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Journal ArticleDOI

Cognitive Developmental Robotics: A Survey

TLDR
Cognitive developmental robotics aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions through interactions with the environment, including other agents.
Abstract
Cognitive developmental robotics (CDR) aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions. The core idea of CDR is ldquophysical embodimentrdquo that enables information structuring through interactions with the environment, including other agents. The idea is shaped based on the hypothesized development model of human cognitive functions from body representation to social behavior. Along with the model, studies of CDR and related works are introduced, and discussion on the model and future issues are argued.

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Proceedings ArticleDOI

Modulation Based Transfer Learning of Motivational Cues in Developmental Robotics

TL;DR: This paper proposes a modulation-based approach to the adaptation of the robot’s experience, in the form of previously obtained ANN based utility models, to new situations, and shows the increase in efficiency of the utility model learning in real time.
Journal ArticleDOI

Interaction Histories and Short Term Memory: Enactive Development of Turn-taking Behaviors in a Childlike Humanoid Robot

TL;DR: In this article, an enactive architecture is described that allows a humanoid robot to learn to compose simple actions into turn-taking behaviours while playing interaction games with a human partner, where the robot's action choices are reinforced by social feedback from the human in the form of visual attention and measures of behavioural synchronisation.
Proceedings ArticleDOI

A review on robot learning and controlling: imitation learning and human-computer interaction

TL;DR: The definition of action-based imitation, and the control strategy for imitation learning are addressed, and human-robot physical interaction and multi-modal interaction are emphasized.
Journal ArticleDOI

Prediction Error-Driven Memory Consolidation for Continual Learning: On the Case of Adaptive Greenhouse Models

TL;DR: In this paper, an adaptive architecture that performs online learning and faces catastrophic forgetting issues by means of an episodic memory system and of prediction error driven memory consolidation is presented, where memories are retained depending on their congruence with the prior knowledge stored in the system.
Journal ArticleDOI

Self-Regulation Mechanism: A Principle for Continual Autonomous Learning in Open-Ended Environments

TL;DR: In this article, a self-regulated learning mechanism is proposed to guide the learning process of an agent in an open-ended environment, where the agent self-develops an internal model that properly describes the hidden structure behind its experience.
References
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Journal ArticleDOI

A Neural Substrate of Prediction and Reward

TL;DR: Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control.
Journal ArticleDOI

The Attention System of the Human Brain

TL;DR: Illustration de trois fonctions principales qui sont predominantes dans l'etude de l'intervention de l'sattention dans les processus cognitifs: 1) orientation vers des evenements sensoriels; 2) detection des signaux par processus focal; 3) maintenir la vigilance en etat d'alerte
Book

The construction of reality in the child

Jean Piaget
TL;DR: In this paper, the authors make a distinction between simple temporal displacements in extension due to the repetition of primitive processes on the occasion of new problems analogous to old ones, and the temporal displacement in comprehension due to a transition from one plane of activity to another; that is, from the plane of action to that of representation.
Journal ArticleDOI

Statistical Learning by 8-Month-Old Infants

TL;DR: The present study shows that a fundamental task of language acquisition, segmentation of words from fluent speech, can be accomplished by 8-month-old infants based solely on the statistical relationships between neighboring speech sounds.
Book

Rhythms of the brain

TL;DR: The brain's default state: self-organized oscillations in rest and sleep, and perturbation of the default patterns by experience.
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