Quotient Space Based Problem Solving
A Theoretical Foundation of Granular Computing
By Ling Zhang, Bo Zhang
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: January 2014
Pages: 396

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.
Product Details
Recommended for You
Customer Reviews
 
Buy 2 Get 1 Free Free Shipping Guarantee
Buying Options
Immediate Access - Go Digital what's this?
Ebook: $129.95
Formats:  ePub, Mobi, PDF