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Quotient Space Based Problem Solving : A Theoretical Foundation of Granular Computing - Ling Zhang

Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing

By: Ling Zhang, Bo Zhang

eBook | 30 January 2014 | Edition Number 1

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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.
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      You Can Find This eBook In

      Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceNatural Language & Machine TranslationLanguage & LinguisticsLinguisticsComputational Linguistics

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