--- On Tue, 1/13/09, Ben Goertzel <[email protected]> wrote:

> The complexity of a simulated environment is tricky to estimate, if
> the environment contains complex self-organizing dynamics, random
> number generation, and complex human interactions ...

In fact it's not computable. But if you write 10^6 bits of code for your 
simulator, you know it's less than 10^6 bits.

But I wonder which is a better test of AI.

http://cs.fit.edu/~mmahoney/compression/text.html
is based on natural language prediction, equivalent to the Turing test. The 
data has 10^9 bits of complexity, just enough to train a human adult language 
model.

http://cs.fit.edu/~mmahoney/compression/uiq/
is based on Legg and Hutter's universal intelligence. It probably has a few 
hundred bits of complexity, designed to be just beyond the reach of 
tractability for universal algorithms like AIXI^tl.

-- Matt Mahoney, [email protected]



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agi
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