Contributions to Proceedings:
W. Faber, M. Truszczynski, S. Woltran:
"Abstract Preference Frameworks - a Unifying Perspective on Separability and Strong Equivalence";
in: "Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence",
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.
Created from the Publication Database of the Vienna University of Technology.