Artifical Developmental Learning

Olivier Georgeon's research blog—also known as the story of little Ernest, the developmental agent.

Keywords: situated cognition, constructivist learning, intrinsic motivation, bottom-up self-programming, individuation, theory of enaction, developmental learning, artificial sense-making, biologically inspired cognitive architectures, agnostic agents (without ontological assumptions about the environment).

Wednesday, July 1, 2015

AImergence

AImergence (Artificial Intelligence emergence) is a game in which you play the role of Ernest learning to interact with its environment. Please share and write comments from this page.

Saturday, September 20, 2014

Tuesday, July 22, 2014

IDEAL MOOC

We are pleased to announce that our Developmental Artificial Intelligence MOOC is now open for registration.

Monday, April 14, 2014

Create your Ernest

Learn to create your own self-programming agent and robot in my course on developmental learning. French original version available here.

Monday, February 24, 2014

Lyon Startup Weekend

We won the jury's favorite prize ("coup de coeur du jury", 4th prize) at the Lyon Startup Weekend ! The IDEAL team from left to right: Renaud Detaille, Raphaël Cazorla, Olivier Georgeon, Séverin Bruhat, and Julien Millet. Great thanks to the organizing team for this crazy unforgettable weekend. We love you too !

Watch the  finale video (our presentation from time 2:47:37 to 2:56:20, low audio quality French).

Friday, January 24, 2014

Inferring actions and observations from interactions

Garnier J., Georgeon O., and Cordier A., 2013. Inferring Actions and Observations from Interactions. In the Second Workshop on Goal Reasoning at Advances in Cognitive Systems (ACS2013), Baltimore, ML. 26-35.

Following the Radical Interactionism paradigm introduced previously, this paper investigates the construction of intentional actions and meaningful observations from regularities observed in sequences of sensorimotor interactions.

In doing so, we take the opposite stance of most machine learning approaches that seek to learn a mapping between a predefined space of actions and a predefined space of observations. Instead, our agent begins with a predefined space of interactions and learns actions and observations as secondary constructs. This paper also reports the Ernest 12 experiment.

Friday, December 6, 2013

Radical Interactionism

Olivier L. Georgeon and David W. Aha 2013. The Radical Interactionism Conceptual Commitment. Journal of Artificial General Intelligence 4(2): 31-36.

This is where I turn radical and eliminate perceptions and actions as primitive notions of cognitive models. Now I wonder why it took so many years to come up with such an obvious and elegant formalism.

Friday, November 15, 2013

Single Agents Can Be Constructivist Too

Olivier L. Georgeon and Salima Hassas 2013. Single Agents Can Be Constructivist too. Constructivist Foundations 9(1): 40-42.

In this open peer commentary to an article by Roesch et al.,  we wished to argue that multi-agent systems are not the only alternative to cognitivism. We present Ernest in Roesch et al.'s environment to show that Ernest is constructivist too.