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Logics for computer and data sciences, and artificial intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Logics for computer and data sciences, and artificial intelligenceby Lech T. Polkowski.
Author:	Polkowski, Lech T.
Published:	Cham :Springer International Publishing :2022.
Description:	xviii, 362 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer logic.
Online resource:	https://doi.org/10.1007/978-3-030-91680-0
ISBN:	9783030916800$q(electronic bk.)

Logics for computer and data sciences, and artificial intelligence
Polkowski, Lech T.

Logics for computer and data sciences, and artificial intelligence[electronic resource] /by Lech T. Polkowski. - Cham :Springer International Publishing :2022. - xviii, 362 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 9921860-9503 ;. - Studies in computational intelligence ;v. 216..

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.

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.

ISBN: 9783030916800$q(electronic bk.)

Standard No.: 10.1007/978-3-030-91680-0doiSubjects--Topical Terms:

199471
Computer logic.

LC Class. No.: QA76.9.L63 / P65 2022

Dewey Class. No.: 005.1015113

Logics for computer and data sciences, and artificial intelligence
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245 1 0 $a Logics for computer and data sciences, and artificial intelligence $h [electronic resource] / $c by Lech T. Polkowski.
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300 $a xviii, 362 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 992
505 0 $a 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.
520 $a 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.
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650 0 $a Artificial intelligence. $3 194058
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)