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A framework that applies insights from complexity science—nonlinearity, feedback loops, emergence, and sensitive dependence—to the study of logic and knowledge. Complex logico‑epistemology holds that reasoning does not follow simple linear chains but occurs in interconnected networks where small changes can have large effects. It examines how epistemic communities self‑organize, how paradigms shift through tipping points, and how knowledge emerges from decentralized interactions. It challenges reductionist approaches that treat logic as a set of independent rules, revealing instead a rich, adaptive, and often unpredictable epistemic landscape.
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