Researchers at Duke University have created a new artificial intelligence framework designed to uncover straightforward, easy-to-understand rules that sit underneath some of the most complicated dynamics seen in nature and technology.
The system is inspired by the way famous “dynamicists” – scientists who study how systems change over time – uncovered many of the physics principles that explain motion and other evolving processes. In the same spirit that Newton, often described as the first dynamicist, connected force and movement with equations, this AI studies data showing how a complex system changes over time and then produces equations that describe that behavior.
What makes the approach especially powerful is its ability to go beyond what people can realistically juggle mentally. It can take nonlinear systems involving hundreds or even thousands of variables and reduce them to simpler rules that rely on far fewer dimensions.
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