Code: 04494813
Quotient Space Based Problem Solving
by Ling Zhang, Bo Zhang
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 fusin ... more
- Language:
English - Binding: Hardback
- Number of pages: 396
Publisher: Elsevier Books, 2014
- More about this
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Book 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. It explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing. It describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence. It provides many applications and examples in the engineering and computer science area. It includes complete coverage of planning, heuristic search and coverage of strictly mathematical models.
Book details
Book category Knihy po anglicky Computing & information technology Computer science Artificial intelligence
104.28 €
- Full title: Quotient Space Based Problem Solving
- Subtitle: A Theoretical Foundation of Granular Computing
- Author: Ling Zhang, Bo Zhang
- Language: English
- Binding: Hardback
- Number of pages: 396
- EAN: 9780124103870
- ISBN: 0124103871
- ID: 04494813
- Publisher: Elsevier Books
- Weight: 970 g
- Dimensions: 241 × 186 × 21 mm
- Date of publishing: 13. February 2014
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