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To tame urban traffic, the computer scientist Carlos Gershenson finds that letting transportation systems adapt and self-organize often works better than trying to predict and control them.
Skyrocketing animal diversity a half-billion years ago was linked to spikes and dips in marine oxygen levels, according to a detailed geological study.
As researchers delve deeper into the behavior of decentralized collective systems, they’re beginning to question some of their initial assumptions.
Jellyfish didn’t need novel genes to take an evolutionary leap in complexity.
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.
The rise of new extremist groups has served as both an impetus and test-case for Neil Johnson’s models of terrorism and insurgency.
Scientists are homing in on a warning signal that arises in complex systems like ecological food webs, the brain and the Earth’s climate. Could it help prevent future catastrophes?