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Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
David C. Krakauer • 1 highlight
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how to write algorithms that could change their code and get smarter as they develop. We now call this evolutionary programming.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium

not geared toward representing precise factual knowledge
Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust
Perhaps the greatest “phase transition” in our thinking that such an approach could engender is the maturation in our willingness to live with relatively high levels of uncertainty in the domains of complex phenomena—and thus give up on ideas like complete “cures,” the elimination of “risk,” the design of perfect “stability,” and achieving total “s
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