Logics for Computer and Data Sciences, and Artificial Intelligence [E-Book] / by Lech T. Polkowski.
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-valu...
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| Personal Name(s): | Polkowski, Lech T., author |
| Edition: |
1st edition 2022. |
| Imprint: |
Cham :
Springer,
2022
|
| Physical Description: |
XVIII, 362 pages 31 illustrations (online resource) |
| Note: |
englisch |
| ISBN: |
9783030916800 |
| DOI: |
10.1007/978-3-030-91680-0 |
| Series Title: |
Studies in Computational Intelligence ;
992 |
| Subject (LOC): |
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| 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. . | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Engineering -- Data processing. | |
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