5 edition of **Logic from Computer Science** found in the catalog.

- 82 Want to read
- 40 Currently reading

Published
**January 1992**
by Springer
.

Written in English

The Physical Object | |
---|---|

Number of Pages | 608 |

ID Numbers | |

Open Library | OL7449496M |

ISBN 10 | 0387976671 |

ISBN 10 | 9780387976679 |

This text for the first or second year undergraduate in mathematics, logic, computer science, or social sciences, introduces the reader to logic, proofs, sets, and number theory. It also serves as an excellent independent study reference and resource for instructors. Adapted from Foundations ofBrand: Springer-Verlag New York. The paperback and hardback textbook are supplemented with an on-line tutor at Logic in Computer Science. Ancillary material for instructors and readers can be found on-line at Logic in Computer Science "About this title" may belong to another edition of this title/5(62).

Logic for Computer Science | This advanced text for undergraduate and graduate students introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs. The self-contained treatment is also useful for computer scientists and mathematically inclined readers interested in the formalization of proofs and basics of . Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of computer science students. The method of semantic tableaux provides a way to teach logic that is both theoretically sound and yet sufficiently elementary for undergraduates/5.

Induction in Computer Science 7 Inﬁnite Sets Inﬁnite Cardinality The Halting Problem The Logic of Sets Does All This Really Work? II Structures Introduction 8 Number Theory Divisibility The Greatest Common Divisor Prime Mysteries The coverage of this book is quite good for what concerns logic in computer science. However, using it as an introduction on logic for computer scientists is probably ambitious because the explanations are rather complicated for undergraduates. A first course on logic and another on AI would not hurt before getting into this one/5(14).

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By comparison, classics like Melvin Fitting's book (although advertised as a new edition is actually a reprint--First-Order Logic and Automated Theorem Proving (Texts in Computer Science)) and others are now going for hundreds of dollars, whereas Gallier is just as complete while being more current than many of those titles, especially if you visit his page and /5(4).

Logic in Computer Science: Modelling and Reasoning about Systems - Kindle edition by Huth, Michael, Ryan, Mark. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Logic in Computer Science: Modelling and Reasoning about Systems/5(9).

Logic for Computer Science: Foundations of Automatic Theorem Proving, Second Edition (Dover Books on Computer Science) - Kindle edition by Gallier, Jean H. Download it once and read it on your Kindle device, PC, phones or tablets/5(4). It gives a clear explanation about almost all the basic logics you need to know in the area of computer science, such as propositional logic, first-order logic, temporal logic and some modal logic.

A great book on the introduction of logics/5. From the Back Cover. Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of students of computer science.

The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and easy to understand/5(5). About this book. Logic and its components (propositional, first-order, non-classical) play a key role in Computer Science and Artificial Intelligence. While a large amount of information exists scattered throughout various media (books, journal articles, webpages, etc.), the diffuse nature of these sources is problematic.

The book can be used in undergraduate courses in logic for computer science and introduction to computer science and in math courses for computer science students. Logic for Computer Science: Foundations of Automatic Theorem Proving Second Edition Jean Gallier A corrected version of the original Wiley edition (pp.

), published by Dover, June Logic is the study of formal (i.e. symbolic) systems of reasoning and of methods of attaching meaning to them. So there are strong parallels between formal computer science and logic. Both involve the study of formal systems and ways of giving them meaning (semantics).

Mathematical Logic for Computer Science is a mathematics textbook, just as a ﬁrst-year calculus text is a mathematics textbook. A scientist or engineer needs more than just a facility for manipulating formulas and a ﬁrm foundation in mathematics is an excellent defense against technological obsolescence.

Adapted from Foundations of Logic and Mathematics: Applications to Science and Cryptography © Birkhӓuser, this second edition provides a modern introduction to the foundations of logic, mathematics, and computers science, developing the theory that demonstrates construction of all mathematics and theoretical computer science from logic and set theory.5/5(1).

A short summary of the contents of the book shows the remarkably wide range of material covered. The first two chapters of the book, over 40 percent of its extent, are introductory: a chapter on propositional logic and a chapter on predicate logic. They begin at the beginning, but are written with the purpose of the book in mind.

The aim of logic in computer science is to develop languages to model the situations we encounter as computer science professionals, in such a way that we can reason about them formally.

Reasoning about situations means constructing arguments about them; we want to do this formally, so that the arguments are valid and can be defended rigorously. The Handbook of Logic in Computer Science is a multi-volume work covering all the major areas of the application of logic to theoretical computer science.

It comprises six volumes, each containing five or six chapters giving an in-depth overview of one of the major topics in the field.2/5(1).

An understanding of logic is essential to computer science. This book provides a highly accessible account of the logical basis required for reasoning about computer programs and applying logic in fields like artificial intelligence. The text contains extended examples, algorithms, and programs written in Standard ML and Prolog.

Logic has been called "the calculus of computer science". science, similar to that played by calculus in the physical sciences and traditional engineering disciplines. Indeed, logic plays an important role in areas of Computer Science as disparate as.

This book discusses logic as a tool for computer science; a field that uses logic at all levels. It provides a survey of mathematical logic and its various applications. After covering basic material of propositional logic and first-order logic, the course presents the foundations of finite model theory and descriptive complexity.

The Handbook of Logic in Computer Science is a six-volume, internationally authored work which offers a comprehensive treatment of the application of logic to theoretical computer science. Each volume is comprised of an average of five page monographs and presents an in-depth overview of one of the field's major topics.3/5(1).

Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of students of computer science.

The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and easy to understand.

Download free Computer Science eBooks in pdf format or read Computer Science books online. Think Complexity, 2nd Edition is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science.

The examples and supporting code for this book are in Python. The Handbook of Logic in Computer Scienceis a six volume, internationally authored work which offers a comprehensiveLogic is now widely recognized to be one of the foundational disciplines of computing, and its applications reach almost every aspect of the subject, from software engineering and hardware to programming languages and artificial intelligence research/5(2).Theoretical foundations and analysis.

Logic plays a fundamental role in computer science. Some of the key areas of logic that are particularly significant are computability theory (formerly called recursion theory), modal logic and category theory of computation is based on concepts defined by logicians and mathematicians such as Alonzo Church and Alan Turing.Moreover, its importance in computer science has come of age (see [14] for a brief introduction to modal logic from the computer science point of view).

For instance, the monadic and computational.