Measure Selection: Notions of Rationality and Representation Independence


We take another look at the general problem of selecting a preferred probability measure among those that comply with some given constraints. The dominant role that entropy maximization has obtained in this context is questioned by arguing that the minimum information principle on which it is based could be supplanted by an at least as plausible ``likelihood of evidence'' principle. We then review a method for turning given selection functions into representation independent variants, and discuss the tradeoffs involved in this transformation

Similar works

Full text



Full text is not available time updated on 6/15/2019

This paper was published in MPG.PuRe.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.