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Workshop

Maximizing information in the sensory-motor loop

  • Keyan Zahedi (MPI MiS Leipzig, Germany)
G3 10 (Lecture hall)

Abstract

Cognitive systems are embodied and situated, which means that they act and learn within the sensori-motor loop. An open question is how such systems can improve their behaviour through self-organised learning. In this talk, we present an approach in which such a learning rule is derived from the principle of maximising an approximation of the predictive information. First experiments already show that such a principle enables the co-ordinated behaviour of physically coupled robots.

Antje Vandenberg

Max-Planck-Institut für Mathematik in den Naturwissenschaften Contact via Mail

Nihat Ay

Max Planck Institute for Mathematics in the Sciences, Leipzig

Ralf Der

Max Planck Institute for Mathematics in the Sciences, Leipzig

Mikhail Prokopenko

CSIRO, Sydney