Logics for Computer Science: Classical and Non-Classical

Author:   Anita Wasilewska
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
ISBN:  

9783319925905


Pages:   535
Publication Date:   13 November 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Logics for Computer Science: Classical and Non-Classical


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Overview

Providing an in-depth introduction to fundamental classical and non-classical logics, this textbook offers a comprehensive survey of logics for computer scientists. Logics for Computer Science contains intuitive introductory chapters  explaining the  need for logical investigations, motivations for different types of logics  and some of their history. They are followed by strict  formal approach chapters. All chapters contain many detailed examples explaining each of the introduced notions and definitions, well chosen sets of exercises with carefully written solutions, and sets of homework.  While many logic books are available, they were written by logicians for  logicians, not for computer scientists. They usually choose one particular way of presenting the material and use a specialized language. Logics for Computer Science discusses Gentzen as well as Hilbert formalizations, first order theories, the Hilbert Program, Godel's  first and second incompleteness theorems and their proofs. It also introduces and discusses some many valued logics, modal logics and introduces algebraic models  for classical, intuitionistic, and modal S4 and  S5 logics. The theory of computation is based on concepts defined by logicians and mathematicians. Logic plays a fundamental role in computer science, and this book explains the basic theorems, as well as different techniques of proving them in classical and some non-classical logics. Important applications derived from concepts of logic for computer technology include Artificial Intelligence and Software Engineering. In addition to Computer Science, this book may also find an audience in mathematics and philosophy courses, and some of the chapters are also useful for a course in Artificial Intelligence. 

Full Product Details

Author:   Anita Wasilewska
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Weight:   1.233kg
ISBN:  

9783319925905


ISBN 10:   3319925903
Pages:   535
Publication Date:   13 November 2018
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

This textbook is intended to serve as a first introduction to logic for undergraduate students, especially for those majoring in computer science or a related field. ... The text is very reader-friendly, with plenty of explanations. ... The problems will provide readers with ample opportunity to hone their skills. (Katalin Bimbo, Mathematical Reviews, October, 2019)


“This textbook is intended to serve as a first introduction to logic for undergraduate students, especially for those majoring in computer science or a related field. … The text is very reader-friendly, with plenty of explanations. … The problems will provide readers with ample opportunity to hone their skills.” (Katalin Bimbó, Mathematical Reviews, October, 2019)


Author Information

Professor Anita Wasilewska has been teaching a ""logic for computer science"" class for many years, using presentation slides for ease of comprehension. She earned her Master Degree in Computer Science and Ph.D. in Mathematics from Warsaw University, where she consequently was a faculty of the Mathematics Department from 1967 to 1983. She came to the United States in 1980 as a visiting Assistant Professor in Mathematics at Wesleyan and Yale Universities in Connecticut, before joining Stony Brook’s Department of Computer Science in 1986. She has also published papers, books, and edited books in many domains ranging from Classical and Non-Classical Logics, Automated Theorem Proving, Formal Languages, Theory of Programs, Foundations of Rough Sets in which she was one of the pioneers, to generalized Fuzzy and Rough sets, and Machine Learning. 

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