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W. Brian Arthur | Complexity Economics, Complexity Science, and Chaos Theory

Hidden Forces

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Understanding Complexity in Systems

This chapter explores the evolution of complexity as a scientific framework, contrasting traditional top-down approaches with a bottom-up understanding of interconnected systems. It discusses historical figures who challenged reductionism and illustrates how dynamic interactions can lead to emergent behaviors through examples like traffic patterns and the high-tech economy. The chapter emphasizes the limitations of conventional equilibrium models in capturing the unpredictable and intricate nature of complex systems.

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