Abstract preference frameworks - A unifying perspective on separability and strong equivalence

Wolfgang Faber; Mirosław Truszczyński; Stefan Woltran

doi:10.1609/aaai.v27i1.8593

Abstract preference frameworks - A unifying perspective on separability and strong equivalence

Wolfgang Faber, Mirosław Truszczyński, Stefan Woltran

Computer Science

Producción científica: Conference contribution › revisión exhaustiva

8 Citas (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013
Páginas	297-303
Número de páginas	7
DOI	https://doi.org/10.1609/aaai.v27i1.8593
Estado	Published - 2013
Evento	27th AAAI Conference on Artificial Intelligence, AAAI 2013 - Bellevue, WA, United States Duración: jul 14 2013 → jul 18 2013

Serie de la publicación

Nombre	Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013

Conference

Conference	27th AAAI Conference on Artificial Intelligence, AAAI 2013
País/Territorio	United States
Ciudad	Bellevue, WA
Período	7/14/13 → 7/18/13

Financiación

Financiadores	Número del financiador
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China	0913459

ASJC Scopus subject areas

Artificial Intelligence

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10.1609/aaai.v27i1.8593

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title = "Abstract preference frameworks - A unifying perspective on separability and strong equivalence",

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.",

author = "Wolfgang Faber and Miros{\l}aw Truszczy{\'n}ski and Stefan Woltran",

year = "2013",

doi = "10.1609/aaai.v27i1.8593",

language = "English",

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series = "Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013",

pages = "297--303",

booktitle = "Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013",

note = "27th AAAI Conference on Artificial Intelligence, AAAI 2013 ; Conference date: 14-07-2013 Through 18-07-2013",

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Faber, W, Truszczyński, M & Woltran, S 2013, Abstract preference frameworks - A unifying perspective on separability and strong equivalence. En Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013, pp. 297-303, 27th AAAI Conference on Artificial Intelligence, AAAI 2013, Bellevue, WA, United States, 7/14/13. https://doi.org/10.1609/aaai.v27i1.8593

Abstract preference frameworks - A unifying perspective on separability and strong equivalence. / Faber, Wolfgang; Truszczyński, Mirosław; Woltran, Stefan.
Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. 2013. p. 297-303 (Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013).

Producción científica: Conference contribution › revisión exhaustiva

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Abstract preference frameworks - A unifying perspective on separability and strong equivalence

Resumen

Serie de la publicación

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Financiación

ASJC Scopus subject areas

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