Rationalisation of Profiles of Abstract Argumentation Frameworks
| Authors |
|
|---|---|
| Publication date | 2017 |
| Host editors |
|
| Book title | Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-2017) |
| Book subtitle | Melbourne, Australia 19-25 August 2017 |
| ISBN (electronic) |
|
| Event | 26th International Joint Conference on Artificial Intelligence |
| Pages (from-to) | 4776-4780 |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Organisations |
|
| Abstract |
We review a recently introduced model in which each of a number of agents is endowed with an abstract argumentation framework reflecting her individual views regarding a given set of arguments. A question arising in this context is whether the diversity of views observed in such a situation is consistent with the assumption that every individual argumentation framework is induced by a combination of, first, some basic factual information and, second, the personal preferences of the agent concerned. We treat this question of rationalisability of a profile as an algorithmic problem and identify tractable and intractable cases. This is useful for understanding what types of profiles can reasonably be expected to occur in a multiagent system.
|
| Document type | Conference contribution |
| Note | Extended Abstract |
| Language | English |
| Related publication | Rationalisation of Profiles of Abstract Argumentation Frameworks |
| Published at | https://doi.org/10.24963/ijcai.2017/665 |
| Downloads |
0665
(Final published version)
|
| Permalink to this page | |
