Jürgen Schmidhuber
Jürgen Schmidhuber (born 1963 in Munich) is a computer scientist and
artist known for his work on machine learning, universal Artificial Intelligence (AI), artificial recurrent neural networks, computable universes and digital physics, and low-complexity art. His contributions also include generalizations of Kolmogorov complexity and the Speed Prior. He is co-director of the Swiss AI lab IDSIA.
His most ambitious contribution so far may be the as yet unrealised Goedel machine (2003), a proposed general problem solver which would solve arbitrary computational problems in an optimal fashion inspired by Kurt Gödel's celebrated self-referential formulas (1931).
Schmidhuber writes that since age 15 or so his main scientific
ambition has been to build an optimal scientist, then retire. First he
wants to build a scientist better than himself (he says his colleagues
claim that should be easy) who will then do the remaining work. He claims he
"cannot see any more efficient way of using and multiplying the little
creativity he's got".
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Referenced By
Goedel machine | Gödel machine
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