Logic and Language Models for Computer Science (4版)

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This unique compendium highlights the theory of computation, particularly logic and automata theory. Special emphasis is on computer science applications including loop invariants, program correctness, logic programming and algorithmic proof techniques. This innovative volume differs from standard textbooks, by building on concepts in a different order, using fewer theorems with simpler proofs. It has added many new examples, problems and answers. It can be used as an undergraduate text at most universities. Request Inspection Copy Sample Chapter(s) Preface Chapter 1: Mathematical Preliminaries Contents: Preface About the Author Mathematical Preliminaries Logic for Computer Science: Propositional Logic Proofs by Deduction Predicate Logic Proofs with Predicates Program Verification Language Models for Computer Science: Language and Models Generating Regular Languages Finite Automata Context-Free Grammars Pushdown Automata and Parsing Turing Machines Appendices: Logic Programming The AWK Language Answers to Selected Problems Bibliography Index Readership: Researchers, professionals, academics, and graduate students in theoretical computer science.

Introduction to Logic (3版)

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1. Introduction Part 1: Syllogistic, Informal, and Inductive Logic 2. Syllogistic Logic 3. Meaning and Definitions 4. Fallacies and Argumentation 5. Inductive Reasoning Part 2: Classical Symbolic Logic 6. Basic Propositional Logic 7. Propositional Proofs 8. Basic Quantificational Logic 9. Relations and Identity Part 3: Advanced Symbolic Systems 10. Basic Modal Logic 11. Further Modal Systems 12. Deontic and Imperative Logic 13. Belief Logic 14. A Formalized Ethical Theory Part 4: Further Vistas 15. Metalogic 16. History of Logic 17. Deviant Logic 18. Philosophy of Logic