Difference between revisions of "Goedel machine"

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Revision as of 20:01, 15 June 2012

A ‘’’Goedel Machine’’’ is an approach to Artificial General Intelligence that uses a Recursive Self-Improvement architecture proposed by Jürgen Schmidhuber based of the mathematical theories of Kurt Goedel.

Schmidhuber’s design uses axioms to systematically search through its own code to find useful re-writes (which are deemed useful if they result in greater utility for the AI)

The axioms include a detailed formal description of the machine's software and hardware, including both the components interacting with the environment and those dealing with the formal proofs, and a possibly partial description of the environment.

According to Schmidhuber this approach is globally optimal as the search space is systematically tested in such a way the code has to prove that it is not useful to continue the proof search for alternative self-rewrites.

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See Also