Abstract:Motivation is a very complex psychological behavior arising out of ones current physiological and psychological state of affairs. Motivation in humans is always associated or studied with incentive theories. As per human psychology, our intrinsic motivation factors are centered around intrinsic rewards which are considered critical for the development of cognitive intelligence. In that case, can an artificially learning machine be motivated to develop cognitive intelligence? What are the factors that would lead a machine learning system to motivate itself intrinsically? This paper discusses some of these question based on the latest research work carried out in the fields of development psychology, active learning, neuroscience, adaptive curiosity et. al., and see how this can be applied to our context of developing intrinsically motivated systems.
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