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Logic Programming and Nonmonotonic Reasoning: 16th International Conference, LPNMR 2022, Genova, Italy, September 5-9, 2022, Proceedings. 1st ed. 2022
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・ISBN 978-3-031-15706-6 paper EUR 73.99
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| 著者・編者 | Gottlob, Georg / Inclezan, Daniela / Maratea, Marco (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 512 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-76526＞ |
解説
This book constitutes the refereed proceedings of the 16th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR 2022, held in Genova, Italy, in September 2022.
The 34 full papers and 5 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Technical Contributions; Systems; Applications.
Statistical Statements in Probabilistic Logic Programming" and "Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Chapters "Statistical Statements in Probabilistic Logic Programming" and "Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
The 34 full papers and 5 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Technical Contributions; Systems; Applications.
Statistical Statements in Probabilistic Logic Programming" and "Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Chapters "Statistical Statements in Probabilistic Logic Programming" and "Efficient Computation of Answer Sets via SAT Modulo Acyclicity and Vertex Elimination" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.