Article (Scientific journals)
An argumentation semantics for rational human evaluation of arguments.
Cramer, Marcos; VAN DER TORRE, Leon
2023In Frontiers in Artificial Intelligence, 6, p. 1045663
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Keywords :
abstract argumentation; argumentation semantics; formal argumentation; knowledge representation; principle-based approach
Abstract :
[en] In abstract argumentation theory, many argumentation semantics have been proposed for evaluating argumentation frameworks. This article is based on the following research question: Which semantics corresponds well to what humans consider a rational judgment on the acceptability of arguments? There are two systematic ways to approach this research question: A normative perspective is provided by the principle-based approach, in which semantics are evaluated based on their satisfaction of various normatively desirable principles. A descriptive perspective is provided by the empirical approach, in which cognitive studies are conducted to determine which semantics best predicts human judgments about arguments. In this article, we combine both approaches to motivate a new argumentation semantics called SCF2. For this purpose, we introduce and motivate two new principles and show that no semantics from the literature satisfies both of them. We define SCF2 and prove that it satisfies both new principles. Furthermore, we discuss findings of a recent empirical cognitive study that provide additional support to SCF2.
Disciplines :
Computer science
Author, co-author :
Cramer, Marcos;  Institute for Artificial Intelligence, TU Dresden, Dresden, Germany
VAN DER TORRE, Leon ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
An argumentation semantics for rational human evaluation of arguments.
Publication date :
2023
Journal title :
Frontiers in Artificial Intelligence
eISSN :
2624-8212
Publisher :
Frontiers Media SA, Switzerland
Volume :
6
Pages :
1045663
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 01 May 2024

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