Proceedings of Machine Learning Research, Volume 62 (ISIPTA 2017), pp. 346 – 357, July 2017.
Selected for the IJAR special issue.We investigate how to model exchangeability with choice functions. Exchangeability is a structural assessment on a sequence of uncertain variables. We show how such assessments constitute a special kind of indifference assessment, and how this idea leads to a counterpart of de Finetti’s Representation Theorem, both in a finite and a countable context.