Measuring the Impact of Arguments on Admissibility in Abstract Argumentation
| Authors |
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| Publication date | 2024 |
| Host editors |
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| Book title | Computational Models of Argument |
| Book subtitle | Proceedings of COMMA 2024 |
| ISBN |
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| ISBN (electronic) |
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| Series | Frontiers in Artificial Intelligence and Applications |
| Event | 2024 International Conference on Computational Models of Argument, COMMA 2024 |
| Pages (from-to) | 145-156 |
| Number of pages | 12 |
| Publisher | Amsterdam: IOS Press |
| Organisations |
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| Abstract |
This paper develops a measure of the influence of individual arguments in abstract argumentation frameworks. By applying ideas from power indices in coalitional game theory, the proposed measure-called admissibility impact value-quantifies the impact that individual arguments have on the set of admissible extensions of a given argumentation framework. It improves on existing impact measures in that it is more fine-grained and sensitive to small differences in the attack relations of argumentation frameworks. Special consideration is given to well-founded frameworks, where the improvements are particularly pronounced. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.3233/FAIA240317 |
| Other links | https://www.scopus.com/pages/publications/85217025300 |
| Downloads |
FAIA-388-FAIA240317
(Final published version)
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