Elicitation of Factored Utilities release_4zobadls3vc77dfpmhk7beh5wy

by Darius Braziunas, Craig Boutilier

Abstract

The effective tailoring of decisions to the needs and desires of specific users requires automated mechanisms for preference assessment. We provide a brief overview of recent direct preference elicitation methods: these methods ask users to answer (ideally, a small number of) queries regarding their preferences and use this information to recommend a feasible decision that would be (approximately) optimal given those preferences. We argue for the importance of assessing numerical utilities rather than qualitative preferences, and survey several utility elicitation techniques from artificial intelligence, operations research, and conjoint analysis.
In application/xml+jats format

Published in The AI Magazine by Association for the Advancement of Artificial Intelligence (AAAI)
ISSN-L 0738-4602
Volume 29
Page(s) 79
Release Date 2008-12-28
Publisher Association for the Advancement of Artificial Intelligence (AAAI)

Known Files and URLs

application/pdf  719.8 kB
sha1:928f68a2455961bd3ada...
web.archive.org (webarchive)
www.aaai.org:80 (web)
web.archive.org (webarchive)
Read Full Text
Type  article-journal
Stage   published
Date   2008-12-28
Container Metadata
Not in DOAJ
Not in ISSN ROAD
In Keepers Registery
ISSN-L:  0738-4602
Fatcat Entry
Work Entity
grouping other versions (eg, pre-print) and variants of this release
Cite This Release
Fatcat Bits

State is "active". Revision:
1df34836-f1c1-4e6f-b676-791a1991ce65
As JSON object via API