Creating metamemory by evolving artificial neural network with neuromodulation

Abstract

Human have the ability to consciously aware of the presence or absence of their memory. This kind of the ability called metamemory plays important roles in human cognition. We aim to evolve arti cial neural networks with neuromodulation, that have a metamemory function. Our constructive approach is based on the repetition of evolutionary experiments, analysis of the evolved networks and re nement of the measure, so as to reducing the gap between the functional properties of behavior and subjective reports of phenomenal experience. This paper reports on the current state of the approach based on the evolutionary experiments with a delayed matching-to-sample task.