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2016 | OriginalPaper | Chapter

5. Social Development of Artificial Cognition

Authors : Tony Belpaeme, Samantha Adams, Joachim de Greeff, Alessandro di Nuovo, Anthony Morse, Angelo Cangelosi

Published in: Toward Robotic Socially Believable Behaving Systems - Volume I

Publisher: Springer International Publishing

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Abstract

Recent years have seen a growing interest in applying insights from developmental psychology to build artificial intelligence and robotic systems. This endeavour, called developmental robotics, not only is a novel method of creating artificially intelligent systems, but also offers a new perspective on the development of human cognition. While once cognition was thought to be the product of the embodied brain, we now know that natural and artificial cognition results from the interplay between an adaptive brain, a growing body, the physical environment and a responsive social environment. This chapter gives three examples of how humanoid robots are used to unveil aspects of development, and how we can use development and learning to build better robots. We focus on the domains of word-meaning acquisition, abstract concept acquisition and number acquisition, and show that cognition needs embodiment and a social environment to develop. In addition, we argue that Spiking Neural Networks offer great potential for the implementation of artificial cognition on robots.

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Footnotes
1
SNARC, spatial-numerical association of response codes, is the effect whereby quantities seem to be spatially organised. People respond faster to small numbers with their left hand, and respond faster to large numbers with their right hand.
 
2
Not to be confused with the Extended Mind hypothesis, in which cognition is argued to extend to the external world. As such external objects, such as canes, notepads and calculators, are seen as being integral to human cognition [21].
 
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Metadata
Title
Social Development of Artificial Cognition
Authors
Tony Belpaeme
Samantha Adams
Joachim de Greeff
Alessandro di Nuovo
Anthony Morse
Angelo Cangelosi
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-31056-5_5

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