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Models for Conditional Preferences as extensions of CP-nets

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4355-4355.

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.

Cristina Cornelio. 2015. Models for Conditional Preferences as extensions of CP-nets. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4355–4355. https://ijcai.org/proceedings/2015/625
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