Hunter, A;
Polberg, S;
(2019)
A Model-based Theorem Prover for Epistemic Graphs for Argumentation.
In: Kern-Isberner, G and Ognjanović, Z, (eds.)
Proceedings of Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2019.
Springer: Cham.
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Abstract
Epistemic graphs are a recent proposal for probabilistic argumentation that allows for modelling an agent’s degree of belief in an argument and how belief in one argument may influence the belief in other arguments. These beliefs are represented by probability distributions and how they affect each other is represented by logical constraints on these distributions. Within the full language of epistemic constraints, we distinguish a restricted class which offers computational benefits while still being powerful enough to allow for handling of many other argumentation formalisms and that can be used in applications that, for instance, rely on Likert scales. In this paper, we propose a model-based theorem prover for reasoning with the restricted epistemic language.
| Type: | Proceedings paper |
|---|---|
| Title: | A Model-based Theorem Prover for Epistemic Graphs for Argumentation |
| Event: | European Conference on Quantitative and Symbolic Approaches to Reasoning with Uncertainty |
| ISBN: | 978-3-030-29764-0 |
| ISBN-13: | 978-3-030-29765-7 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-29765-7_5 |
| Publisher version: | https://doi.org/10.1007/978-3-030-29765-7_5 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Probabilistic argumentation, Epistemic argumentation, Abstract argumentation |
| 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.ucl.ac.uk/id/eprint/10076705 |
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