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.

You can download the poster by clicking on the image above or here.

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