Quotient Space Based Problem Solving A Theoretical Foundation of Granular Computing

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Synopsis

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

Book details

Author:
Ling Zhang, Bo Zhang
ISBN:
9780124104433
Related ISBNs:
9780124103870
Publisher:
Morgan Kaufmann Publishers
Pages:
396
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-11-01
Usage restrictions:
Copyright
Copyright date:
2014
Copyright by:
Elsevier Science & Technology 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction