Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing de

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Éditeur :

Morgan Kaufmann


Paru le : 2014-01-30

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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
Pages
396 pages
Collection
n.c
Parution
2014-01-30
Marque
Morgan Kaufmann
EAN papier
9780124103870
EAN EPUB SANS DRM
9780124104433

Informations sur l'ebook
Prix
103,34 €

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