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Decision-making in Structured Groups: from animal societies to human governance

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Across scientific domains, collectives of agents come together to solve complex problems that one agent alone could never solve. This emergent decision making takes multiple forms, from the complex sociality of animal societies to the formal governance of human groups.

Although some patterns are shared across computational agents, animals, and humans, they are often studied in different ways across different fields: animal behaviour, cognitive ecology, social cognition, network science, cultural evolution, social ontology, political science, and economics, to name a few. These fields often use their own language and methods, such that insights from one discipline might not be directly useful to related problems in a different discipline. In this Collection, we wish to synthesize current knowledge on decision-making in structured groups and highlight recent developments in a language accessible to all researchers. Our hope is to stimulate new dialogues and translational efforts, from experimental studies to mathematical models and conceptual frameworks, to fully capture the rich diversity of ways collectives solve complex problems in nature.

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An artistic digital rendering featuring a collection of arrows pointing in various directions, symbolizing the complexity and multitude of choices involved in the decision-making process

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