Can you give a reference? Because that strikes me as rather un-Jaynesian.
You say that the interval tells us something about how apt the estimate is to move in the face of new evidence. What does it tell us about that? Doesn't it depend on which piece of evidence we're talking about? Do you have to specify a prior over which variables you are likely to observe next?
It is good to indicate the strength of your priors. Perhaps one could indicate how much you think your opinion is likely to change over some specified timescale - or in response to the next set of pertinent data points.
There is a common intuition and feeling that our most fundamental goals may be uncertain in some sense. What causes this intuition? For this topic I need to be able to pick out one’s top level goals, roughly one’s context insensitive utility function, and not some task specific utility function, and I do not want to imply that the top level goals can be interpreted in the form of a utility function. Following from Eliezer’s CFAI paper I thus choose the word “supergoal” (sorry Eliezer, but I am fond of that old document and its tendency to coin new vocabulary). In what follows, I will naturalistically explore the intuition of supergoal uncertainty.
To posit a model, what goal uncertainty (including supergoal uncertainty as an instance) means is that you have a weighted distribution over a set of possible goals and a mechanism by which that weight may be redistributed. If we take away the distribution of weights how can we choose actions coherently, how can we compare? If we take away the weight redistribution mechanism we end up with a single goal whose state utilities may be defined as the weighted sum of the constituent goals’ utilities, and thus the weight redistribution mechanism is necessary for goal uncertainty to be a distinct concept.
(ps I may soon post and explore the effects of supergoal uncertainty in its various reifications on making decisions. For instance, what implications, if any, does it have on bounded utility functions (and actions that depend on those bounds) and negative utilitarianism (or symmetrically positive utilitarianism)? Also, if anyone knows of related literature I would be happy to check it out.)
(pps Dang, the concept of supergoal uncertainty is surprisingly beautiful and fun to explore, and I now have a vague wisp of an idea of how to integrate a subset of these with TDT/UDT)