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

Book 27 of 27: Computational Intelligence
 
9783528055745: The Efficiency of Theorem Proving Strategies: A Comparative and Asymptotic Analysis (Computational Intelligence)

Synopsis

Examining the efficiency of theorem proving strategies, this text provides a comparative and asymptotic anlaysis.

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Book Description

A Comparative and Asymptotic Analysis

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.

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