Over the past several decades, Koza has internalized that lesson as deeply as any computer scientist alive and, arguably, made more of the insight than any coder in history. Now 62 and an adjunct professor at Stanford University, Koza is the inventor of genetic programming, a revolutionary approach to artificial intelligence (AI) capable of solving complex engineering problems with virtually no human guidance. Koza´s 1,000 networked computers don´t just follow a preordained routine. They create, growing new and unexpected designs out of the most basic code. They are computers that innovate, that find solutions not only equal to but better than the best work of expert humans. His “invention machine”, as he likes to call it, has even earned a U.S. patent for developing a system to make factories more efficient, one of the first intellectual-property protections ever granted to a nonhuman designer.
Yet as impressive as these creations may be, none are half as significant as the machine´s method: Darwinian evolution, the process of natural selection. Over and over, bits of computer code are, essentially, procreating. And over the course of hundreds or thousands of generations, that code evolves into offspring so well-adapted for its designated job that it is demonstrably superior to anything we can imagine. The age of creative machines has arrived. And its prophet is John Koza.
Wednesday 24 February 2010
John Koza Has Built an Invention Machine ☀
Notes
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