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While the mind remains a mysterious and inaccessible phenomenon, many of the components of mind, such as perception, behavior generation, knowledge representation, value judgment, reason, intention, emotion, memory, imagination, recognition, learning, attention, and intelligence are becoming well defined and amenable to analysis. Progress is rapid in the cognitive and neurosciences as well as in artificial intelligence, control theory, and many other fields related to the engineering of mind. A reference model architecture for intelligent systems is suggested to tie together concepts from all these separate fields into a unified framework that includes both biological and machine embodiments of the components of mind. It is argued that such a reference model architecture will facilitate the development of scientific models of mind.
Robotics & Intelligent Systems, Control, Brain Models & Neural Nets, behavior generation, intelligent systems, knowledge representation, Models of mind
Citation
Albus, J.
(1999),
The Engineering of Mind, Information Sciences, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=820641
(Accessed February 18, 2025)