From concrete to abstract rules : A computational sketch - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

From concrete to abstract rules : A computational sketch

Snigdha Dagar
  • Fonction : Auteur
Frédéric Alexandre
Nicolas P. Rougier

Résumé

A multi-dimensional stimulus can elicit a range of responses depending on which dimension or combination of dimensions is considered. Such selection can be implicit, providing a fast and automatic selection, or explicit, providing a slower but contextualized selection. Both forms are important but do not derive from the same processes. Implicit selection results generally from a slow and progressive learning that leads to a simple response (concrete / first-order) while explicit selection derives from a deliberative process that allows to have more complex and structured response (abstract / second-order). The prefrontal cortex (PFC) is believed to provide the ability to contextualize concrete rules that leads to the acquisition of abstract rules even though the exact mechanisms are still largely unknown. The question we address in this paper is precisely about the acquisition, the representation and the selection of such abstract rules. Using two models from the literature (PBWM and HER), we explain that they both provide a partial but differentiated answer such that their unification offers a complete picture.
Fichier principal
Vignette du fichier
B243.pdf (1.59 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03695814 , version 1 (15-06-2022)

Identifiants

  • HAL Id : hal-03695814 , version 1

Citer

Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier. From concrete to abstract rules : A computational sketch. BI 22 - The 15th International Conference on Brain Informatics, Jul 2022, Padova, Italy. ⟨hal-03695814⟩

Collections

CNRS INRIA INRIA2
136 Consultations
72 Téléchargements

Partager

Gmail Facebook X LinkedIn More