Abstract
General Intelligence is not only characterized by the general representation and (relatively) general problem solving capabilities, but also by general motivation. Here, I sketch a framework for an extensible motivational system for cognitive agents, based on research in psychology. It draws on a finite set of pre-defined drives, which relate to needs of the system. Goals are established through reinforcement learning by interacting with an environment.
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Bach, J. (2011). A Motivational System for Cognitive AI. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_24
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DOI: https://doi.org/10.1007/978-3-642-22887-2_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22886-5
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