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

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-05-01 DOI:10.1038/s44260-025-00041-3
Laurent Hébert-Dufresne, Nicholas W Landry, Juniper Lovato, Jonathan St-Onge, Jean-Gabriel Young, Marie-Ève Couture-Ménard, Stéphane Bernatchez, Catherine Choquette, Alan A Cohen
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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.

治理是一个复杂的、网络化的、民主的、可满足的问题。
民主政府由人口的一个子集组成,其目标是在尊重人民意愿的同时,制定解决社会挑战的连贯决策。新的治理框架将其表示为社会网络,而不是具有集中权力的分层金字塔。但是这个网络应该如何构建呢?我们将一个群体必须做出的决策建模为一个可满足性问题,并将决策中涉及的信息流结构建模为一个社会超图。这个框架允许考虑不同的治理结构,从独裁到直接民主。在这些极端之间,我们发现了一种有效的治理制度,在这种制度中,小的重叠决策组做出具体的决策并共享信息。有效的治理甚至允许不一致或两极分化的人群以较低的协调成本做出一致的决策。除了模拟之外,我们的概念框架还可以探索广泛的治理策略及其解决挑战标准政府的决策问题的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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