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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2016-11-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/1729881416675134 |
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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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