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Caferra, Ricardo

Logic for Computer Science and Artificial Intelligence

Caferra, Ricardo - Logic for Computer Science and Artificial Intelligence, ebook

171,60€

Ebook, ePUB with Adobe DRM
ISBN: 9781118604267
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Printing30 pages with an additional page accrued every day, capped at 30 pages
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Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic and logic as a topic benefits from a unified approach. Logic for Computer Science and Artificial Intelligence utilizes this format, surveying the tableaux, resolution, Davis and Putnam methods, logic programming, as well as for example unification and subsumption. For non-classical logics, the translation method is detailed.
Logic for Computer Science and Artificial Intelligence is the classroom-tested result of several years of teaching at Grenoble INP (Ensimag). It is conceived to allow self-instruction for a beginner with basic knowledge in Mathematics and Computer Science, but is also highly suitable for use in traditional courses. The reader is guided by clearly motivated concepts, introductions, historical remarks, side notes concerning connections with other disciplines, and numerous exercises, complete with detailed solutions, The title provides the reader with the tools needed to arrive naturally at practical implementations of the concepts and techniques discussed, allowing for the design of algorithms to solve problems.

Keywords: Intelligent Systems & Agents, Artificial intelligence basic text, logic and computer science, text for logic and computer science, logic programming, Davis and Putnam methods of logic, comprehensive approach to logic and computer science

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2011
Language
en
Edition
1
Series
ISTE
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (ePUB)
9781118604267
Printed ISBN
9781848213012

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