A few weeks ago we looked at a simulation of technological evolution by economist Brian Arthur, in which he was able to start with simple building blocks (such as a NAND gate) and evolve surprisingly complex circuits (such as a 12-way AND gate or a 4-bit adder) by randomly…
Evolutionary algorithms are optimization techniques inspired by natural evolution, solving complex problems through processes like selection, adaptation, and mutation.
Evolutionary algorithms are an unsupervised learning alternative to neural networks that rely on fitness functions instead of trained nodes for evaluation.
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