UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A Model-based Theorem Prover for Epistemic Graphs for Argumentation

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. Green open access

[thumbnail of Hunter_A Model-based Theorem Prover for Epistemic Graphs for Argumentation_AAM.pdf]
Preview
Text
Hunter_A Model-based Theorem Prover for Epistemic Graphs for Argumentation_AAM.pdf - Accepted Version

Download (463kB) | Preview

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
Downloads since deposit
33Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item