Identifying Intended Effects with Causal Models (Paper) - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2024

Identifying Intended Effects with Causal Models (Paper)

Résumé

The aim of this paper is to extend the framework of causal inference, in particular as it has been developed by Judea Pearl, in order to model actions and identify their intended effects, in the direction opened by Elisabeth Anscombe. We show how intentions can be inferred from a causal model and its implied correlations observable in data. The paper defines confounding effects as the reasons why teleological inference may fail and introduces interference as a way to control for them. The "fundamental problem" of teleological inference is presented, explaining why causal analysis needs an extension in order to take intentions into account.
Fichier principal
Vignette du fichier
Identifying Intended Effects with Causal Models.pdf (205.25 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04449906 , version 1 (09-02-2024)

Identifiants

Citer

Dario Compagno. Identifying Intended Effects with Causal Models (Paper). 2024. ⟨hal-04449906⟩
54 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More