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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
The metaphor of DNA as a blueprint or instruction manual is not correct given the prevalence of transposons; rather it is “part library and part zoo, with the unruly creatures of the menagerie constantly tearing into the pages, creating mutation and mayhem” (p. 177).
Book review – Selfish Genes to Social Beings: A Cooperative History of Life,
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In this book I have tried to build on both Adam Smith and Charles Darwin: to interpret human society as the product of a long history of what the philosopher Dan Dennett calls ‘bubble-up’ evolution through natural selection among cultural rather than genetic variations, and as an emergent order generated by an invisible hand of individual
... See moreMatt Ridley • The Rational Optimist: How Prosperity Evolves (P.S.)
If the robot ever walks better than it did originally, then I am mistaken. If it continues to improve after that, then I am very much mistaken. One of the main features of the above experiment, which is lacking in the usual way of doing artificial evolution, is that, for it to work, the language (of subroutines) would have to evolve along with the
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