Argumentation: Reasoning Universalis

• Autorzy: Antonis Kakas
• Języki publikacji: EN

Abstrakty

EN

Can argumentation form the basis for any form of reasoning, informal or formal logical reasoning? We examine this question from the particular perspective of the recent developments in logic-based Artificial Intelligence (AI). We propose that argumentation provides the wider framework encompassing uniformly all reasoning, with strict or formal logical reasoning being a special boundary case. We also attempt to link this unifying role of argumentation with Aristotle's original investigation of methods and formalisms for the systematic study of human reasoning. (original abstract)

Słowa kluczowe

EN

Logic; Artificial intelligence; Strategic thinking

PL

Logika; Sztuczna inteligencja; Myślenie strategiczne

• Czasopismo: Studia Humana
• Rocznik: 2022
• Tom: 11(3-4)
• Strony: 6--17

Twórcy

autor

Antonis Kakas

• University of Cyprus

Bibliografia

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• Diakidoy, I.A., Kakas, A.C., Michael, L. and Miller, R. Story comprehension through argumentation. In Simon Parsons, Nir Oren, Chris Reed, and Federico Cerutti, editors, Computational Models of Argument - Proceedings of COMMA 2014, Scottish Highlands, UK, volume 266 of Frontiers in Artificial Intelligence and Applications, 2014, pp. 31-42, IOS Press.
• Diakidoy I.A., Michael, L. and Kakas, A.C. Knowledge activation in story comprehension. The Journal of Cognitive Science, 18, 2017, pp. 439-471.
• Diakidoy I. A., Michael, L., Kakas, A.C. and Miller, R. Story Comprehension through Argumentation. In Proceedings of the 5th International Conference on Computational Models of Argument (COMMA), 2014, pp. 31-42, IOS Press.
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• Dietz, E. and Kakas, A.C. Cognitive argumentation and the selection task. In Proceedings of the Annual Meeting of the Cognitive Science Society, 43, 2021, pp. 1588-1594, https://escholarship.org/uc/item/4n0867c7, 2021.
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• Kakas, A. C. and Mancarella, P. On the Semantics of Abstract Argumentation. Journal of Logic and Computation, 23 (5), 2013, pp.991-1015.
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Identyfikatory

DOI

10.2478/sh-2022-0011