| 书目名称 | Logics for Computer and Data Sciences, and Artificial Intelligence | | 编辑 | Lech T. Polkowski | | 视频video | | | 概述 | A comprehensive treatise of various logics, notably those that are of relevance for computer and data science.Covers basic issues concerning different logical systems, e.g. propositional logic.Include | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .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. . | | 出版日期 | Book 2022 | | 关键词 | Artificial Intelligence; Data Sciences; Data Engineering; Logics; Computational Intelligence; Proposition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-91680-0 | | isbn_softcover | 978-3-030-91682-4 | | isbn_ebook | 978-3-030-91680-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:32:26
