Studying How Innate Motivations Can Drive Skill Acquisition in Cognitive Robots
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Studying How Innate Motivations Can Drive Skill Acquisition in Cognitive RobotsData
2019Resumo
Abstract: 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.
Palabras chave
Robótica
Robots - Sistemas de control
Robots - Sistemas de control
Descrición
This article belongs to the Proceedings of XoveTIC Conference
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Dereitos
Atribución 4.0 España
ISSN
2504-3900