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Logics for computer and data science...

Polkowski, Lech T.

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Logics for computer and data sciences, and artificial intelligence

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Logics for computer and data sciences, and artificial intelligence/ by Lech T. Polkowski.
作者:	Polkowski, Lech T.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xviii, 362 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computer logic. -
電子資源:	https://doi.org/10.1007/978-3-030-91680-0
ISBN:	9783030916800

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. 992..

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

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

840463
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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