Logic for Computer Science and Artificial Intelligence

  • ISBN 13:


  • ISBN 10:


  • Format: Hardcover
  • Copyright: 08/15/2011
  • Publisher: Iste/Hermes Science Pub

Note: Not guaranteed to come with supplemental materials (access cards, study guides, lab manuals, CDs, etc.)

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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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