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Also Recommended
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Volume 1: Logic Foundations
Dov M. Gabbay, C. J. Hogger...
£260.00
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Volume 3: Nonmonotonic Reasoning and Uncertain Reasoning
Dov M. Gabbay, C. J. Hogger...
£260.00
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Volume 5: Logic Programming
Dov M. Gabbay, C.J. Hogger...
£260.00
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Handbook of Logic in Artificial Intelligence and Logic Programming
Volume 2: Deduction Methodologies
Dov M. Gabbay, C. J. Hogger, and J. A. Robinson
Volume Co-ordinator: J. Siekmann
526 pages
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line figures
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234x156mm
978-0-19-853746-5
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Hardback
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17 March 1994
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This item is printed to order. Items which are printed to order are normally despatched and charged within 5-10 days.
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- Contributors are experts from around the world
- The definitive reference for logic - the basis of computer science
- Volume 2 covers deduction methodologies
Logic is now widely recognized to be one of the foundational disciplines of computing and has found applications in virtually all aspects of the subject, from software engineering and hardware to programming languages and artificial intelligence. There is a growing need for an in-depth survey of the applications of logic in Al and computer science. The Handbook of Logic in Articial Intelligence and Logic Programming and its companion, the Handbook of Logic in Computer Science, have been created in response to this need. We see the creation of the Handbook as a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes
in the various areas. The intended audience is graduate students and researchers in the areas of A1 and logic, as well as other people interested in the subject. We assume as background some mathematical sophistication. Much of the material will be of interest to logicians and mathematicians. The tables of contents of the volumes were finalized after extensive discussions between handbook authors and second readers. The first volumes present the logical foundations and deduction methodologies extensively used in AI. Volumes 3 and 4 cover reasoning, and Volume 5 details logic programming. The chapters, which in many cases are of monograph length and scope, emphasize possible unifying themes. They are written by internationally renowned researchers in the respective areas. The chapters are
co-ordinated and their contents have been reviewed in joint meetings.Readership: Theoretical computer scientists; logicians.
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Dov M. Gabbay, Professor of Computing, Imperial College of Science, Technology and Medicine, C. J. Hogger, Department of Computing, Imperial College of Science, Technology and Medicine, and J. A. Robinson, Department of Computing Science, Syracuse University, New York Volume Co-ordinator: J. Siekmann
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"Review of the first three volumes: `.. an essential acquisition for any library covering theoretical computer science and highly desirable for any researcher in the field.' Times Higher Education Supplement" "Review of the first three volumes: `... represent a detailed and comprehensive exposition of the theoretical and computational features of a wide variety of classical and non-classical logics.'
`...can be unreservedly recommended to AI practitioners with proficiency in logic and commitment to its role in the development of AI systems.' The Computer Journal"
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2.1: L. Wos and R. Veroff: Automated Reasoning
2.2: J. Siekmann: General Unification Theory
2.3: Ch. Walther: Induction
2.4: D. Leivant: Higher-Order Features, Types and Fixpoints
2.5: D. Perlis and V.S. Subrahmanian: Metalanguages, Reflection Principles and Self Reference
2.6: D. Gabbay: Classical vs non-classical Logic
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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