Quotient Space Based Problem Solving - A Theoretical Foundation of Granular Computing (Hardcover)

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"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.


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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.

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Product Details

General

Imprint

Morgan Kaufmann Publishers In

Country of origin

United States

Release date

February 2014

Availability

Expected to ship within 12 - 17 working days

First published

2014

Authors

,

Dimensions

235 x 191 x 21mm (L x W x T)

Format

Hardcover

Pages

396

ISBN-13

978-0-12-410387-0

Barcode

9780124103870

Categories

LSN

0-12-410387-1



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