable |
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Table of Contents
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.