Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing

Inbunden, Engelska, 2014

1 299 kr

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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

Produktinformation

Utgivningsdatum2014-02-13
Mått191 x 235 x 22 mm
Vikt1 070 g
FormatInbunden
SpråkEngelska
Antal sidor396
FörlagElsevier Science
ISBN9780124103870

Tillhör följande kategorier

Artificiell intelligens inom Data och IT

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.

Chapter 1 Problem RepresentationChapter 2 Hierarchy and Multi-granular ComputingChapter 3 Information Synthesis in Multi-granular ComputingChapter 4 Reasoning in Multi-granular ComputingChapter 5 Automatic Spatial PlanningChapter 6 Statistical Heuristic SearchChapter 7 the Expansion of Quotient Space TheoryAddenda A: Some Concepts and Properties of Point Set TopologyAddenda B: Some Concepts and Properties of Integral and Statistical Inference