Functional Rule Inference from Causal Selection Explanations - Archive ouverte HAL Access content directly
Conference Papers Year : 2024

Functional Rule Inference from Causal Selection Explanations

Can Konuk
  • Function : Author
Neil R. Bramley
  • Function : Author
  • PersonId : 1381546
Salvador Mascarenhas

Abstract

Building on counterfactual theories of causal-selection, according to which humans intuitively evaluate the causal responsibility of events, we developed an experimental paradigm to examine the effect of causal-selection explanations on abductive causal inference. In our experiment, participants attempted to infer the rule responsible for winning outcomes of random draws from urns with varying sampling probabilities. Participants who were provided with causal-selection judgments as explanations for the outcomes made significantly closer inferences to the rule than those relying on observations alone, or on other explanations of causal relevance. We mirror these empirical results with a computational model of inference from explanation leveraging the theories of causal selection.
Fichier principal
Vignette du fichier
main.pdf (1 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04572408 , version 1 (10-05-2024)

Identifiers

  • HAL Id : hal-04572408 , version 1

Cite

Nicolas Navarre, Can Konuk, Neil R. Bramley, Salvador Mascarenhas. Functional Rule Inference from Causal Selection Explanations. 46th Annual Cognitive Science Society Meeting, Jul 2024, Rotterdam (NL), Netherlands. ⟨hal-04572408⟩
0 View
0 Download

Share

Gmail Facebook X LinkedIn More