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Social-Psychological Harmonic Oscillators in the Self-regulation of Organizations and Systems

  • William F. Lawless
  • Donald A. Sofge
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7620)

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).

Keywords

Interdependence incomplete information conservation of information 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • William F. Lawless
    • 1
  • Donald A. Sofge
    • 2
  1. 1.Paine CollegeAugustaUSA
  2. 2.Naval Research LaboratoryWashington, DCUSA

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