
Logics for Computer Science
Description
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While many logic books are available, they were written by logicians for logicians, not for computer scientists. They usually choose one particular way of presenting the material and use a specialized language. Logics for Computer Science discusses Gentzen as well as Hilbert formalizations, first order theories, the Hilbert Program, Godel's first and second incompleteness theorems and their proofs. It also introduces and discusses some many valued logics, modal logics and introduces algebraic models for classical, intuitionistic, and modal S4 and S5 logics. The theory of computation is based on concepts defined by logicians and mathematicians. Logic plays a fundamental role in computer science, and this book explains the basic theorems, as well as different techniques of proving them in classical and some non-classical logics. Important applications derived from concepts of logic for computer technology include Artificial Intelligence and Software Engineering. In addition to Computer Science, this book may also find an audience in mathematics and philosophy courses, and some of the chapters are also useful for a course in Artificial Intelligence.
Reviews / Votes
"This textbook is intended to serve as a first introduction to logic for undergraduate students, especially for those majoring in computer science or a related field. . The text is very reader-friendly, with plenty of explanations. . The problems will provide readers with ample opportunity to hone their skills." (Katalin Bimbó, Mathematical Reviews, October, 2019)More details
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Person
She has also published papers, books, and edited books in many domains ranging from Classical and Non-Classical Logics, Automated Theorem Proving, Formal Languages, Theory of Programs, Foundations of Rough Sets in which she was one of the pioneers, to generalized Fuzzy and Rough sets, and Machine Learning.
Content
1: Introduction: Paradoxes and Puzzles.- 2: Introduction to Classical Logic.- 3: Propositional Semantics: Classical and Many Valued.- 4: General Proof Systems: Syntax and Semantics.- 5: Hilbert Proof Systems: Deduction and Completeness Theorems for Classical Propositional Logic.- 6: Automated Proof Systems.- 7: Introduction to Intuitionistic and Modal Logics.- 8: Classical Predicate Semantics and Proof Systems.- 9: Completeness and Deduction Theorems for Classical Predicate Logic.- 10: Predicate Automated Proof Systems.- 11: Formal Theories and Godel Theorems.
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