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On Partial Information and Contradictions in Probabilistic Abstract Argumentation

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. Green open access

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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
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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