Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops

Benoît Girard (1, 2) , David Filliat (3) , Jean-Arcady Meyer (1) , Alain Berthoz (2) , Agnès Guillot (1)

1 Animatlab
2 LPPA - Laboratoire de Physiologie de la Perception et de l'Action
3 Centre Technique d'Arcueil

This article describes a biomimetic control architecture affording an animat both action selection and navigation functionalities. It satisfies the survival constraint of an artificial metabolism and supports several complementary navigation strategies. It builds upon an action selection model based on the basal ganglia of the vertebrate brain, using two interconnected cortico-basal ganglia-thalamo-cortical loops: a ventral one concerned with appetitive actions and a dorsal one dedicated to consummatory actions. The performances of the resulting model are evaluated in simulation. The experiments assess the prolonged survival permitted by the use of high level navigation strategies and the complementarity of navigation strategies in dynamic environments. The correctness of the behavioral choices in situations of antagonistic or synergetic internal states are also tested. Finally, the modelling choices are discussed with regard to their biomimetic plausibility, while the experimental results are estimated in terms of animat adaptivity.

Mots clés: action selection; navigation; basal ganglia; computational neuroscience

Domaines: Neurosciences; Intelligence artificielle [cs.AI]; Recherche opérationnelle [math.OC]

Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot. Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops. Adaptive Behavior, 2005, 13 (2), pp.115-130. ⟨10.1177/105971230501300204⟩. ⟨hal-00016389⟩