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<div class="csl-entry">Pfeifer, N., & Fermüller, C. G. (2022). Probabilistic interpretations of argumentative attacks: Logical and experimental results. <i>Argument & Computation</i>, 1–33. https://doi.org/10.34726/3521</div>
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dc.identifier.issn
1946-2166
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/152306
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dc.identifier.uri
https://doi.org/10.34726/3521
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dc.description
This work is a substantially expanded version of a contribution presented at the 11th Workshop on Uncertainty Processing (WUPES 2018), Trebon, Czech Republic.
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dc.description.abstract
We present an interdisciplinary approach to argumentation combining logical, probabilistic, and psychological perspectives. We investigate logical attack principles which relate attacks among claims with logical form. For example, we consider the principle that an argument that attacks another argument claiming A triggers the existence of an attack on an argument featuring the stronger claim A∧B. We formulate a number of such principles pertaining to conjunctive, disjunctive, negated, and implicational claims. Some of these attack principles seem to be prima facie more plausible than others. To support this intuition, we suggest an interpretation of these principles in terms of coherent conditional probabilities. This interpretation is naturally generalized from qualitative to quantitative principles. Specifically, we use our probabilistic semantics to evaluate the rationality of principles which govern the strength of argumentative attacks. In order to complement our theoretical analysis with an empirical perspective, we present an experiment with students of the TU Vienna (n=139) which explores the psychological plausibility of selected attack principles. We also discuss how our qualitative attack principles relate to well-known types of logical argumentation frameworks. Finally, we briefly discuss how our approach relates to the computational argumentation literature.
en
dc.language.iso
en
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dc.publisher
IOS Press
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dc.relation.ispartof
Argument & Computation
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dc.rights.uri
http://creativecommons.org/licenses/by-nc/4.0/
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dc.subject
argumentative attacks
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dc.subject
coherence
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dc.subject
psychological experiment
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dc.subject
logical argumentation
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dc.subject
probabilistic reasoning
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dc.subject
rationality principles
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dc.title
Probabilistic interpretations of argumentative attacks: Logical and experimental results
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Attribution-NonCommercial 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Nicht kommerziell 4.0 International