Skip to Main content Skip to Navigation
Conference papers

Qualifying Causes as Pertinent

Giovanni Sileno 1, 2 J-L. Dessalles 3, 4
1 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
2 IDS - Département Images, Données, Signal
3 DIG - Data, Intelligence and Graphs
LTCI - Laboratoire Traitement et Communication de l'Information
4 INFRES - Département Informatique et Réseaux
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
Document type :
Conference papers
Complete list of metadata
https://hal.telecom-paris.fr/hal-02287948
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 5:31:42 PM
Last modification on : Tuesday, September 21, 2021 - 2:16:04 PM

Identifiers

  • HAL Id : hal-02287948, version 1

Collections

LTCI | PARISTECH | INSTITUT-TELECOM | INFRES | IDS | DIG | IMAGES

Citation

Giovanni Sileno, J-L. Dessalles. Qualifying Causes as Pertinent. 40th Annual Conference of the Cognitive Science Society, Jul 2018, Madison, WI, United States. pp.2488-2493. ⟨hal-02287948⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

83