[PDF.03ig] A Logical Theory of Nonmonotonic Inference and Belief Change (Artificial Intelligence)

A Logical Theory of Nonmonotonic Inference and Belief Change (Artificial Intelligence)

[PDF.hs39] A Logical Theory of Nonmonotonic Inference and Belief Change (Artificial Intelligence)

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 | #14150384 in Books |  2010-02-19 | Original language:English | PDF # 1 |  9.00 x1.01 x6.00l,1.37 | File type: PDF | 436 pages

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|| ||From the reviews: |"This text provides a broad overview of topics related to non-classical consequence operators, nonmonotonic inference and belief change. The presentation is abstract and precise, and is grounded in a formal setting of logic." (Miroslav Trus

This is the first book that integrates nonmonotonic reasoning and belief change into a single framework from an artificial intelligence logic point-of-view. The approach to both these subjects is based on a powerful notion of an epistemic state that subsumes both existing models for nonmonotonic inference and current models for belief change. Many results and constructions in the book are completely new and have not appeared earlier in the literature.

You easily download any file type for your device.A Logical Theory of Nonmonotonic Inference and Belief Change (Artificial Intelligence)   |  Alexander Bochman. Which are the reasons I like to read books. Great story by a great author.

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