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Books : Science : Mathematics : Pure Mathematics : Predicate & Propositional Calculus
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This is a mathematics textbook with theorems and proofs. The choice of topics has been guided by the needs of computer science students. The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and yet sufficiently elementary for undergraduates. In order to provide a balanced treatment of logic, tableaux are related to deductive proof systems. The book presents various logical systems and contains exercises. Still further, Prolog source code is available on an accompanying Web site. The author is an Associate Professor at the Department of Science Teaching, Weizmann Institute of Science.
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The aim of this book is to provide an exposition of elementary formal logic. The course, which is primarily intended for first-year students who have no previous knowledge of the subject, forms a working basis for more advanced reading and is presented in such a way as to be intelligible to the layman. The nature of logic is examined with the gradual introduction of worked samples showing how to distinguish the sound statement from the unsound. Arguments whose soundness cannot be proved by propositional calculus are discussed, and it is shown how formalization can reveal the logical form of arguments. The final section of the book deals with the application of the predicate calculus as applied in various other fields of logic.
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The text covers elementary logic, from statement logic through relational logic with identity and function symbols. The authors acquaint students with formal techniques at a level appropriate for undergraduates, but extends far enough and deep enough into the subject that it is suitable for a brief first-year graduate course. The text covers full and brief truth tables, and presents the method of truth (consistency) trees and natural deduction for the whole of elementary logic. The text's organization allows instructors to cover just statement logic, or statement logic combined with various extensions into predicate logic: monadic logic with or without identity, or the preceding plus relational logic with or without identity and with or without function symbols. At each stage, the instructor may elect to pursue truth trees and/or natural deduction. A final chapter provides a perspective for further study and applications of logic. The text may be used with or without the accompanying software.
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This volume spans the whole field of computational logic seen from the point of view of logic programming. The topics addressed range from issues concerning the development of programming languages in logic and the application of computational logic to real-life problems, to philosophical studies of the field at the other end of the spectrum. The articles presented cover the contributions of computational logic to databases and artificial intelligence with particular emphasis on automated reasoning, reasoning about actions and change, natural languages, and learning. Together with its companion volume, LNAI 2407, this book commemorates the 60th birthday of Bob Kowalski as one of the founders of and contributors to computational logic.
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Designed specifically for guided independent study. Features a wealth of worked examples and exercises, many with full teaching solutions, that encourage active participation in the development of the material. It focuses on core material and provides a solid foundation for further study.
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Although this area has a history of over 80 years, it was not until the creation of efficient SAT solvers in the mid-1990s that it became practically important, finding applications in electronic design automation, hardware and software verification, combinatorial optimization, and more. Exploring the theoretical and practical aspects of satisfiability, Introduction to Mathematics of Satisfiability focuses on the satisfiability of theories consisting of propositional logic formulas. It describes how SAT solvers and techniques are applied to problems in mathematics and computer science as well as important applications in computer engineering.
The book first deals with logic fundamentals, including the syntax of propositional logic, complete sets of functors, normal forms, the Craig lemma, and compactness. It then examines clauses, their proof theory and semantics, and basic complexity issues of propositional logic. The final chapters on knowledge representation cover finite runs of Turing machines and encodings into SAT. One of the pioneers of answer set programming, the author shows how constraint satisfaction systems can be worked out by satisfiability solvers and how answer set programming can be used for knowledge representation.
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Foundations of mathematics is the study of the most basic concepts and logical structure of mathematics, with an eye to the unity of human knowledge. Almost all of the problems studied in this book are motivated by an overriding foundational question: What are the appropriate axioms for mathematics? Through a series of case studies, these axioms are examined to prove particular theorems in core mathematical areas such as algebra, analysis, and topology, focusing on the language of second-order arithmetic, the weakest language rich enough to express and develop the bulk of mathematics. In many cases, if a mathematical theorem is proved from appropriately weak set existence axioms, then the axioms will be logically equivalent to the theorem. Furthermore, only a few specific set existence axioms arise repeatedly in this context, which in turn correspond to classical foundational programs. This is the theme of reverse mathematics, which dominates the first half of the book. The second part focuses on models of these and other subsystems of second-order arithmetic. Additional results are presented in an appendix.
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This text gives a self-contained foundation of predicate transformer semantics by making extensive use of the predicate calculus. The semantics of the repetitive construct is defined in terms of weakest and strongest solutions in terms of the weakest precondition and the weakest liberal precondition, the notion of determinacy is defined it is shown how to cope unbounded nondeterminacy without using transfinite induction.
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This book introduces the technical tools and concepts that are indispensable for advanced work in philosophy. Beginning with the fundamentals of set theory, the author guides the reader through relations, functions and the theory of arithmetic before using these tools to clarify the metatheory of the predicate calculus. There are discussions of recursive definitions, Godel's Theorem, and completeness for the predicate calculus. The text emphasizes the structure of these systems and the metatheory behind them.
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The book will synthesize and integrate better what are often disparate ideas, themes, and methods across substantive areas of white-collar crime and criminology and criminal justice. The book also puts together critical and emerging topics within criminology and criminal justice that have important implications for the study of white-collar crime and criminology/criminal justice more generally.
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This volume spans the whole field of computational logic seen from the point of view of logic programming. The topics addressed range from issues concerning the development of programming languages in logic and the application of computational logic to real-life problems, to philosophical studies of the field at the other end of the spectrum. The articles presented cover the contributions of computational logic to databases and artificial intelligence with particular emphasis on automated reasoning, reasoning about actions and change, natural languages, and learning. Together with its companion volume, LNAI 2408, this book commemorates the 60th birthday of Bob Kowalski as one of the founders of and contributors to computational logic.
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