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Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
By
Bo Zhang and
Ling Zhang
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Bibliographic Detail
Publisher
Morgan Kaufmann Pub
Publication date
February 25, 2014
Pages
382
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780124103870
ISBN-10
0124103871
Dimensions
1 by 7.50 by 9.25 in.
Weight
2.25 lbs.
Original list price
$130.00
Summaries and Reviews
Amazon.com description: Product 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
Editions
Hardcover
The price comparison is for this edition
With Ling Zhang |
from Morgan Kaufmann Pub (February 25, 2014)
9780124103870 | details & prices | 382 pages | 7.50 × 9.25 × 1.00 in. | 2.25 lbs | List price $130.00
About: 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.
About: 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.
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