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140122 ||| eng |
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|a 9781468403572
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| 100 |
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|a Fitting, Melvin
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| 245 |
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|a First-Order Logic and Automated Theorem Proving
|h Elektronische Ressource
|c by Melvin Fitting
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| 250 |
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|a 1st ed. 1990
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| 260 |
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|a New York, NY
|b Springer New York
|c 1990, 1990
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| 300 |
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|a XV, 242 p
|b online resource
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|a 5.5 Hintikka’s Lemma -- 5.6 Parameters -- 5.7 The Model Existence Theorem -- 5.8 Applications -- 5.9 Logical Consequence -- 5.10 Craig’s Interpolation Lemma -- 5.11 Beth’s Definability Theorem -- 6 First-Order Proof Procedures -- 6.1 First-Order Semantic Tableaux -- 6.2 First-Order Resolution -- 6.3 Soundness -- 6.4 Completeness -- 6.5 Hilbert Systems -- 6.6 Natural Deduction and Gentzen Sequents -- 7 Implementing Tableaux and Resolution -- 7.1 What Next -- 7.2 Unification -- 7.3 Unification Implemented -- 7.4 Free Variable Semantic Tableaux -- 7.5 A Tableau Implementation -- 7.6 Free Variable Resolution -- 7.7 Soundness -- 7.8 Free Variable Tableau Completeness -- 7.9 Free Variable Resolution Completeness -- 7.10 The Replacement Theorem -- 7.11 Skolemization -- 7.12 PrenexForm -- 8 Equality -- 8.1 Introduction -- 8.2 Syntax and Semantics -- 8.3 The Equality Axioms.-8.4 Hintikka’s Lemma -- 8.5 The Model Existence Theorem -- 8.6 Consequences --
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|a 1 Background -- 2 Propositional Logic -- 2.1 Introduction -- 2.2 Propositional Logic — Syntax -- 2.3 Propositional Logic — Semantics -- 2.4 Boolean Valuations -- 2.5 The Replacement Theorem -- 2.6 Uniform Notation -- 2.7 König’s Lemma -- 2.8 Normal Forms -- 2.9 Normal Form Implementations -- 3 Semantic Tableaux and Resolution -- 3.1 Propositional Semantic Tableaux -- 3.2 Propositional Tableaux Implementations -- 3.3 Propositional Resolution -- 3.4 Soundness -- 3.5 Hintikka’s Lemma -- 3.6 The Model Existence Theorem -- 3.7 Tableau and Resolution Completeness -- 3.8 Completeness With Restrictions -- 3.9 Propositional Consequence -- 4 Other Propositional Proof Procedures -- 4.1 Hilbert Systems -- 4.2 Natural Deduction -- 4.3 The Sequent Calculus -- 4.4 The Davis-Putnam Procedure -- 4.5 Computational Complexity -- 5 First-Order Logic -- 5.1 First-Order Logic — Syntax -- 5.2 Substitutions -- 5.3 First-Order Semantics -- 5.4 First-Order Uniform Notation --
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|a 8.7 Tableau and Resolution Systems -- 8.8 Alternate Tableaux and Resolution Systems -- 8.9 A Free Variable Tableau System With Equality -- 8.10 A Tableaux Implementation With Equality -- 8.11 Paramodulation -- References
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| 653 |
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|a Computer Science Logic and Foundations of Programming
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| 653 |
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|a Computer science
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Formal Languages and Automata Theory
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| 653 |
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|a Machine theory
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| 653 |
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|a Artificial intelligence
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Monographs in Computer Science
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| 028 |
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|a 10.1007/978-1-4684-0357-2
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| 856 |
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|u https://doi.org/10.1007/978-1-4684-0357-2?nosfx=y
|x Verlag
|3 Volltext
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|a 005.131
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| 520 |
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|a 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
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