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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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Citations
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Journal ArticleDOI

Modeling Development of Multimodal Emotion Perception Guided by Tactile Dominance and Perceptual Improvement

TL;DR: A neural network model is presented that reproduces the developmental process of emotion perception through an infant–caregiver interaction that comprises hierarchically structured restricted Boltzmann machines that receive multimodal expressions from a caregiver and learn to estimate her/his emotional states.
Journal ArticleDOI

A Multi-Modal Person Recognition System for Social Robots

TL;DR: The paper presents a solution to the problem of person recognition by social robots via a novel brain-inspired multi-modal perceptual system that employs spiking neural network to integrate face, body features, and voice data to recognize a person in various social human-robot interaction scenarios.
Proceedings ArticleDOI

A developmental Bayesian model of trust in artificial cognitive systems

TL;DR: This work shows how a probabilistic framework based on Bayesian Networks (BNs) can incorporate the reliability of information sources into the decisional process of artificial systems and gains some insight on how children estimate people's reliability.
Book ChapterDOI

Symbiotic Wearable Robotic Exoskeletons: The Concept of the BioMot Project

TL;DR: The research that is conducted to enable positive co-adaptation and more seamless interaction of humans and WRs is presented and a cognitive architecture for WRs exploiting neuronal control and learning mechanisms is proposed.
Journal ArticleDOI

Integrated Cognitive Architecture for Robot Learning of Action and Language.

TL;DR: A framework for the simultaneously comprehension of concepts, actions, and language as a first step toward this goal is proposed by integrating various cognitive modules and leveraging mainly multi-modal categorization by using multilayered multimodal latent Dirichlet allocation (mMLDA).
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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