Document Type
Article
Publication Date
5-7-2019
City
Dayton
Abstract
Current and future research that embodies a pathway to achieving machine common sense (MCS), including Capsule Neural Networks, Hebbian Plasticity Theory, Dual Process Theory, and machine awareness (MA). The final frontier may well involve a framework that is capable of machine curiosity, exploration, automatic selfdirection and adaptation. The artificial intelligence (AI) system of the future will possess an innate curiosity and explore its own environment to gain knowledge, exhibiting a basic element of human cognition and awareness. The resulting MA system will possess inherent self-driven curiosity and related entropy in the decision space as it explores the environment in much the same manner as humans do.
Repository Citation
Harbour, S. D.,
Clark, J. D.,
Mitchell, W. D.,
& Vemuru, K. V.
(2019). Machine Awareness. 20th International Symposium on Aviation Psychology, 480-485.
https://corescholar.libraries.wright.edu/isap_2019/81