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He proved, and received the Nobel Prize for showing, that some systems can, in fact, develop in an upward spiral of ever-increasing complexity.
Phyllis Kirk JD • Quantum Lite Simplified
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
... See moreJessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
Programming as Theory Building
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
substack.com • Home | Substack
that people—or, if you like, automata, algorithms—can and do act in situations that are not well defined.