The predictive basis of situated and embodied artificial intelligence

Authors:
Keith L. Downing
Affiliations:
Norwegian University of Science and Technology, Trondheim, Norway
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

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Abstract

While classic AI systems still struggle to properly incorporate common-sense knowledge, Situated and Embodied Artificial Intelligence (SEAI) aims to build animats that acquire a common-sense understanding of the world via interactions between simulated brains, bodies and environments. Neuroscientists believe that much of this common sense involves predictive models for physical activities, but the transfer of sensorimotor skill knowledge to cognition is non-trivial, indicating that SEAI may meet a daunting challenge of its own. This paper considers the neurological basis for procedural common sense and the possibilities for its transfer to conscious reasoning. This helps assess the prospects for SEAI to eventually surpass classic AI in the quest for generally intelligence systems.