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The Efficiency of Theorem Proving Strategies

A Comparative and Asymptotic Analysis

  • Textbook
  • © 1997

Overview

  • Ein besseres Verständnis theorembeweisender Methoden

Part of the book series: Computational Intelligence (CI)

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Table of contents (2 chapters)

Keywords

About the authors

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.

Bibliographic Information

  • Book Title: The Efficiency of Theorem Proving Strategies

  • Book Subtitle: A Comparative and Asymptotic Analysis

  • Authors: David A. Plaisted, Yunshan Zhu

  • Series Title: Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-322-93862-6

  • Publisher: Vieweg+Teubner Verlag Wiesbaden

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Fachmedien Wiesbaden 1997

  • eBook ISBN: 978-3-322-93862-6Published: 13 March 2013

  • Series ISSN: 2522-0519

  • Series E-ISSN: 2522-0527

  • Edition Number: 1

  • Number of Pages: VI, 167

  • Number of Illustrations: 2 b/w illustrations

  • Topics: Engineering, general

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