Logic for computer science and artificial intelligence /
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 proble...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
ISTE ;
2011.
Hoboken, NJ : Wiley, 2011. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| 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. |
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| Physical Description: | 1 online resource (537 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118604182 1118604180 9781118604205 1118604202 9781118604267 1118604261 1848213018 9781848213012 |
| DOI: | 10.1002/9781118604182 |
