Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3 : Nonmonotonic Reasoning and Uncertain Reasoning - Dov M. Gabbay

Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3

Nonmonotonic Reasoning and Uncertain Reasoning

By: Dov M. Gabbay, C. J. Hogger, J. A. Robinson

Hardcover | 17 March 1994

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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 in logic in A1 and computer science. The Handbook of Logic in Ariticial 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 A1. 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.
Industry Reviews
'The standard of exposition is always high; some of the chapters are a delight to read. All parts of the Handbook should be accessible to anyone with a graduate course level background in logic; in some cases even less will suffice ... the editors' choice is very reasonable and the contributors have also made fair use of their freedom to emphasize what they believe is important. The novice will not be let astray if she follows the paths cut through the jungle of current research. For the expert the volumes provides reliable surveys and useful teaching aids. The Handbook promises to become a unique collection of some of the finest work in AI.' André Fuhrmann, University of Konstanz, Studia Logica `three volumes of the handbook of Logic in Artificial Intelligence and Logic Programming represent a detailed and comprehensive exposition of the theoretical and computational features of a wide variety of classical and non-classical logics ... the Handbook can be unreservedly recommended to AI practitionrs with proficiency in logic and commitment to its role in the development of AI systems' Maria Fox, University College, London, The Computer Journal, Vol. 37, No. 9, 1994

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