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Proceedings Paper

AI and the transcendence of true autonomy
Author(s): Mark A. Tarbell
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Paper Abstract

For more than sixty years, the “Holy Grail” of computer science has been to build an intelligent, autonomous system, one that is self-aware and capable of rational thought. The founders of Artificial Intelligence recently gave a grim assessment of their field: AI and neuroscience are fixated on the details of implementation, without a fundamental architecture in sight.1 No one has ever articulated the design for an autonomous system, so how can one be built? Modern AI/AGI efforts attempt to achieve this goal through elaborate rules-based computation and biology-inspired computing topologies, while actively ignoring the need for a fundamental architecture. This publication introduces a novel architecture and fundamental operating theory behind true autonomy, breaking with the standard principles of AI − the very principles that have kept AI from achieving its own goals.

Paper Details

Date Published: 13 May 2019
PDF: 8 pages
Proc. SPIE 10982, Micro- and Nanotechnology Sensors, Systems, and Applications XI, 1098223 (13 May 2019); doi: 10.1117/12.2517403
Show Author Affiliations
Mark A. Tarbell, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 10982:
Micro- and Nanotechnology Sensors, Systems, and Applications XI
Thomas George; M. Saif Islam, Editor(s)

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