Smart Network Field Theory: The Technophysics of Blockchain and Deep Learning

48 Pages Posted: 31 Oct 2018

See all articles by Melanie Swan

Melanie Swan

Purdue University; Institute for Blockchain Studies

Renato dos Santos

PPGECIM/ULBRA - Lutheran University of Brazil

Date Written: October 8, 2018

Abstract

The aim of this paper is to propose a theoretical construct, smart network field theory, for the characterization, monitoring, and control of smart network systems. Smart network systems are intelligent autonomously-operating networks, a new form of global computational infrastructure that includes blockchains, deep learning, and autonomous-strike UAVs. These kinds of large-scale networks are a contemporary reality with thousands, millions, and billions of constituent elements, and entail a foundational and theoretically-robust model for their design and operation. Hence this work proposes smart network field theory, drawing from statistical physics, effective field theories, and model systems, for criticality detection and fleet-many item orchestration in smart network systems. Smart network field theory falls within the broader concern of technophysics (the application of physics to the study of technology), in which a key objective is deriving standardized methods for assessing system criticality and phase transition, and defining interim system structure between the levels of microscopic noise and macroscopic labels. The farther implications of this work include the possibility of recasting the P/NP computational complexity schema as one no longer based on traditional time (concurrency) and space constraints, due to the availability of smart network computational resources.

Keywords: Technophysics, Smart Networks, Deep Learning, Blockchain, Statistical Physics, Complexity, System Criticality, Phase Transition, Field Theory, Information Theory

Suggested Citation

Swan, Melanie and dos Santos, Renato, Smart Network Field Theory: The Technophysics of Blockchain and Deep Learning (October 8, 2018). Available at SSRN: https://ssrn.com/abstract=3262945 or http://dx.doi.org/10.2139/ssrn.3262945

Melanie Swan (Contact Author)

Purdue University

100 N University St
West Lafayette, IN 47907

Institute for Blockchain Studies

HOME PAGE: http://blockchainstudies.org/

Renato Dos Santos

PPGECIM/ULBRA - Lutheran University of Brazil ( email )

Av. Farroupilha, 8001
São José
Canoas, RS 92425-900
Brazil
+55 51 3477.9278 (Phone)
+55 51 3477.9239 (Fax)

HOME PAGE: http://www.ulbra.br/ppgecim/

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