Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logical Foundations

Gabbay, Dov M. [Editor]; Hogger, C. J. [Editor]; Robinson, J. A. [Editor]; Siekmann, J. [Editor];

ISBN 10: 019853745X / ISBN 13: 9780198537458

Published by Oxford Press; Clarendon Press, 1993

About this Item

Near Fine. Oxford Reprint (2003) of 1993 Original. Clarendon Press; Oxford University Press. Hardcover. Clean interior w/ no markings. Issued without dust jacket. Decorative boards w/ very light shelf / edge wear. 518 pp. Binding solid & square. Vol 1 of multi-volume academic series. Comprehensive academic handbook covering logical foundations of AI & logic programming w/ resolution methods, semantic structures & deduction methodologies. Handbook of Logic in Artificial Intelligence and Logic Programming Volume 1: Logical Foundations. Ships priority, insured, tracked w/signature confirmation, from USA, quickly and with care.

Seller Inventory # 3420NF-oa110425A5

Bibliographic Details

• Title: Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logical Foundations
• Publisher: Oxford Press; Clarendon Press
• Publication Date: 1993
• Language: English
• ISBN 10: 019853745X
• ISBN 13: 9780198537458
• Binding: Hardcover
• Edition: 2003 Reprint; Reprint Edition.
• Condition: Near Fine
• Weight: 59 ounces
• Seller catalogs:
  • ENGINEERING & MATHEMATICS

About this title

Synopsis

Logic is now widely recognized to be one of the foundational disciplines of computing with applications in virtually all aspects of the subject, from software engineering and hardware development to programming languages and artificial intelligence. There is a growing need for an in-depth survey of the applications of logic in AI and computer science. The Handbook of Logic in Artificial Intelligence and Logic Programming and its companion, Handbook of Logic in Computer Science, have been created in response to this need. This book is a combination of authoritative exposition, comprehensive survey, and fundamental research that explores underlying unifying themes in the various subject areas. Chapters have been written by an internationally renowned team of researchers and are coordinated in terms of the theories discussed and the examples offered. This book will be of interest to graduate students and researchers in all areas of artificial intelligence, computer science, and logic, as well as to logicians and mathematicians.

About the Author

Dov M. Gabbay is at Imperial College of Science, Technology and Medicine. C. J. Hogger is at Imperial College of Science, Technology and Medicine.