Quotient Space Based Problem Solving, 1st Edition

  • Published By:
  • ISBN-10: 0124104436
  • ISBN-13: 9780124104433
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 396 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Problem Representations.
2: Hierarchy and Multi-Granular Computing.
3: Information Synthesis in Multi-Granular Computing.
4: Reasoning in Multi-Granular Worlds.
5: Automatic Spatial Planning.
6: Statistical Heuristic Search.
7: The Expansion of Quotient Space Theory.
8: Some Concepts and Properties of Point Set Topology.
9: Some Concepts and Properties of Integral and Statistical Inference.