Qualitative and quantitative conditions for the transitivity of perceived causation: Theoretical and experimental results - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Annals of Mathematics and Artificial Intelligence Année : 2012

Qualitative and quantitative conditions for the transitivity of perceived causation: Theoretical and experimental results

Résumé

If A caused B and B caused C, did A cause C? Although laypersons commonly perceive causality as being transitive, some philosophers have questioned this assumption, and models of causality in artificial intelligence are often agnostic with respect to transitivity. We consider two formal models of causation that differ in the way they represent uncertainty. The quantitative model uses a crude probabilistic definition, arguably the common core of more sophisticated quantitative definitions; the qualitative model uses a definition based on nonmonotonic consequence relations. Different sufficient conditions for the transitivity of causation are laid bare by the two models: The Markov condition on events for the quantitative model, and a so-called saliency condition (A is perceived as a typical cause of B) for the qualitative model. We explore the formal and empirical relations between these sufficient conditions, and between the underlying definitions of perceived causation. These connections shed light on the range of applicability of each model, contrasting commonsense causal reasoning (supposedly qualitative) and scientific causation (more naturally quantitative). These speculations are supported by a series of three behavioral experiments.

Dates et versions

hal-03344965 , version 1 (15-09-2021)

Identifiants

Citer

Jean-François Bonnefon, Rui da Silva Neves, Didier Dubois, Henri Prade. Qualitative and quantitative conditions for the transitivity of perceived causation: Theoretical and experimental results. Annals of Mathematics and Artificial Intelligence, 2012, 64 (2-3), pp.311--333. ⟨10.1007/s10472-012-9291-0⟩. ⟨hal-03344965⟩
36 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More