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Complexity science studies how local interactions among many components produce emergent patterns, self-organization, and nonlinear behavior. It provides conceptual models and methods (e.g. networks, agent-based models, feedback loops) for analyzing, anticipating, and designing complex technical, organizational, and socio-ecological systems. Applications spa…
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What organizes, connects, or makes decisions possible.
Complexity science studies patterns arising from relationships, feedback, and nonlinearities among many parts.
The field emerged across disciplines because single-cause models poorly explained self-organization and networks. The Santa Fe Institute represents this interdisciplinary line.
Study parts, relationships, and time together; observe how feedback turns small changes into large effects.
Effects do not grow proportionally with their causes.
Order arises from local interactions without central control.
The perspective supports scenarios and experiments amid delayed, networked, or surprising dynamics.
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