INFORMATION DRIVEN SELF-ORGANIZATION OF COMPLEX ROBOTIC BEHAVIORS.

Information driven self-organization of complex robotic behaviors.

Information theory is a powerful tool to express principles to drive autonomous systems because it is domain invariant and allows for an intuitive interpretation.This paper studies the use of the predictive information (PI), also called excess entropy or effective measure complexity, of the sensorimotor process as a driving force MASK to generate b

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Edge of Chaos in Memristor Cellular Nonlinear Networks

Information processing in the brain takes place in a dense network of neurons connected through synapses.The collaborative work between these two components (Synapses and Neurons) allows for basic brain functions such as learning and memorization.The so-called von Neumann bottleneck, which limits the information processing capability of conventiona

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