Logics for Computer and Data Sciences, and Artificial Intelligence

Polkowski, Lech T.

ISBN 10: 3030916790 / ISBN 13: 9783030916794

Published by Springer, 2021

2021. Hardcover. . . . . . Books ship from the US and Ireland. Seller Inventory # V9783030916794

Synopsis:

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.

By this composition of the text, the reader obtains a self-contained  exposition that can serve as the textbook on logics and relevant disciplines as well as a reference text. 

From the Back Cover:

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.

By this composition of the text, the reader obtains a self-contained  exposition that can serve as the textbook on logics and relevant disciplines as well as a reference text. 

Bibliographic Details

Title: Logics for Computer and Data Sciences, and ...
Publisher: Springer
Publication Date: 2021
Binding: Hardcover
Condition: New