Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems

Authors:
Dr. James A. Crowder, Systems Fellow, Colorado Engineering Inc.
John N. Carbone, Electrical and Computer Engineering Dept., Southern Methodist University

Abstract:
Self-diagnostics and prognostics in multi-agent processing systems is explored in the context of self-soothing concepts in neuropsychology. This is one of the first steps to facilitate systems-level thinking in AI. Autonomous or semi-autonomous system must be able to understand, at a system wide level, how every part of the system is influencing the other parts of the system.

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Artificial Neural Diagnostics and Prognostics: Self-Soothing in Cognitive Systems (5 downloads)

 

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