2021
DOI: 10.3233/aac-210020
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Argumentation schemes in AI: A literature review. Introduction to the special issue

Abstract: Argumentation schemes [35,80,91] are a relatively recent notion that continues an extremely ancient debate on one of the foundations of human reasoning, human comprehension, and obviously human argumentation, i.e., the topics. To understand the revolutionary nature of Walton's work on this subject matter, it is necessary to place it in the debate that it continues and contributes to, namely a view of logic that is much broader than the formalistic perspective that has been adopted from the 20th century until n… Show more

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Cited by 5 publications
(3 citation statements)
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“…Argumentation schemes [12], a way to classify arguments according to their underlying principles of convincingness, have been influential in the argumentation theory and the artificial intelligence community [13]. They present the various types of arguments as informal deduction rules, together with accompanying critical questions, to aid a human reasoner in evaluating arguments of a particular type.…”
Section: Related Workmentioning
confidence: 99%
“…Argumentation schemes [12], a way to classify arguments according to their underlying principles of convincingness, have been influential in the argumentation theory and the artificial intelligence community [13]. They present the various types of arguments as informal deduction rules, together with accompanying critical questions, to aid a human reasoner in evaluating arguments of a particular type.…”
Section: Related Workmentioning
confidence: 99%
“…Building on the most influential model of arguments in the last decades, Abstract Argumentation Frameworks (Dung, 1995), there have been some attempts to formalize features of realistic argumentation, such as the audience (Hunter, 2015), the values that arguments promote (Bench-Capon, 2003), preferences (Amgoud and Vesic, 2014), trust (Villata et al, 2013), the argument strength (Amgoud et al, 2022), the context of argumentation (Brewka and Eiter, 2009), uncertain arguments (Hunter, 2013), commonsense arguments (Vassiliades et al, 2020), enthymemes (Black and Hunter, 2008), and persuasion dialogues (Prakken, 2009). There is also some promising research on the formalization of argumentation schemes (Verheij, 2003;Reed and Walton, 2005;Prakken et al, 2015;Wyner, 2016;Panisson et al, 2021), and more generally on the use of argumentation schemes in AI (Macagno, 2021). The study of what contributes to the persuasiveness or the quality an argument has recently started but is growing fast.…”
Section: Understanding Realistic Argumentationmentioning
confidence: 99%
“…Artificial intelligence is certainly the field that was most receptive of Walton's insights, which were used in several research trends such as multiagent systems, argument diagramming and representation, argument mining, argument assistance and decision support systems (Macagno 2021;Reed 2021). Walton has inspired ways for autonomous systems to take a step closer to represent or interpret natural dialogue.…”
Section: Extending the Boundaries Of Argumentation Theorymentioning
confidence: 99%