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Throughout nature, throngs of relatively simple elements can self-organize into behaviors that seem unexpectedly complex. Scientists are beginning to understand why and how these phenomena emerge without a central organizing entity.
Some researchers are using a complexity framework thought to be purely theoretical to understand evolutionary dynamics in biological and computational systems.
In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.
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