An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] /
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.
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Format: | Texto biblioteca |
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Dordrecht : Springer Netherlands : Imprint: Springer,
2002
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Subjects: | Mathematics., Logic., Computers., Artificial intelligence., Mathematical logic., Computational linguistics., Mathematical Logic and Foundations., Computing Methodologies., Artificial Intelligence (incl. Robotics)., Computational Linguistics., |
Online Access: | http://dx.doi.org/10.1007/978-94-015-9934-4 |
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Mathematics. Logic. Computers. Artificial intelligence. Mathematical logic. Computational linguistics. Mathematics. Mathematical Logic and Foundations. Computing Methodologies. Logic. Artificial Intelligence (incl. Robotics). Computational Linguistics. Mathematics. Logic. Computers. Artificial intelligence. Mathematical logic. Computational linguistics. Mathematics. Mathematical Logic and Foundations. Computing Methodologies. Logic. Artificial Intelligence (incl. Robotics). Computational Linguistics. |
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Mathematics. Logic. Computers. Artificial intelligence. Mathematical logic. Computational linguistics. Mathematics. Mathematical Logic and Foundations. Computing Methodologies. Logic. Artificial Intelligence (incl. Robotics). Computational Linguistics. Mathematics. Logic. Computers. Artificial intelligence. Mathematical logic. Computational linguistics. Mathematics. Mathematical Logic and Foundations. Computing Methodologies. Logic. Artificial Intelligence (incl. Robotics). Computational Linguistics. Andrews, Peter B. author. SpringerLink (Online service) An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / |
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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. |
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Mathematics. Logic. Computers. Artificial intelligence. Mathematical logic. Computational linguistics. Mathematics. Mathematical Logic and Foundations. Computing Methodologies. Logic. Artificial Intelligence (incl. Robotics). Computational Linguistics. |
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Andrews, Peter B. author. SpringerLink (Online service) |
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Andrews, Peter B. author. SpringerLink (Online service) |
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Andrews, Peter B. author. |
title |
An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / |
title_short |
An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / |
title_full |
An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / |
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An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / |
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An Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / |
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introduction to mathematical logic and type theory: to truth through proof [electronic resource] / |
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Dordrecht : Springer Netherlands : Imprint: Springer, |
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2002 |
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http://dx.doi.org/10.1007/978-94-015-9934-4 |
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KOHA-OAI-TEST:1917762018-07-30T23:16:23ZAn Introduction to Mathematical Logic and Type Theory: To Truth Through Proof [electronic resource] / Andrews, Peter B. author. SpringerLink (Online service) textDordrecht : Springer Netherlands : Imprint: Springer,2002.engIn 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.0 Introduction -- 1 Propositional Calculus -- 2 First-Order Logic -- 3 Provability and Refutability -- 4 Further Topics in First-Order Logic -- 5 Type Theory -- 6 Formalized Number Theory -- 7 Incompleteness and Undecidability -- Supplementary Exercises -- Summary of Theorems -- List of Figures.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.Mathematics.Logic.Computers.Artificial intelligence.Mathematical logic.Computational linguistics.Mathematics.Mathematical Logic and Foundations.Computing Methodologies.Logic.Artificial Intelligence (incl. Robotics).Computational Linguistics.Springer eBookshttp://dx.doi.org/10.1007/978-94-015-9934-4URN:ISBN:9789401599344 |