Original title: Automated Preferences Elicitation
Authors: Kárný, Miroslav ; Guy, Tatiana Valentine
Document type: Papers
Conference/Event: The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Sierra Nevada (ES), 2011-12-16 / 2011-12-16
Year: 2011
Language: eng
Abstract: Systems supporting decision making became almost inevitable in the modern complex world. Their efficiency depends on the sophisticated interfaces enabling a user take advantage of the support while respecting the increasing on-line information and incomplete, dynamically changing user’s preferences. The best decision making support is useless without the proper preference elicitation. The paper proposes a methodology supporting automatic learning of quantitative description of preferences. The proposed elicitation serves to fully probabilistic design, which is an extension of Bayesian decision making.
Keywords: Bayesian decision making; decision making; elicitation; fully probabilistic design
Project no.: CEZ:AV0Z10750506 (CEP), 1M0572 (CEP), GA102/08/0567 (CEP)
Funding provider: GA MŠk, GA ČR
Host item entry: The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), ISBN 978-80-903834-6-3

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2011/AS/karny-automated preferences elicitation.pdf
Original record: http://hdl.handle.net/11104/0202679

Permalink: http://www.nusl.cz/ntk/nusl-79550


The record appears in these collections:
Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers