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Governance as a complex, networked, democratic, satisfiability problem

2024/12/04 by Laurent Hébert-Dufresne, Laurent Hébert‐Dufresne, Nicholas Landry +17 · 2 voices · 1 citation
Neuroscience · Physics and Astronomy · Social Sciences · #Embodied and Extended Cognition #Evolutionary Game Theory and Cooperation #Opinion Dynamics and Social Influence #cs.SI #nlin.AO #physics.soc-ph

paper · pdf · doi:10.48550/arxiv.2412.03421

openalex publication_date 2024/12/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Democratic governments comprise a subset of a population whose goal is to produce coherent decisions, solving societal challenges while respecting the will of the people. New governance frameworks represent this as a social network rather than as a hierarchical pyramid with centralized authority. But how should this network be structured? We model the decisions a population must make as a satisfiability problem and the structure of information flow involved in decision-making as a social hypergraph. This framework allows to consider different governance structures, from dictatorships to direct democracy. Between these extremes, we find a regime of effective governance where small overlapping decision groups make specific decisions and share information. Effective governance allows even incoherent or polarized populations to make coherent decisions at low coordination costs. Beyond simulations, our conceptual framework can explore a wide range of governance strategies and their ability to tackle decision problems that challenge standard governments.

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