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Computational modeling of the learning of disjoint contingencies

Units : Consciousness, Cognition & Computation Group | ULB484

Description :

This project aims at exploring the mechanisms that drive learning of disjoint contingencies (such as, for instance, involved in
learning about number agreement between the head and the verb of a sentence, where the head and the verb are separated by several
other words) in sequence learning and artificial grammar studies. 

List of lessors :

  • F.R.S.-FNRS et Fonds associés (hors FRIA)

  • Financement de base institutionnel