Paper
13 May 2019 AI and the transcendence of true autonomy
Author Affiliations +
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.
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Mark A. Tarbell "AI and the transcendence of true autonomy", Proc. SPIE 10982, Micro- and Nanotechnology Sensors, Systems, and Applications XI, 1098223 (13 May 2019); https://doi.org/10.1117/12.2517403
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KEYWORDS
Artificial intelligence

Logic

Intelligence systems

Brain

Computer science

Computing systems

Computer architecture

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