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Complexity is studied by dozens of research programmes across physics, biology, computing, the social sciences and philosophy. They borrow from each other constantly, yet each keeps its own questions, assumptions and methods. Maps of Complexity uses different lenses to look at the programmes, their content and development over time, and the relationships between them. This helps you see patterns – and understand the complexity of complexity studies a little better.
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