External and internal complexity of complex adaptive systems
AbstractWe introduce concepts of external and internal complexity to analyze the relation between an adaptive system and its environment. We apply this theoretical framework to the construction of models in a cognitive system and the selection between hypotheses
through selective observations performed on a data set in a recurrent process and propose a corresponding neural network architecture.
