ML Anthology

Abstract Preference Frameworks - A Unifying Perspective on Separability and Strong Equivalence

Wolfgang Faber, Miroslaw Truszczynski, Stefan Woltran
AAAI 2013 pp. 297-303
doi:10.1609/AAAI.V27I1.8593 /aaai/2013/faber2013aaai-abstract/

Abstract

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.

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Text

Faber et al. "Abstract Preference Frameworks - A Unifying Perspective on Separability and Strong Equivalence." AAAI Conference on Artificial Intelligence, 2013. doi:10.1609/AAAI.V27I1.8593

Markdown

[Faber et al. "Abstract Preference Frameworks - A Unifying Perspective on Separability and Strong Equivalence." AAAI Conference on Artificial Intelligence, 2013.](https://mlanthology.org/aaai/2013/faber2013aaai-abstract/) doi:10.1609/AAAI.V27I1.8593

BibTeX

@inproceedings{faber2013aaai-abstract,
  title     = {{Abstract Preference Frameworks - A Unifying Perspective on Separability and Strong Equivalence}},
  author    = {Faber, Wolfgang and Truszczynski, Miroslaw and Woltran, Stefan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {297-303},
  doi       = {10.1609/AAAI.V27I1.8593},
  url       = {https://mlanthology.org/aaai/2013/faber2013aaai-abstract/}
}