Paths to non-deterministic autonomy: Practical and qualitative considerations towards a Hawking-Musk-esque nightmare

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationMicro- and Nanotechnology Sensors, Systems, and Applications XI
EditorsThomas George, M. Saif Islam
PublisherSPIE
ISBN (Electronic)9781510626294
DOIs
StatePublished - 2019
Externally publishedYes
Event2019 Micro- and Nanotechnology (MNT) Sensors, Systems, and Applications XI Conference - Baltimore, United States
Duration: Apr 14 2019Apr 18 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10982
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2019 Micro- and Nanotechnology (MNT) Sensors, Systems, and Applications XI Conference
Country/TerritoryUnited States
CityBaltimore
Period4/14/194/18/19

Keywords

  • Non-deterministic autonomy
  • Objective global feature extraction and analysis
  • Self-adaptation
  • Self-configuration
  • Self-organization
  • Stochastic optimization framework
  • True randomness
  • Working hypothesis generation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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