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BIBA

Bayesian Inspired

Brain and Artefacts

www-biba.inrialpes.fr

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Objective

Explore a new paradigm for

perception, action, inference, decision and learning:

Bayesian probabilistic reasoning

• A new model for cognition in life science?

• A new methodology to develop better artefacts?

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Axes

• Biological plausibility of Bayesian reasoning at a microscopic level?

• Biological plausibility of Bayesian reasoning at a macroscopic level?

• How to develop better artefacts using Bayesian reasoning?

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Partners

• Life Sciences– Collège de France (LPPA - A. Berthoz; J. Droulez)

– University College of London (UCL - A. Gardner-Medwin)

– University of Cambridge (UCAM - H. Barlow)

• Information Sciences– Ecole Polytechnique Fédérale de Lausane (EPFL - R.

Siegwart)

– INRIA - CNRS (GRAVIR - P. Bessière; E. Mazer)

– MIT (NSL - J.J. Slotine)

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What can we offer?

• An experimental platform: BIBA Robot• A Bayesian API: OPL

• Possible scientific collaboration:AMOUSE, ARTESIMIT, INSIGHT2+, SIGNAL, MIRRORBOT, SENSEMAKER, SPIKEFORCE

• Neuro-IT at NIPS 2003?

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www-biba.inrialpes.fr