Computer science logic 22nd International Workshop, CSL 2008, 17th annual conference of the EACSL, Bertinoro, Italy, September 16-19, 2008 : proceedings by CSL 2008 (2008 Bertinoro, Italy)

Cover of: Computer science logic | CSL 2008 (2008 Bertinoro, Italy)

Published by Springer in Berlin, New York .

Written in English

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  • Computer logic -- Congresses

Edition Notes

Includes bibliographical references and index.

Book details

Other titlesCSL 2009
StatementMichael Kaminski, Simone Martini (eds.).
SeriesLecture notes in computer science -- 5213, LNCS sublibrary
ContributionsKaminski, Michael., Martini, Simone., European Association for Computer Science Logic.
LC ClassificationsQA76.9.L63 C78 2008
The Physical Object
Paginationxi, 512 p. :
Number of Pages512
ID Numbers
Open LibraryOL23724529M
ISBN 103540875301
ISBN 109783540875307
LC Control Number2008934680

Download Computer science logic

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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.

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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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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. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information, whether such information is encoded as bits in a.

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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.

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