Logics for Computer and Data Sciences, and Artificial Intelligence
Polkowski, Lech T.
Logics for Computer and Data Sciences, and Artificial Intelligence by Lech T. Polkowski - 1st edition 2022 - 1 recurso en línea (XVIII, 362 páginas) 31 ilustraciones - Studies in Computational Intelligence 992 1860-9503 .
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. .
9783030916800
10.1007/978-3-030-91680-0 doi
Lógica
Inteligencia artificial
QA76.9.L63 / 2022 EB
Logics for Computer and Data Sciences, and Artificial Intelligence by Lech T. Polkowski - 1st edition 2022 - 1 recurso en línea (XVIII, 362 páginas) 31 ilustraciones - Studies in Computational Intelligence 992 1860-9503 .
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. .
9783030916800
10.1007/978-3-030-91680-0 doi
Lógica
Inteligencia artificial
QA76.9.L63 / 2022 EB