Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing
Erscheinungsjahr 2014
ISBN: 978-0-12-410387-0
Verlag: Elsevier Science

Buch, Englisch, 396 Seiten, Format (B × H): 195 mm x 238 mm, Gewicht: 955 g

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.

Zielgruppe

Graduate students, research fellows and academics specializing in artificial intelligence and concerned with computerized problem solving and granular computing.

Autoren/Hrsg.

Zhang, Ling

Zhang, Bo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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

Über Autor(innen)

Zhang, Bo
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.

Zhang, Ling
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.