| 書目名稱 | Logics for Computer and Data Sciences, and Artificial Intelligence | | 編輯 | Lech T. Polkowski | | 視頻video | http://file.papertrans.cn/589/588174/588174.mp4 | | 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 | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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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