Abstract
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.
Original language | English |
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Title of host publication | Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 16th European Conference, ECSQARU 2021, Proceedings |
Editors | Jirina Vejnarová, Nic Wilson |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 89-102 |
Number of pages | 14 |
ISBN (Print) | 9783030867713 |
DOIs | |
State | Published - 2021 |
Event | 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021 - Prague, Czech Republic Duration: 21 Sep 2021 → 24 Sep 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12897 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 21/09/21 → 24/09/21 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Funding
Acknowledgments. We thank the anonymous reviewers for their thoughtful and useful feedback. This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.
Funders | Funder number |
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Knut och Alice Wallenbergs Stiftelse |
Keywords
- Abstract argumentation
- Argumentation dynamics
- Non-monotonic reasoning