{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:43:17Z","timestamp":1761896597060},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>This paper deals with decision making under risk with the Weighted Expected Utility (WEU) model, which is a model generalizing expected utility and providing stronger descriptive possibilities. We address the problem of identifying, within a given  set of  lotteries, a (near-)optimal solution for a given decision maker consistent with the WEU theory.  The WEU model is parameterized by two real-valued functions.  We propose here a new incremental elicitation procedure to progressively reduce the imprecision about these functions until a robust decision can be made. We also give experimental results showing the practical efficiency of our method.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/640","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T05:14:07Z","timestamp":1501218847000},"page":"4588-4594","source":"Crossref","is-referenced-by-count":2,"title":["Incremental Decision Making Under Risk with the Weighted Expected Utility Model"],"prefix":"10.24963","author":[{"given":"Hugo","family":"Gilbert","sequence":"first","affiliation":[{"name":"Sorbonne Universit\u00e9s, UPMC Univ Paris 06, CNRS LIP6 UMR 7606"}]},{"given":"Nawal","family":"Benabbou","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9s, UPMC Univ Paris 06, CNRS LIP6 UMR 7606"}]},{"given":"Patrice","family":"Perny","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9s, UPMC Univ Paris 06, CNRS LIP6 UMR 7606"}]},{"given":"Olivier","family":"Spanjaard","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9s, UPMC Univ Paris 06, CNRS LIP6 UMR 7606"}]},{"given":"Paolo","family":"Viappiani","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9s, UPMC Univ Paris 06, CNRS LIP6 UMR 7606"}]}],"member":"10584","event":{"number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"acronym":"IJCAI-2017","name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","start":{"date-parts":[[2017,8,19]]},"theme":"Artificial Intelligence","location":"Melbourne, Australia","end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T07:54:54Z","timestamp":1501228494000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/640"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/640","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}