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Logics for Computer Science : Classical and Non-Classical
Anita Wasilewska
Springer (2018)
Kovakantinen kirja
117,20
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Data Mining: Foundations and Practice
Tsau Young Lin; Ying Xie; Anita Wasilewska; Churn-Jung Liau
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2008)
Kovakantinen kirja
172,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Data Mining: Foundations and Practice
Tsau Young Lin; Ying Xie; Anita Wasilewska; Churn-Jung Liau
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010)
Pehmeäkantinen kirja
172,80
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Logics for Computer Science : Classical and Non-Classical
117,20 €
Springer
Sivumäärä: 535 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2018, 13.11.2018 (lisätietoa)
Kieli: Englanti
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. 





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