60sec snip

COMPLEXITY cover image

Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park

COMPLEXITY

NOTE

The Two Ways of Engaging with Reality: Machine Learning vs Complexity Science

A new kind of scientific schism is emerging in the 21st century, with two different ways of engaging with reality: a machine-based, high-dimensional, precise predictive framework, and a familiar framework faithful to the complexity of the systems we study./nThe familiar framework allows us to understand the basic mechanisms generating the phenomena of interest, although it may not predict as well as the machine-based approach./nComplexity science will need to coexist with machine learning and AI.

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