Homeostatic Plasticity in Robots

I am presenting this poster at the CogSys2010 Conference in Zurich. The poster shows some results of a simulation model I developed long ago (almost 5 years ago!) on a reinforcement learning task with evolutionary robotics, using homeostatic plasticity on the CTRNN controllers. I am currently writing a paper with Ezequiel Di Paolo on the details of the simulation model. The agents are capable to display a developmental process (connection weights are initialized at value 0), to solve an operant conditioning task and display the spontaneous formation of habits.

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