All this work is humbly dedicated to the late Edwin T. Jaynes. His work is our main source of inspiration and reflexion. Especially, his unfinished masterpiece "Probability Theory - The Logic of Science" .

Two research fields

1. Probabilistic reasoning for perception, inference and action

• Basis of a probabilistic theory of sensori-motor cognitive systems (Bayesian models, Probabilistic inference, Maximum entropy principle).
• Probabilistic inference engine.
• Experiments with Khépéra and Koala mobile robots.
• Specification of a programming environment for autonomous robots based on the probabilistic inference engine.
• Methodological reflexion about the concepts of contingency, opportunism, unexpected and novelty.

2. Genetic algorithms for perception, inference and action

• A massively parallel genetic algorithm implemented on a 128 Transputers machine.
• A genetic algorithm to place the processes of a parallel program on the processors of a massively parallel architecture.
• The "Ariadne's clew" algorithm to search trajectories in high dimensional dynamic environments.
• The control of a six degrees of freedom robotic arm with the Ariadne's clew algorithm in an environment where another six degrees of freedom arm is used as a moving obstacle.
• Several applications of genetic algorithms.
• Evolutionary approach of the emergence of photenic structures in languages.