An Introduction to Mathematical Logic and Type Theory : To Truth Through Proof

Andrews, Peter B.

ISBN 10: 0120585367 / ISBN 13: 9780120585366

Edité par Elsevier Science & Technology Books, 1986

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Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. N° de réf. du vendeur 17322975-20

Détails bibliographiques

Titre : An Introduction to Mathematical Logic and ...

Éditeur : Elsevier Science & Technology Books

Date d'édition : 1986

Reliure : Couverture souple

Etat : Good

A propos de ce titre

Synopsis :

Book by Andrews Peter B

Présentation de l'éditeur:

In case you are considering to adopt this book for courses with over 50 students, please contact ties.nijssen@springer.com for more information.

This introduction to mathematical logic starts with propositional calculus and first-order logic. Topics covered include syntax, semantics, soundness, completeness, independence, normal forms, vertical paths through negation normal formulas, compactness, Smullyan's Unifying Principle, natural deduction, cut-elimination, semantic tableaux, Skolemization, Herbrand's Theorem, unification, duality, interpolation, and definability.

The last three chapters of the book provide an introduction to type theory (higher-order logic). It is shown how various mathematical concepts can be formalized in this very expressive formal language. This expressive notation facilitates proofs of the classical incompleteness and undecidability theorems which are very elegant and easy to understand. The discussion of semantics makes clear the important distinction between standard and nonstandard models which is so important in understanding puzzling phenomena such as the incompleteness theorems and Skolem's Paradox about countable models of set theory.

Some of the numerous exercises require giving formal proofs. A computer program called Etps which is available from the web facilitates doing and checking such exercises.

Audience: This volume will be of interest to mathematicians, computer scientists, and philosophers in universities, as well as to computer scientists in industry who wish to use higher-order logic for hardware and software specification and verification.