The Efficiency of Theorem Proving Strategies: A Comparative and Asymptotic Analysis (Computational Intelligence) - Softcover

Plaisted, David A.

Softcover

ISBN 10: 3528155744 ISBN 13: 9783528155742

Publisher: Vieweg+Teubner Verlag, 1999

Synopsis

This is the second and slightly revised edition of this book. A few errors have been fixed, and some references to related work have been added. I thank the readers for their comments on the first edition. We analyze the search efficiency of a number of common refutational theorem proving strategies on propositional and near-propositional prob­ lems. Search efficiency is concerned with the total number of proofs and partial proofs generated, rather than with the sizes of the proofs. We show that most common strategies produce search spaces of expo­ nential size even on simple sets of clauses, or else are not sensitive to the goal. However, clause linking, which uses a reduction to proposi­ tional calculus, has behavior that is more favorable in some respects, a property that it shares with methods that cache subgoals. A strat­ egy which is of interest for term-rewriting based theorem proving is the A-ordering strategy, and we discuss it in some detail. We show some advantages of A-ordering over other strategies, which may help to explain its efficiency in practice. We also point out some of its com­ binatorial inefficiencies, especially in relation to goal-sensitivity and irrelevant clauses. In addition, SLD-resolution, which is of importance for Prolog implementation, has combinatorial inefficiencies; this may suggest basing Prolog implementations on a different theorem proving strategy. We also develop techniques for studying the asymptotic complexity of first-order theorem provers. This permits an analytic comparison of the worst-case performances of various theorem proving methods.

About this title

About the Author

David A. Plaisted ist seit 1984 Professor am Fachbereich Informatik der University of North Carolina. Seine gegenwärtigen Forschungen umfassen automatisches Theorembeweisen, Termersetzungssysteme sowie funktionale und Logikprogrammierung.
Yunshan Zhu ist Mitarbeiter am selben Fachbereich der UNC. Sein Forschungsinteresse gilt dem automatischen Theorembeweisen, formalen Methoden und logikbasierten Methoden der Künstlichen Intelligenz.

Since 1984 David A. Plaisted is professor in the Department of Computer Science at the University of North Carolina. His current interests include theorem proving, term-rewriting systems and logic and functional programming.
Yunshan Zhu also is a member of the Department of Computer Science at the University of North Carolina. Zhu's current research interests include theorem proving, formal methods and logical approaches of Artificial Intelligence.

From the Back Cover

This book is unique in that it gives asymptotic bounds on the sizes of the search spaces generated by many common theorem proving strategies. Thus it permits one to gain a theoretical unterstanding of the efficiencies of many different theorem proving methods. This is a fundamental tool in the comparative study of theorem proving strategies. The second edition is slightly revised, a few errors have been fixed, and some references to related works have been added.

Edition details

• Publisher: Vieweg+Teubner Verlag
• Publication date: 1999
• Language: English
• ISBN 10: 3528155744
• ISBN 13: 9783528155742
• Binding: Paperback
• Edition number: 2
• Number of pages: 180
• Editor: Bibel Wolfgang