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Topic

   Preference Modeling and Reasoning


Abstract

A key challenge in the representation of qualitative, multi-criteria preferences is to find a compact and expressive representation. Various frameworks have been introduced, each of which with its own distinguishing features. In this paper we introduce a new representation framework called qualitative preference systems (QPS), which combines priority, cardinality and conditional preferences. Moreover, the framework incorporates knowledge that serves two purposes: to impose (hard) constraints, but also to define new (abstract) concepts. In short, QPS offers a rich and practical representation for qualitative, multi-criteria preferences.


Bibtex info
@inproceedings{visser_framework_2012,
    title = {A {FRAMEWORK} {FOR} {QUALITATIVE} {MULTI}-{CRITERIA} {PREFERENCES}},
    isbn = {978-989-8425-95-9},
    doi = {10.5220/0003718302430248},
    booktitle = {Proceedings of the 4th {International} {Conference} on {Agents} and {Artificial} {Intelligence} - {Volume} 2: {ICAART},},
    publisher = {SciTePress},
    author = {Visser, Wietske and Aydoğan, Reyhan and Hindriks, Koen V. and Jonker, Catholijn M.},
    year = {2012},
    note = {Backup Publisher: INSTICC
ISSN: 2184-433X},
    pages = {243--248},
}

Authors
Wietske Visser ; Reyhan Aydoğan ; Koen V. Hindriks and Catholijn M. Jonker

Keywords - tags
Artificial Intelligence, Cognitive Systems, Computational Intelligence, Knowledge Representation and Reasoning, Symbolic Systems, Multi-criteria preferences, Qualitative Preference Systems, Preference Representation

Publication type
Conference paper

Year
2012