Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation

In this article, we present a simple agent which learns an internal representation of space without a priori knowledge of its environment, body, or sensors. The learned environment is seen as an internal space representation. This representation is isomorphic to the group of transformations applied...

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Main Authors: Gurvan Le Clec’H, Bruno Gas, J. Kevin O’Regan
Format: Article
Language:English
Published: SAGE Publishing 2016-11-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881416675134
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spelling doaj-279ede398bff4af9963047fc8544bf792020-11-25T03:19:21ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142016-11-011310.1177/172988141667513410.1177_1729881416675134Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensationGurvan Le Clec’H0Bruno Gas1J. Kevin O’Regan2 Institut des Systemes Intelligents et de Robotique, Paris, France Institut des Systemes Intelligents et de Robotique, Paris, France Laboratoire Psychologie de la Perception - CNRS Université Paris Descartes, Paris, FranceIn this article, we present a simple agent which learns an internal representation of space without a priori knowledge of its environment, body, or sensors. The learned environment is seen as an internal space representation. This representation is isomorphic to the group of transformations applied to the environment. The model solves certain theoretical and practical issues encountered in previous work in sensorimotor contingency theory. Considering the mathematical description of the internal representation, analysis of its properties and simulations, we prove that this internal representation is equivalent to knowledge of space.https://doi.org/10.1177/1729881416675134
collection DOAJ
language English
format Article
sources DOAJ
author Gurvan Le Clec’H
Bruno Gas
J. Kevin O’Regan
spellingShingle Gurvan Le Clec’H
Bruno Gas
J. Kevin O’Regan
Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
International Journal of Advanced Robotic Systems
author_facet Gurvan Le Clec’H
Bruno Gas
J. Kevin O’Regan
author_sort Gurvan Le Clec’H
title Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
title_short Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
title_full Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
title_fullStr Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
title_full_unstemmed Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
title_sort acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2016-11-01
description In this article, we present a simple agent which learns an internal representation of space without a priori knowledge of its environment, body, or sensors. The learned environment is seen as an internal space representation. This representation is isomorphic to the group of transformations applied to the environment. The model solves certain theoretical and practical issues encountered in previous work in sensorimotor contingency theory. Considering the mathematical description of the internal representation, analysis of its properties and simulations, we prove that this internal representation is equivalent to knowledge of space.
url https://doi.org/10.1177/1729881416675134
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AT jkevinoregan acquisitionofaspacerepresentationbyanaiveagentfromsensorimotorinvarianceandproprioceptivecompensation
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