TY - GEN
T1 - Paths to non-deterministic autonomy
T2 - 2019 Micro- and Nanotechnology (MNT) Sensors, Systems, and Applications XI Conference
AU - Fink, Wolfgang
N1 - Publisher Copyright:
© 2019 SPIE.
PY - 2019
Y1 - 2019
N2 - Current computational approaches, such as Artificial Intelligence, artificial neural networks, expert systems, fuzzy logic, fuzzy-cognitive maps, other rule-based approaches, etc., fundamentally do not lend themselves to building nondeterministic autonomous reasoning systems. Especially for AI, high hopes were raised more than 50 years ago, but AI has largely failed to deliver on its promises and still does. As such, the paper discusses different ingredients and approaches towards completely non-deterministic autonomous systems that are based on and exhibit critical capabilities, such as, but not limited to, self-organization, self-configuration, and self-adaptation. As such, any two initially identical autonomous systems will exhibit diverging and ultimately completely unpredictable developmental trajectories over time, once exposed to the same or similar environment, and even more so, once exposed to different environments.
AB - Current computational approaches, such as Artificial Intelligence, artificial neural networks, expert systems, fuzzy logic, fuzzy-cognitive maps, other rule-based approaches, etc., fundamentally do not lend themselves to building nondeterministic autonomous reasoning systems. Especially for AI, high hopes were raised more than 50 years ago, but AI has largely failed to deliver on its promises and still does. As such, the paper discusses different ingredients and approaches towards completely non-deterministic autonomous systems that are based on and exhibit critical capabilities, such as, but not limited to, self-organization, self-configuration, and self-adaptation. As such, any two initially identical autonomous systems will exhibit diverging and ultimately completely unpredictable developmental trajectories over time, once exposed to the same or similar environment, and even more so, once exposed to different environments.
KW - Non-deterministic autonomy
KW - Objective global feature extraction and analysis
KW - Self-adaptation
KW - Self-configuration
KW - Self-organization
KW - Stochastic optimization framework
KW - True randomness
KW - Working hypothesis generation
UR - http://www.scopus.com/inward/record.url?scp=85069656265&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069656265&partnerID=8YFLogxK
U2 - 10.1117/12.2518335
DO - 10.1117/12.2518335
M3 - Conference contribution
AN - SCOPUS:85069656265
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Micro- and Nanotechnology Sensors, Systems, and Applications XI
A2 - George, Thomas
A2 - Islam, M. Saif
PB - SPIE
Y2 - 14 April 2019 through 18 April 2019
ER -