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Studying How Innate Motivations Can Drive Skill Acquisition in Cognitive Robots
(MDPI, 2019)
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 ...
Perceptual Generalization and Context in a Network MemoryInspired Long-Term Memory for Artificial Cognition
(World Scientific Publishing Company, 2019)
Abstract: In the framework of open-ended learning cognitive architectures for robots, this paper deals with thedesign of a Long-Term Memory (LTM) structure that can accommodate the progressive acquisition ofexperience-based ...
Aplicación de Deep Learning al aprendizaje de modelos en robótica cognitiva
(Tecnológica de Costa Rica, 2020-05)
[Resumen] El tipo de entrenamiento utilizado para una red neuronal artificial va a depender de factores como: disponibilidad de datos, tiempo de entrenamiento, recursos de hardware disponibles, entre otros. Los entrenamientos ...