Abstract
Gradual semantics are methods that evaluate overall strengths of individual arguments in graphs. In this paper, we investigate gradual semantics for extended frameworks in which probabilities are used to quantify the uncertainty about arguments and attacks belonging to the graph. We define the likelihoods of an argument’s possible strengths when facing uncertainty about the topology of the argumentation framework. We also define an approach to compare the strengths of arguments in this probabilistic setting. Finally, we propose a method to calculate the overall strength of each argument in the framework, and we evaluate this method against a set of principles.
| Original language | English |
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| Title of host publication | ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings |
| Editors | Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu |
| Publisher | IOS Press |
| Pages | 2186 - 2193 |
| Number of pages | 8 |
| Volume | 372 |
| ISBN (Electronic) | 9781643684369 |
| ISBN (Print) | 978-1-64368-436-9 |
| DOIs | |
| Publication status | Published - 28 Sept 2023 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
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| Volume | 372 |
| ISSN (Print) | 0922-6389 |
Bibliographical note
Publisher Copyright:© 2023 The Authors.