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On Metabolic Complex Networks for Entropic Robust Autonomy

Authors:
Chris Nowak
Darryn Reid

Keywords: Autonomy; Resilience to Perturbations; Metabolism; Homeostasis & Allostasis; Transformations; Capability, Function & Behaviour; Self-adaptation; Curvature; Entropy.

Abstract:
Autonomous systems are expected to be robust: they should be resilient to perturbations arising both from the external environment and from within the system itself. In other words, they should maintain a state of dynamic equilibrium, or homeostasis, within known limitations. By framing autonomous systems as metabolic systems, which can be understood as systems with flows and transformations that are capable of functioning well in a complex environment, it is demonstrated how a homeostatic control mechanism could be designed to enable such systems to self-adapt to the changing environment. To illustrate these ideas, they are applied to the problem of designing robust autonomous supply networks; their homeostatic control mechanisms and catalysts are identified.

Pages: 23 to 35

Copyright: Copyright (c) The Government of Australia, 2020. Used by permission to IARIA.

Publication date: September 27, 2020

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-787-0

Location: Lisbon, Portugal

Dates: from September 27, 2020 to October 1, 2020