Engineering permanence in finite systems

Information Systems, Norwich University, Northfield, Vermont, USA
DOI
10.7287/peerj.preprints.2454v1
Subject Areas
Human-Computer Interaction, Adaptive and Self-Organizing Systems, Emerging Technologies, Optimization Theory and Computation, Software Engineering
Keywords
invariants, genetic algorithm, optimization, commensurability, cybernetics, category theory, quantum theory, IBM z/OS, Windows, zero-knowledge protocols
Copyright
© 2016 Bilar
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Bilar D. 2016. Engineering permanence in finite systems. PeerJ Preprints 4:e2454v1

Abstract

The man-machine integration era (MMIE) is marked by sensor ubiquity, whose readings map human beings to finite numbers. These numbers - processed by continuously changing, optimizing/learning, finite precision, closed loop, distributed systems - are used to drive decisions such as insurance rates, prison sentencing, health care allocations and probation guidelines. Optimization and system parameter tuning is increasingly left to machine learning and applied AI. One challenges we face is thus: Ensuring the indelibility, the permanence, the infinite value of human beings as optimization-resistant invariants in such system environments.

Author Comment

This extended abstract (1 page, 2 column page limit excl. references) has been submitted to IEEE SecDev 2016 http://secdev.ieee.org/ as a lightning talk on Sept 16, 2016.