- Recherche et sélection de publications
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Qualifying Causes as Pertinent
- Giovanni Sileno, J-L. Dessalles #1
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Laboratoire traitement et communication de l'information (LTCI)
- Télécm ParisTech
- Institut Mines-Télécom
- Université Paris-Saclay
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- References
- 40th Annual Conference of the Cognitive Science Society, Madison, WI, USA, July 2018, pp. 2488-2493
- Abstract
Several computational methods have been proposed to
evaluate the relevance of an instantiated cause to an
observed consequence. The paper reports on an experiment
to investigate the adequacy of some of these
methods as descriptors of human judgments about
causal relevance.
- Keywords
- cognition, causalité, Kolmogorov complexity
- Category
- Paper in proceedings
- Research Area(s)
- Cognitive science/Computer science
Computer Science/Computational Complexity
Computer Science/Artificial Intelligence
Cognitive science/Psychology
- Identifier(s)
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Bibliographic key jld-18020101
- File(s)
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- Last update
- on july 25, 2018 by Jean-Louis Dessalles
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