Logic for Computer Scientists
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Beschreibung
This book introduces the notions and methods of formal logic from a computer science standpoint, covering propositional logic, predicate logic, and foundations of logic programming. It presents applications and themes of computer science research such as resolution, automated deduction, and logic programming in a rigorous but readable way.
The style and scope of the work, rounded out by the inclusion of exercises, make this an excellent textbook for an advanced undergraduate course in logic for computer scientists.
This is a short introductory book on the topic of propositional and first-order logic, with a bias towards computer scientists…. Schöning decides to concentrate on computational issues, and gives us a short book (less than 170 pages) with a tight storyline…. I found this a nicely written book with many examples and exercises (126 of them). The presentation is natural and easy to follow…. This book seems suitable for a short course, a seminar series, or part of a larger course on Prolog and logic programming, probably at the advanced undergraduate level. — SIGACT News
Contains examples and 126 interesting exercises which put the student in an active reading mode.... Would provide a good university short course introducing computer science students to theorem proving and logic programming. — Mathematical Reviews
This book concentrates on those aspects of mathematical logic which have strong connections with different topics in computer science, especially automated deduction, logic programming, program verification and semantics of programming languages.... The numerous exercises and illustrative examples contribute a great extent to a better understanding of different concepts and results. The book can be successfully used as a handbook for an introductory course in artificial intelligence. — Zentralblatt MATH
This book introduces the notions and methods of formal logic from a computer science standpoint, covering propositional logic, predicate logic, and foundations of logic programming. It presents applications and themes of computer science research such as resolution, automated deduction, and logic programming in a rigorous but readable way.
The style and scope of the work, rounded out by the inclusion of exercises, make this an excellent textbook for an advanced undergraduate course in logic for computer scientists.
A more affordable softcover edition of a classic text Gives a good introduction to logic for those with a computer science concentration Replete with illustrative examples and exercises Useful as a companion text to an undergraduate computer science class; may be used as a handbook for an introductory course in artificial intelligence
Autor*in
Uwe Schöning
Themen in »Logic for Computer Scientists«
Resolution artificial intelligence automated deduction automatic reduction computer science formal logic logic logic programming mathematical logic mathematics of computing predicate logic program verification programming language semantics theorem proving
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"This is a short introductory book on the topic of propositional and first-order logic, with a bias towards computer scientists…. Schöning decides to concentrate on computational issues, and gives us a short book (less than 170 pages) with a tight storyline…. I found this a nicely written book with many examples and exercises (126 of them). The presentation is natural and easy to follow…. This book seems suitable for a short course, a seminar series, or part of a larger course on Prolog and logic programming, probably at the advanced undergraduate level." —SIGACT News
"Contains examples and 126 interesting exercises which put the student in an active reading mode.... Would provide a good university short course introducing computer science students to theorem proving and logic programming." —Mathematical Reviews
"This book concentrates on those aspects of mathematical logic which have strong connections with different topics in computer science, especially automated deduction, logic programming, program verification and semantics of programming languages.... The numerous exercises and illustrative examples contribute a great extent to a better understanding of different concepts and results. The book can be successfully used as a handbook for an introductory course in artificial intelligence." —Zentralblatt MATH
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