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  • © 1996

First-Order Logic and Automated Theorem Proving

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Part of the book series: Texts in Computer Science (TCS)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvii
  2. Background

    • Melvin Fitting
    Pages 1-8
  3. Propositional Logic

    • Melvin Fitting
    Pages 9-39
  4. Semantic Tableaux and Resolution

    • Melvin Fitting
    Pages 41-76
  5. Other Propositional Proof Procedures

    • Melvin Fitting
    Pages 77-107
  6. First-Order Logic

    • Melvin Fitting
    Pages 109-136
  7. First-Order Proof Procedures

    • Melvin Fitting
    Pages 137-150
  8. Implementing Tableaux and Resolution

    • Melvin Fitting
    Pages 151-201
  9. Further First-Order Features

    • Melvin Fitting
    Pages 203-269
  10. Equality

    • Melvin Fitting
    Pages 271-313
  11. Back Matter

    Pages 315-326

About this book

There are many kinds of books on formal logic. Some have philosophers as their intended audience, some mathematicians, some computer scien­ tists. Although there is a common core to all such books, they will be very different in emphasis, methods, and even appearance. This book is intended for computer scientists. But even this is not precise. Within computer science formal logic turns up in a number of areas, from pro­ gram verification to logic programming to artificial intelligence. This book is intended for computer scientists interested in automated theo­ rem proving in classical logic. To be more precise yet, it is essentially a theoretical treatment, not a how-to book, although how-to issues are not neglected. This does not mean, of course, that the book will be of no interest to philosophers or mathematicians. It does contain a thorough presentation of formal logic and many proof techniques, and as such it contains all the material one would expect to find in a course in formal logic covering completeness but, not incompleteness issues. The first item to be addressed is, What are we talking about and why are we interested in it? We are primarily talking about truth as used in mathematical discourse, and our interest in it is, or should be, self­ evident. Truth is a semantic concept, so we begin with models and their properties. These are used to define our subject.

Authors and Affiliations

  • Department of Mathematics and Computer Science Lehman College, The City of New York University, Bronx, USA

    Melvin Fitting

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access