Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing – PDF/EPUB Version Downloadable

$49.99

Author(s): Zhang, Ling; Zhang, Bo
Publisher: Morgan Kaufmann
ISBN: 9780124103870
Edition:

Important: No Access Code

Delivery: This can be downloaded Immediately after purchasing.

Version: Only PDF Version.

Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)

Quality: High Quality. No missing contents. Printable

Recommended Software: Check here

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.

      • 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.