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The Engineering of Mind

Published

Author(s)

James S. Albus

Abstract

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.
Citation
Information Sciences
Volume
117

Keywords

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 July 14, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created November 2, 1999, Updated February 17, 2017