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Intrinsically Motivated Systems


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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Graham Chastney(UKI&N) is a global domain architect experienced in workplace technologies,  solution strategy and solution governance. He is a global collaborator who is relied upon to provide thought leadership to solution teams and to build and development teams. Graham is the founder  and lead author of the Technology Perspectives blog, which he regards as part of a broader ambition to …