Bodanza, Gustavo Adrián (2015) Abstract Argumentation in Artificial Intelligence. Problems of Interpretation and Adequacy of Semantics for Decision Making. THEORIA. An International Journal for Theory, History and Foundations of Science, 30 (3). pp. 395-414. ISSN 2171-679X
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Abstract
The abstract argumentation frameworks model is currently the most used tool for characterizing the justification of defeasible arguments in Artificial Intelligence. Justifications are determined on a given attack relation among arguments and are formalized as extension semantics. In this work we argue that, contrariwise to the assumptions in that model, either some argumentation frameworks are meaningless under certain concrete definitions of the attack relation, or some of the most used extension semantics in the literature, based on the defense notion of admissibility, are not suitable in particular for the justification of arguments for decision making.
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| Item Type: | Published Article or Volume | ||||||
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| Additional Information: | ISSN: 0495-4548 (print) | ||||||
| Keywords: | abstract argumentation; Artificial Intelligence; attack relations; decision making | ||||||
| Subjects: | Specific Sciences > Artificial Intelligence General Issues > Decision Theory |
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| Depositing User: | Unnamed user with email theoria@ehu.es | ||||||
| Date Deposited: | 08 Jun 2016 19:36 | ||||||
| Last Modified: | 08 Jun 2016 19:36 | ||||||
| Item ID: | 12158 | ||||||
| Journal or Publication Title: | THEORIA. An International Journal for Theory, History and Foundations of Science | ||||||
| Publisher: | Euskal Herriko Unibertsitatea / Universidad del País Vasco | ||||||
| Official URL: | http://www.ehu.eus/ojs/index.php/THEORIA/article/v... | ||||||
| DOI or Unique Handle: | 10.1387/theoria.13150 | ||||||
| Subjects: | Specific Sciences > Artificial Intelligence General Issues > Decision Theory |
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| Date: | September 2015 | ||||||
| Page Range: | pp. 395-414 | ||||||
| Volume: | 30 | ||||||
| Number: | 3 | ||||||
| ISSN: | 2171-679X | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/12158 |
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