UID:
almahu_9949226662702882
Format:
XVIII, 362 p. 31 illus.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030916800
Series Statement:
Studies in Computational Intelligence, 992
Content:
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. .
Note:
Propositional logic -- First-order logic -- Propositional modal logic -- Epistemic, default and dynamic logics -- Temporal logics -- Many-valued logics -- Approximate reasoning: Rough logics -- Beyond frst-order logics.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030916794
Additional Edition:
Printed edition: ISBN 9783030916817
Additional Edition:
Printed edition: ISBN 9783030916824
Language:
English
DOI:
10.1007/978-3-030-91680-0
URL:
https://doi.org/10.1007/978-3-030-91680-0
