Social-Psychological harmonic oscillators in the self-regulation of organizations and systems

Authors:
William F. Lawless;Donald A. Sofge
Affiliations:
Paine College, Augusta, Georgia;Naval Research Laboratory, Washington, DC
Venue:
QI'12 Proceedings of the 6th international conference on Quantum Interaction
Year:
2012

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Abstract

We propose ab initio the existence of social-psychological harmonic oscillators (SPHO) acting computationally in the minds of an intelligent audience that a self-regulated collective exploits to solve problems, resolve complex issues, or entertain itself. Using computational intelligence, our ultimate goal is to self-regulate systems composed of humans, machines and robots. We conclude in an overview that self-regulation, characterized by our solution of the nonlinear tradeoffs between Fourier pairs of Gaussian distributions, affects decision-making differently for organizations and systems: When set inside of a democracy to solve well-defined problems, optimum performance requires command decision-making along with maximum cooperation among an organization's multitaskers (few challenges maximize oscillations); but, to solve ill-defined problems across a system requires maximum competition among participants and organizations (challenges minimize oscillations).