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EP 249 Seth Lloyd on Measuring Complexity

The Jim Rutt Show

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Measuring Complexity: A Multifaceted Approach

This chapter explores the nuances of measuring complexity across various fields, drawing on the author's experiences at the Santa Fe Institute. It contrasts different metrics, such as algorithmic complexity and Shannon entropy, and discusses their implications in understanding both biological systems and information theory. By using relatable examples, the chapter emphasizes that complexity is not just about randomness, but about underlying patterns and the information they convey.

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