Abstract Preference Frameworks — a Unifying Perspective on Separability and Strong Equivalence
Wolfgang Faber, Mirosław Truszczyński, Stefan Woltran · Proceedings of the AAAI Conference on Artificial Intelligence · 2013
We introduce abstract preference frameworks to study general properties common across a variety of preference formalisms. In particular, we study strong equivalence in preference formalisms and their separability. We identify abstract postulates on preference frameworks, satisfied by most of the currently studied preference formalisms, that lead to characterizations of both properties of interest.