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Realtime Continuous Adaptive Behavior: The Rodney System
Active from 1997 - 1997
This project is an exploration of non-symbolic learning as applied to a robot in an environment. By modifying a Braitenburg architecture with Hebbian learning techniques whcih take advantage of the stimuli and constraints of the world, a system is devised that is exceedingly simple, somewhat robust, and very adaptable.
Related Areas
Reinforcement Learning
Labs
Neural Networks