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

Autor: Gurvan Le Clec’H, Bruno Gas, J. Kevin O’Regan
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Advanced Robotic Systems, Vol 13 (2016)
Druh dokumentu: article
ISSN: 1729-8814
17298814
DOI: 10.1177/1729881416675134
Popis: 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.
Databáze: Directory of Open Access Journals