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Governance as a complex, networked, democratic, satisfiability problem.

Laurent Hébert-Dufresne1,2, Nicholas W Landry1,3, Juniper Lovato1,2

  • 1Vermont Complex Systems Institute, University of Vermont, Burlington, VT USA.

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Summary
This summary is machine-generated.

New governance models use social networks for decision-making. Effective governance emerges from small, overlapping groups, enabling coherent decisions even in polarized populations with low coordination costs.

Keywords:
GovernmentStatistical physics, thermodynamics and nonlinear dynamics

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Area of Science:

  • Social Sciences
  • Political Science
  • Network Science

Background:

  • Traditional hierarchical governance struggles with complex societal challenges.
  • Emerging frameworks propose social network structures over centralized authority.
  • The optimal structure for information flow in decentralized governance remains unclear.

Purpose of the Study:

  • To model decision-making in populations using a satisfiability problem framework.
  • To analyze information flow structures in governance using social hypergraphs.
  • To identify effective governance structures beyond centralized or direct democracy models.

Main Methods:

  • Modeling societal decisions as a Boolean satisfiability problem (SAT).
  • Representing governance information flow as a social hypergraph.
  • Simulating and analyzing various network structures from dictatorships to direct democracy.

Main Results:

  • A "regime of effective governance" was identified between extremes.
  • This regime features small, overlapping decision-making groups.
  • Coherent decision-making is achieved at low coordination costs, even for polarized populations.

Conclusions:

  • Decentralized governance can be effectively structured as a social hypergraph.
  • Overlapping small groups offer a scalable and efficient governance model.
  • This framework provides a tool to explore novel governance strategies for complex challenges.