Wright State University CORE Scholar International Symposium on Aviation International Symposium on Aviation Psychology - 2019 Psychology 5-7-2019 Machine Awareness Steven D. Harbour Jeffery D. Clark William D. Mitchell Krishnamurthy V. Vemuru Follow this and additional works at: https://corescholar.libraries.wright.edu/isap_2019 Part of the Other Psychiatry and Psychology Commons 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 This Article is brought to you for free and open access by the International Symposium on Aviation Psychology at CORE Scholar. It has been accepted for inclusion in International Symposium on Aviation Psychology - 2019 by an authorized administrator of CORE Scholar. For more information, please contact
[email protected]. MACHINE AWARENESS Dr. Steven D. Harbour Dr. Jeffery D. Clark Mr. William D. Mitchell Riverside Research 2640 Hibiscus Way, Beavercreek, Ohio 45431, USA Dr. Krishnamurthy V. Vemuru Riverside Research 2900 Crystal Dr., Arlington, Virginia 22202, USA 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 self- direction 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.