Hunter, A;
Thimm, M;
(2016)
On Partial Information and Contradictions in
Probabilistic Abstract Argumentation.
In:
Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR 2016).
(pp. pp. 53-62).
Association for the Advancement of Artificial Intelligence: Cape Town, South Africa.
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Abstract
We provide new insights into the area of combining abstract argumentation frameworks with probabilistic reasoning. In particular, we consider the scenario when assessments on the probabilities of a subset of the arguments is given and the probabilities of the remaining arguments have to be derived, taking both the topology of the argumentation framework and principles of probabilistic reasoning into account. We generalize this scenario by also considering inconsistent assessments, i. e., assessments that contradict the topology of the argumentation framework. Building on approaches to inconsistency measurement, we present a general framework to measure the amount of conflict of these assessments and provide a method for inconsistent-tolerant reasoning.
Type: | Proceedings paper |
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Title: | On Partial Information and Contradictions in Probabilistic Abstract Argumentation |
Event: | 15th International Conference on Principles of Knowledge Representation and Reasoning (KR 2016) |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://dl.acm.org/citation.cfm?id=3032027&picked=... |
Language: | English |
Additional information: | Copyright © 2016 Association for the Advancement of Artificial Intelligence. All Rights Reserved. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1492990 |
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