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by Abram Demski 1707 days ago | Nate Soares likes this | link | parent

More technically, we might assume that the AI is using a good finite-time approximation one of the logical priors that has been explored, conditioned on the description of the scenario. We include a logical description of its own source code and physical computer [making the agent unable to consider disruptions to its machine, but this isn’t important]. To decide actions, the agent makes decisions by the ambient chicken rule: if the agent can prove what action it will take, it does something different from that. Otherwise, it takes the action with the highest expected utility (according to Bayesian conditional).

Then, the agent cannot predict that it will give the researcher money, because it doesn’t know whether it will trip its chicken clause. However, it knows that the researcher will make a correct prediction. So, it seems that it will pay up.

The tickle defense fails as a result of the chicken rule.





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