Models for Conditional Preferences as Extensions of CP-Nets
Abstract
This paper presents two frameworks that generalize Conditional Preference networks (CP-nets). The first generalization is the LCP-theory, first order logic theory that provides a rich framework to express preferences. The the second generalization, the PCP-networks, is a probabilistic generalization of CP-nets that models conditional preferences with uncertainty.
Cite
Text
Cornelio. "Models for Conditional Preferences as Extensions of CP-Nets." International Joint Conference on Artificial Intelligence, 2015.Markdown
[Cornelio. "Models for Conditional Preferences as Extensions of CP-Nets." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/cornelio2015ijcai-models/)BibTeX
@inproceedings{cornelio2015ijcai-models,
title = {{Models for Conditional Preferences as Extensions of CP-Nets}},
author = {Cornelio, Cristina},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2015},
pages = {4355-4356},
url = {https://mlanthology.org/ijcai/2015/cornelio2015ijcai-models/}
}