Inferring simple rules from complex structures: Radhika Nagpal


Source: Harvard Gazette

From Science: “Complex systems are characterized by many independent components whose low-level actions produce collective high-level results. Predicting high-level results given low-level rules is a key open challenge; the inverse problem, finding low-level rules that give specific outcomes, is in general less understood. We present a multi-agent construction system inspired by mound-building termites, solving such an inverse problem. “

From Harvard Gazette: “The key inspiration we took from termites is the idea that you can do something really complicated as a group, without a supervisor, and, secondly, that you can do it without everybody discussing explicitly what’s going on, but just by modifying the environment.”

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