Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects.

ABSTRACT: Perceiving the surrounding environment in terms of objects is useful for any general purpose intelligent agent. In this paper, we investigate a fundamental mechanism making object perception possible, namely the identification of spatio-temporally invariant structures in the sensorimotor experience of an agent. We take inspiration from the Sensorimotor Contingencies Theory to define a computational model of this mechanism through a sensorimotor, unsupervised and predictive approach. Our model is based on processing the unsupervised interaction of an artificial agent with its environment. We show how spatio-temporally invariant structures in the environment induce regularities in the sensorimotor experience of an agent, and how this agent, while building a predictive model of its sensorimot

SUBMITTER: Le Hir N 

PROVIDER: S-EPMC7806078 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature