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...

The book gives all interested in computer science, a deep review of relevant aspects of logic. In its scope are classical and non-classical logics. The content will be valid as well for those interested in linguistic, philosophy and many other areas of research both in humane and technical branches of science as logic permeates all genuine realms of science. The book contains a substantial part of classical results in logic like those by Gödel, Tarski, Church and Rosser as well as later developments like many-valued logics, logics for knowledge engineering, first-order logics plus...