Logic for computer science and artificial intelligence /

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Bibliographic Details
Author / Creator:Caferra, Ricardo, 1945-
Imprint:London : ISTE ; Hoboken, NJ : Wiley, 2011.
Description:1 online resource (537 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13609303
Hidden Bibliographic Details
ISBN:9781118604182
1118604180
9781118604205
1118604202
9781118604267
1118604261
1848213018
9781848213012
9781848213012
Notes:Includes bibliographical references and index.
Print version record.
Summary: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.
Other form:Print version: Caferra, Ricardo. Logic for Computer Science and Artificial Intelligence. London : Wiley, ©2013 9781848213012