Journal ArticleDOI
Cognitive Developmental Robotics: A Survey
M. Asada,Koh Hosoda,Yasuo Kuniyoshi,Hiroshi Ishiguro,Toshio Inui,Yuichiro Yoshikawa,Masaki Ogino,C. Yoshida +7 more
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.read more
Citations
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Book ChapterDOI
Semantics: What Else?
TL;DR: In this chapter other developments will be presented, which fill in some of gaps that remain in the complexity of real language, and the models presented are not original developments of the authors, but their selection is due to their theoretical grounds and their motivations.
Book ChapterDOI
Motion Control of Smart Autonomous Mobile System Based on the Perception Model
TL;DR: The task of managing movements along a given route with obstacles by a Smart Autonomous Machine (SAM) is dealt with, on the basis of a new perception model, supporting the such cognitive functions as calculating the meaning of the space-temporal data segment from sensors, tracking the context and switching attention.
Journal ArticleDOI
Beginning of words emerges from caregiver-infant interactions -An approach from cognitive developmental robotics-
Journal ArticleDOI
Mechanical cognitivization: a kinematic system proof of concept
Gideon Avigad,Wei Li,Avi Weiss +2 more
TL;DR: The first proof that such training, termed as mechanical cognitivization (MC), would enhance the robustness of robots is given by using a kinematic system and it is shown that both MC-based schemes are superior when robustness is considered.
EvolvedMachinesShedLighton Robustness and Resilience This paper discusses the two-way interaction between brains and bodies, and the consequences for adaptive behavior, along with reviewing research that builds on insights from the neurobiology of these interactions to inform the design of evolving and adaptive robots.
Josh C. Bongard,Hod Lipson +1 more
TL;DR: In this paper, the authors review selected projects that use evolutionary methods to investigate the synergies and tradeoffs between neural architecture, morphology, action, and adaptive behavior, regardless of whether such bodies and brains are instantiated in a biological or technological substrate.
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
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.