Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 2: Deduction Methodologies

by Dov M. Gabbay, C. J. Hogger, J. A. Robinson

Overview

Logic is now widely recognized to be one of the foundational disciplines of computing with applications reaching almost every aspect of the subject, from software engineering and hardware to programming languages and artificial intelligence. The Handbook of Logic in Artificial Intelligence and Logic Programming is a multi-volume work covering all major areas of application of logic to AI and logic programming. Each volume features a combination of authoritative exposition, comprehensive survey, and fundamental research exploring the underlying themes in the various areas. Volumes 1 and 2 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 and are written by internationally renowned researchers. Students and researchers of artificial intelligence, computer science, and logic will find this landmark reference invaluable to their work.

Product Details

ISBN-13:	9780198537465
Publisher:	Oxford University Press
Publication date:	04/28/1994
Series:	Handbook of Logic in Artificial Intelligence and Logic Programming
Pages:	526
Product dimensions:	9.36(w) x 6.28(h) x 1.44(d)

About the Author

both at the Imperial College of Science, Technology and Medicine

Syracuse University, New York

Table of Contents

2.1. Automated Reasoning, L. Wos and R. Veroff2.2. General Unification Theory, J. Siekmann2.3. Induction, Ch. Walther2.4. Higher-Order Features, Types and Fixpoints, D. Leivant2.5. Metalanguages, Reflection Principles and Self Reference, D. Perlis and V.S. Subrahmanian2.6. Classical vs non-classical Logic, D. Gabbay