Logics for Computer and Data Sciences, and Artificial Intelligence

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English | 2022 | ISBN: 978-3-030-91680-0 | 608 Pages | PDF EPUB | 32 MB



This volume offers the reader a systematic and throughout account of branches of logic instrumental for computer science, data science and artificial intelligence. Addressed in it are propositional, predicate, modal, epistemic, dynamic, temporal logics as well as applicable in data science many-valued logics and logics of concepts (rough logics). It offers a look into second-order logics and approximate logics of parts.



The book concludes with appendices on set theory, algebraic structures, computability, complexity, MV-algebras and transition systems, automata and formal grammars.



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