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Logic for Computer Science and Artificial Intelligence

ISBN: 9781848213012 | 1848213018
Edition: 1st
Format: Hardcover
Publisher: Wiley-ISTE
Pub. Date: 8/15/2011

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This book is the result of several years of teaching experience at Grenoble INP (Ensimag). It is essentially self-instruction oriented, but of course can be used in traditional courses. Logic (propositional, first-order, and non-classical) plays a key role in Computer Science and Artificial Intelligence. A huge amount of information exists in different supports (such as books, articles, and web pages), but to avoid becoming lost in these references, the beginner needs a unified, synthetic approach. Such an approach is followed throughout the book, which surveys tableaux, resolution, Davis and Putnam methods, and logic programming along with unification and subsumption. For non-classical logics, the translation method is privileged. Numerous historical remarks and digressions concerning connections with other domains, as well as a plethora of exercises including detailed solutions, will accompany the reader in his learning.


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