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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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Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

TL;DR: It is argued that the ability to imagine out-of-distribution goals is key to enable creative discoveries and open-ended learning, and Imagine, an intrinsically motivated deep reinforcement learning architecture that models this ability is introduced.
Journal ArticleDOI

Development of artificial empathy

TL;DR: An introduction to affective developmental robotics as a part of cognitive developmental robotics focusing on the affective aspects and future issues involved in the development of a more authentic form of artificial empathy are discussed.
Journal ArticleDOI

Robots Learn to Recognize Individuals from Imitative Encounters with People and Avatars

TL;DR: These experiments using robots as tools for modeling human cognitive development, based on developmental theory, confirm the promise of developmental robotics and illustrate how person recognition may emerge through imitative experience, intercorporeal mapping, and statistical learning.
Posted Content

Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey

TL;DR: A typology of methods where deep RL algorithms are trained to tackle the developmental robotics problem of the autonomous acquisition of open-ended repertoires of skills is proposed at the intersection of deep RL and developmental approaches.
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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