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Communication Dans Un Congrès Année : 2018

Qualifying Causes as Pertinent

Résumé

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.
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Dates et versions

hal-02287948 , version 1 (13-09-2019)

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  • HAL Id : hal-02287948 , version 1

Citer

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