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To exhibit intelligent behavior, cognitive robots must have some knowledge about the consequences of their actions and their value in the context of the goal being realized. We present a neural framework using which explorative sensorimotor experiences of cognitive robots can be efficiently ‘internalized’ using growing sensorimotor maps and planning realized using goal induced quasi-stationary value...
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