I'm having a hard time coming up with a motivation system that could lead such an AI to developing an acausal decision theory without relying on some goal-like structure that would end up being externally indistinguishable from terms in a utility function. If we stuck a robot with mechanical engineering tools in a room full of scrap parts and gave it an urge to commit novel actions but no utilitarian guidelines for what actions are desirable, I don't think I'd expect it to produce a working nuclear reactor in a reasonable amount of time simply for having nothing better to do.
At the recent London meet-up someone (I'm afraid I can't remember who) suggested that one might be able to solve the Friendly AI problem by building an AI whose concerns are limited to some small geographical area, and which doesn't give two hoots about what happens outside that area. Cipergoth pointed out that this would probably result in the AI converting the rest of the universe into a factory to make its small area more awesome. In the process, he mentioned that you can make a "fun game" out of figuring out ways in which proposed utility functions for Friendly AIs can go horribly wrong. I propose that we play.
Here's the game: reply to this post with proposed utility functions, stated as formally or, at least, as accurately as you can manage; follow-up comments explain why a super-human intelligence built with that particular utility function would do things that turn out to be hideously undesirable.
There are three reasons I suggest playing this game. In descending order of importance, they are: