Role of Kolmogorov Complexity on Interest in Moral Dilemma Stories
Autor: | Saillenfest, Antoine, Dessalles, Jean-Louis |
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Přispěvatelé: | Département Informatique et Réseaux (INFRES), Télécom ParisTech, Saillenfest, Antoine |
Jazyk: | angličtina |
Rok vydání: | 2012 |
Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
[SCCO.COMP] Cognitive science/Computer science [SCCO.PSYC] Cognitive science/Psychology narrative interest [SCCO.PSYC]Cognitive science/Psychology Kolmogorov complexity emotion [SCCO.COMP]Cognitive science/Computer science moral dilemma Social and Behavioral Sciences moral judgment [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
Zdroj: | Proceedings of the 34th Annual Conference of the Cognitive Science Society CogSci2012 CogSci2012, Aug 2012, Sapporo, Japan. pp.947-952 Saillenfest, Antoine; & Dessalles, Jean-Louis. (2012). Role of Kolmogorov Complexity on Interest in Moral Dilemma Stories. Proceedings of the Cognitive Science Society, 34(34). Retrieved from: http://www.escholarship.org/uc/item/4c614587 |
Popis: | 6 pages; International audience; Several studies have highlighted the combined role of emotions and reasoning in the determination of judgments about morality. Here we explore the influence of Kolmogorov complexity in the determination, not only of moral judgment, but also of the associated narrative interest. We designed an experiment to test the predictions of our complexity-based model when applied to moral dilemmas. It confirms that judgments about interest and morality may be explained in part by discrepancies in complexity. This preliminary study suggests that cognitive computations are involved in decision-making about emotional outcomes. |
Databáze: | OpenAIRE |
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