Computer science logic 12th international workshop, CSL "98 : annual conference of the EACSL, Brno, Czech Republic, August, 1998 : proceedings by Workshop on Computer Science Logic (12th 1998 Brno, Czech Republic)

Cover of: Computer science logic | Workshop on Computer Science Logic (12th 1998 Brno, Czech Republic)

Published by Springer in Berlin, New York .

Written in English

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  • Computer logic -- Congresses

Edition Notes

Includes bibliographical references.

Book details

StatementGeorg Gottlob, Etienne Grandjean, Katrin Seyr (eds.)
SeriesLecture notes in computer science -- 1584
ContributionsGottlob, G., Grandjean, E., Seyr, Katrin.
LC ClassificationsQA76.9.L63 W67 1998
The Physical Object
Paginationxv, 429 p. :
Number of Pages429
ID Numbers
Open LibraryOL15465133M
ISBN 103540659226
LC Control Number99030760

Download Computer science logic

The aim of this book is to give students of computer science a working knowledge of the relevant parts of logic. It is not intended to be a review of applications of logic in computer science, neither is it primarily intended to be a first course in logic for students of mathematics or philosophy, although we believe that.

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Jul 14,  · Logic in Computer Science: Modelling and Reasoning about Systems [Michael Huth] on *FREE* shipping on qualifying offers. The second edition of this successful textbook continues to provide a clear introduction to formal reasoning relevant to the needs of modern computer science and sufficiently exacting for practical applications/5(9).

This book started from the premise that Computer Science should be taught as a liberal art, not an industrial skill. I had the privilege of taking from Gerry Sussman when I was a first year student at MIT, and that course awakened me to the power and beauty of computing, and inspired me to.

I would avoid the book approach, as it is absolutely not mandatory, particularly in these two fields. As far as logic goes, a quick read to the logic in CS page on wikipedia and (much) practice using logic operators in your favourite language(s).

computer science need not be taught the full generality of uncountable structures. Fortunately (as shown by Raymond M. Smullyan), tableaux provide an elegant way to teach mathematical logic that is both theoretically sound and yet sufficiently ele-mentary for the undergraduate.

Audience The book is intended for undergraduate computer science. Dec 28,  · 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. An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory. Computer scientists use logic for testing and verification of software and digital circuits, but many computer science students study logic only in the context of traditional mathematics, encountering the subject in a few lectures and a.

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Long before a child can program the next Facebook, they must understand Boolean Logic. Boolean Logic is built on the primitives AND, OR, and NOT.

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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 For a more advanced treatment, we suggest Mathematics for Computer Science, the book-length lecture notes for the MIT course of the same name.

That course’s video lectures are also freely available, and are our recommended video lectures for discrete math. Fundamental Proof Methods in Computer Science is well thought out and carefully written.

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Computer science is considered by some to have a much closer relationship with mathematics than many scientific disciplines, with some observers saying that computing is a. Computer science is the scientific and practical approach to computation and its applications.

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Science of Logic (SL; German: Wissenschaft der Logik, WdL), first published between andis the work in which Georg Wilhelm Friedrich Hegel outlined his vision of's logic is a system of dialectics, i.e., a dialectical metaphysics: it is a development of the principle that thought and being constitute a single and active unity.

Logic in Computer Science modelling and reasoning about systems. Michael Huth and Mark Ryan; pages (2nd edition). This book contains a carefully refereed selection of papers presented at the Annual Conference of the European Association for Computer Science Logic, CSL '95, held in Paderborn, Germany, in September The 27 revised full papers included were selected after two rounds of reviewing from a.

The second paper, “The Development of Multiple-valued Logic as Related to Computer Science,” shows that the development of multiple-valued logic is contemporaneous with the computer age and is related to computer science, where there is a well established connection of 2.

E-Book Review and Description: 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.

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. Computer science, the study of computers and computing, including their theoretical and algorithmic foundations, hardware and software, and their uses for processing information.

The discipline of computer science includes the study of algorithms and data structures and artificial intelligence. Feb 08,  · The Logic Book, 6th Edition by Merrie Bergmann and James Moor and Jack Nelson () Preview the textbook, purchase or get a FREE instructor-only desk Edition: 6.

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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.

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When making a natural deduction proof in the exam you are allowed to use any of the rules presented in page 27 of the book plus the introduction and elimination rules for both the universal and existential quantifiers, unless it is stated otherwise in an exercise.

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