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  • Textbook
  • © 1990

First-Order Logic and Automated Theorem Proving

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Part of the book series: Monographs in Computer Science (MCS)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
  2. Background

    • Melvin Fitting
    Pages 1-7
  3. Propositional Logic

    • Melvin Fitting
    Pages 8-35
  4. Semantic Tableaux and Resolution

    • Melvin Fitting
    Pages 36-69
  5. Other Propositional Proof Procedures

    • Melvin Fitting
    Pages 70-96
  6. First-Order Logic

    • Melvin Fitting
    Pages 97-125
  7. First-Order Proof Procedures

    • Melvin Fitting
    Pages 126-138
  8. Implementing Tableaux and Resolution

    • Melvin Fitting
    Pages 139-193
  9. Equality

    • Melvin Fitting
    Pages 194-232
  10. Back Matter

    Pages 233-244

About this book

There are many kinds of books on formal logic. Some have philosophers as their intended audience, some mathematicians, some computer scientists. Although there is a common core to all such books they will be very dif­ ferent in emphasis, methods, and even appearance. This book is intended for computer scientists. But even this is not precise. Within computer sci­ ence formal logic turns up in a number of areas, from program verification to logic programming to artificial intelligence. This book is intended for computer scientists interested in automated theorem 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, City University of New York, Bronx, USA

    Melvin Fitting

Bibliographic Information

Buy it now

Buying options

eBook USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access