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ファイル | 記述 | サイズ | フォーマット | |
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978-981-99-7019-3_44.pdf | 428.49 kB | Adobe PDF | 見る/開く |
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DCフィールド | 値 | 言語 |
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dc.contributor.author | Arisaka, Ryuta | en |
dc.contributor.author | Ito, Takayuki | en |
dc.contributor.alternative | 蟻坂, 竜太 | ja |
dc.contributor.alternative | 伊藤, 孝行 | ja |
dc.date.accessioned | 2024-02-20T02:28:52Z | - |
dc.date.available | 2024-02-20T02:28:52Z | - |
dc.date.issued | 2024 | - |
dc.identifier.isbn | 9789819970193 | - |
dc.identifier.uri | http://hdl.handle.net/2433/287047 | - |
dc.description | 20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023, Jakarta, Indonesia, November 15–19, 2023, Proceedings, Part I | en |
dc.description | Part of the Lecture Notes in Computer Science book series (LNAI, volume 14325) | en |
dc.description.abstract | We introduce argumentation tuple relational calculus, adapting tuple relational calculus for acceptability semantics, and derive relational acceptability semantics of abstract argumentation. It serves as a theoretical framework to link different types of acceptability semantics relationally. It also allows for refining existing acceptability semantics. | en |
dc.language.iso | eng | - |
dc.publisher | Springer Nature | en |
dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-981-99-7019-3_44 | en |
dc.rights | The full-text file will be made open to the public on 10 November 2024 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. | en |
dc.rights | This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | en |
dc.title | Relational Acceptability Semantics of Abstract Argumentation | en |
dc.type | conference paper | - |
dc.type.niitype | Conference Paper | - |
dc.identifier.jtitle | PRICAI 2023: Trends in Artificial Intelligence | en |
dc.identifier.spage | 487 | - |
dc.identifier.epage | 493 | - |
dc.relation.doi | 10.1007/978-981-99-7019-3_44 | - |
dc.textversion | author | - |
dcterms.accessRights | embargoed access | - |
datacite.date.available | 2024-11-10 | - |
datacite.awardNumber | 21K12028 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21K12028/ | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | 議論の形式検証を実現する論理的手法の研究 | ja |
出現コレクション: | 学術雑誌掲載論文等 |
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