Quotient Space Based Problem Solving
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Quotient Space Based Problem Solving : A Theoretical Foundation of Granular Computing

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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.
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Product details

  • Hardback | 396 pages
  • 188 x 236 x 22mm | 959.99g
  • Morgan Kaufmann Publishers In
  • San Francisco, United States
  • English
  • black & white tables, figures
  • 0124103871
  • 9780124103870

Table of contents

Chapter 1 Problem Representation Chapter 2 Hierarchy and Multi-granular Computing Chapter 3 Information Synthesis in Multi-granular Computing Chapter 4 Reasoning in Multi-granular Computing Chapter 5 Automatic Spatial Planning Chapter 6 Statistical Heuristic Search Chapter 7 the Expansion of Quotient Space Theory Addenda A: Some Concepts and Properties of Point Set Topology Addenda B: Some Concepts and Properties of Integral and Statistical Inference
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Review Text

"The entire book is devoted to formalize and automate...a theory of granular computing, which is essentially based on quotient spaces." -- Zentralblatt MATH

"... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI)." --Computing Reviews, November 2014
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Review quote

"The entire book is devoted to formalize and automate...a theory of granular computing, which is essentially based on quotient spaces." --Zentralblatt MATH "... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI)." --Computing Reviews, November 2014
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About Bo Zhang

Professor Ling Zhang is currently with the Department of Computer Science at Anhui University in Hefei, China. His main interests are artificial intelligence, machine learning, neural networks, genetic algorithms and computational intelligence. Professor Bo Zhang is currently with the Computer Science and Technology Department at Tsinghua University in Beijing, China, He is a Fellow of Chinese Academy of Sciences. His main research interests include artificial intelligence, robotics, intelligent control and pattern recognition. He has published over 150 papers and 3 monographs in these fields.
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