Reasons and Means to Model Preferences as Incomplete. Cailloux, O. & Destercke, S. In Scalable Uncertainty Management, of Lecture Notes in Computer Science, pages 17–30, October, 2017. Springer. Article Arxiv Hal Github doi abstract bibtex Literature involving preferences of artificial agents or human beings often assume their preferences can be represented using a complete transitive binary relation. Much has been written however on different models of preferences. We review some of the reasons that have been put forward to justify more complex modeling, and review some of the techniques that have been proposed to obtain models of such preferences.
@inproceedings{cailloux_reasons_2017,
series = {Lecture {Notes} in {Computer} {Science}},
title = {Reasons and {Means} to {Model} {Preferences} as {Incomplete}},
keywords = {Preference modeling},
isbn = {978-3-319-67581-7 978-3-319-67582-4},
doi = {10.1007/978-3-319-67582-4_2},
abstract = {Literature involving preferences of artificial agents or human beings often assume their preferences can be represented using a complete transitive binary relation. Much has been written however on different models of preferences. We review some of the reasons that have been put forward to justify more complex modeling, and review some of the techniques that have been proposed to obtain models of such preferences.},
language = {en},
urldate = {2018-01-11},
booktitle = {Scalable {Uncertainty} {Management}},
publisher = {Springer},
author = {Cailloux, Olivier and Destercke, Sébastien},
month = oct,
year = {2017},
pages = {17--30},
url_Article = {https://arxiv.org/pdf/1801.01657},
url_arXiv = {https://arxiv.org/abs/1801.01657},
url_HAL = {https://hal.archives-ouvertes.fr/hal-01658459},
url_GitHub = {https://github.com/oliviercailloux/pref-modeling-survey}
}
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