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Handbook of Practical Logic and Automated Reasoning

2009-03-12 Computers
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Release : 2009-03-12
Genre : Computers
Kind : eBook
Book Rating : 575/5 ( reviews)

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Book Synopsis Handbook of Practical Logic and Automated Reasoning by : John Harrison

Download or read book Handbook of Practical Logic and Automated Reasoning written by John Harrison. This book was released on 2009-03-12. Available in PDF, EPUB and Kindle. Book excerpt: A one-stop reference, self-contained, with theoretical topics presented in conjunction with implementations for which code is supplied.

Handbook of Practical Logic and Automated Reasoning

2009-03-12 Computers
Download Handbook of Practical Logic and Automated Reasoning PDF Online Free

Author :
Release : 2009-03-12
Genre : Computers
Kind : eBook
Book Rating : 27X/5 ( reviews)

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Book Synopsis Handbook of Practical Logic and Automated Reasoning by : John Harrison

Download or read book Handbook of Practical Logic and Automated Reasoning written by John Harrison. This book was released on 2009-03-12. Available in PDF, EPUB and Kindle. Book excerpt: The sheer complexity of computer systems has meant that automated reasoning, i.e. the ability of computers to perform logical inference, has become a vital component of program construction and of programming language design. This book meets the demand for a self-contained and broad-based account of the concepts, the machinery and the use of automated reasoning. The mathematical logic foundations are described in conjunction with practical application, all with the minimum of prerequisites. The approach is constructive, concrete and algorithmic: a key feature is that methods are described with reference to actual implementations (for which code is supplied) that readers can use, modify and experiment with. This book is ideally suited for those seeking a one-stop source for the general area of automated reasoning. It can be used as a reference, or as a place to learn the fundamentals, either in conjunction with advanced courses or for self study.

Propositional Logic

1999-08-28 Computers
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Release : 1999-08-28
Genre : Computers
Kind : eBook
Book Rating : 177/5 ( reviews)

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Book Synopsis Propositional Logic by : Hans Kleine Büning

Download or read book Propositional Logic written by Hans Kleine Büning. This book was released on 1999-08-28. Available in PDF, EPUB and Kindle. Book excerpt: This account of propositional logic concentrates on the algorithmic translation of important methods, especially of decision procedures for (subclasses of) propositional logic. Important classical results and a series of new results taken from the fields of normal forms, satisfiability and deduction methods are arranged in a uniform and complete theoretic framework. The algorithms presented can be applied to VLSI design, deductive databases and other areas. After introducing the subject the authors discuss satisfiability problems and satisfiability algorithms with complexity considerations, the resolution calculus with different refinements, and special features and procedures for Horn formulas. Then, a selection of further calculi and some results on the complexity of proof procedures are presented. The last chapter is devoted to quantified boolean formulas. The algorithmic approach will make this book attractive to computer scientists and graduate students in areas such as automated reasoning, logic programming, complexity theory and pure and applied logic.

Handbook of Knowledge Representation

2008-01-08 Computers
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Release : 2008-01-08
Genre : Computers
Kind : eBook
Book Rating : 023/5 ( reviews)

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Book Synopsis Handbook of Knowledge Representation by : Frank van Harmelen

Download or read book Handbook of Knowledge Representation written by Frank van Harmelen. This book was released on 2008-01-08. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily

An Invitation to Model Theory

2019-04-18 Mathematics
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Release : 2019-04-18
Genre : Mathematics
Kind : eBook
Book Rating : 398/5 ( reviews)

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Book Synopsis An Invitation to Model Theory by : Jonathan Kirby

Download or read book An Invitation to Model Theory written by Jonathan Kirby. This book was released on 2019-04-18. Available in PDF, EPUB and Kindle. Book excerpt: Model theory begins with an audacious idea: to consider statements about mathematical structures as mathematical objects of study in their own right. While inherently important as a tool of mathematical logic, it also enjoys connections to and applications in diverse branches of mathematics, including algebra, number theory and analysis. Despite this, traditional introductions to model theory assume a graduate-level background of the reader. In this innovative textbook, Jonathan Kirby brings model theory to an undergraduate audience. The highlights of basic model theory are illustrated through examples from specific structures familiar from undergraduate mathematics, paying particular attention to definable sets throughout. With numerous exercises of varying difficulty, this is an accessible introduction to model theory and its place in mathematics.

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