UID:
almahu_9949226662702882
Umfang:
XVIII, 362 p. 31 illus.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783030916800
Serie:
Studies in Computational Intelligence, 992
Inhalt:
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. .
Anmerkung:
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
Weitere Ausg.:
Printed edition: ISBN 9783030916794
Weitere Ausg.:
Printed edition: ISBN 9783030916817
Weitere Ausg.:
Printed edition: ISBN 9783030916824
Sprache:
Englisch
DOI:
10.1007/978-3-030-91680-0
URL:
https://doi.org/10.1007/978-3-030-91680-0
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