Convergence of Expected Utility for Universal AI

Details Convergence of Expected Utility for Universal AI Convergence of Expected Utility for Universal AI

2009-07-31

arxiv.org/abs/0907.5598v2

Computer Science

Artificial Intelligence

Scientific paper

We consider a sequence of repeated interactions between an agent and an environment. Uncertainty about the environment is captured by a probability distribution over a space of hypotheses, which includes all computable functions. Given a utility function, we can evaluate the expected utility of any computational policy for interaction with the environment. After making some plausible assumptions (and maybe one not-so-plausible assumption), we show that if the utility function is unbounded, then the expected utility of any policy is undefined.

Affiliated with

Also associated with

No associations

Rating

Convergence of Expected Utility for Universal AI does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Convergence of Expected Utility for Universal AI, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Convergence of Expected Utility for Universal AI will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-268201