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.
Rezensionen / Stimmen
"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
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für Beruf und Forschung
Graduate students, research fellows and academics specializing in artificial intelligence and concerned with computerized problem solving and granular computing.
Maße
Höhe: 235 mm
Breite: 191 mm
ISBN-13
978-0-12-810309-8 (9780128103098)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
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.
Autor*in
Professor, Department of Computer Science at Anhui University in Hefei, China
Professor, Computer Science and Technology Department at Tsinghua University in Beijing, China
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
