Resumen de Studying How Innate Motivations Can Drive Skill Acquisition in Cognitive Robots
Alejandro Romero, Francisco Bellas, José Antonio Becerra Permuy, Richard J. Duro Fernández
In this paper, we address the problem of how to bootstrap a cognitive architecture to opportunistically start learning skills in domains where multiple skills can be learned at the same time. To this end, taking inspiration from a series of computational models of the use of motivations in infants, we propose an approach that leverages two types of cognitive motivations: exploratory and proficiency based, the latter modulated by the concept of interestingness as an implementation of attentional mechanisms. This approach is tested in an illustrative experiment with a real robot.
