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The Degrees of Monotony-Dilemma in Abstract Argumentation
Kampik, Timotheus; Gabbay, Dov M.
2021In Vejnarová, Jirina; Wilson, Nic (Eds.) Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 16th European Conference, ECSQARU 2021, Prague, Czech Republic September 21-24, 2021, Proceedings
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Keywords :
Abstract argumentation; Non-monotonic reasoning; Argumentation dynamics
Abstract :
[en] In this paper, we introduce the notion of the degree of monotony to abstract argumentation, a well-established method for drawing inferences in face of conflicts in non-monotonic reasoning. Roughly speaking, the degree of monotony allows us, given an abstract argumentation semantics and an abstract argumentation framework to be as monotonic as possible, when iteratively drawing inferences and expanding the argumentation framework. However, we also show that when expanding an argumentation framework several times using so-called normal expansions, an agent may, at any given step, select a conclusion that has the highest degree of monotony w.r.t. the previous conclusion (considering the constraints of the semantics), but end up with a conclusion that has a suboptimal degree of monotony w.r.t. one or several conclusions that precede the previous conclusion. We formalize this observation as the degrees of monotony-dilemma.
Disciplines :
Computer science
Author, co-author :
Kampik, Timotheus
Gabbay, Dov M. ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
The Degrees of Monotony-Dilemma in Abstract Argumentation
Publication date :
2021
Event name :
16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021)
Event date :
from 21-9-2021 to 24-9-2021
Audience :
International
Main work title :
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 16th European Conference, ECSQARU 2021, Prague, Czech Republic September 21-24, 2021, Proceedings
Author, co-author :
Vejnarová, Jirina
Wilson, Nic
Publisher :
Springer
Collection name :
Lecture Notes in Computer Science
Pages :
89--102
Peer reviewed :
Peer reviewed
Commentary :
12897
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since 23 January 2022

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