ML Anthology

Incremental Decision Making Under Risk with the Weighted Expected Utility Model

Hugo Gilbert, Nawal Benabbou, Patrice Perny, Olivier Spanjaard, Paolo Viappiani
IJCAI 2017 pp. 4588-4594
doi:10.24963/IJCAI.2017/640 /ijcai/2017/gilbert2017ijcai-incremental/

Abstract

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.

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Cite

Text

Gilbert et al. "Incremental Decision Making Under Risk with the Weighted Expected Utility Model." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/640

Markdown

[Gilbert et al. "Incremental Decision Making Under Risk with the Weighted Expected Utility Model." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/gilbert2017ijcai-incremental/) doi:10.24963/IJCAI.2017/640

BibTeX

@inproceedings{gilbert2017ijcai-incremental,
  title     = {{Incremental Decision Making Under Risk with the Weighted Expected Utility Model}},
  author    = {Gilbert, Hugo and Benabbou, Nawal and Perny, Patrice and Spanjaard, Olivier and Viappiani, Paolo},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {4588-4594},
  doi       = {10.24963/IJCAI.2017/640},
  url       = {https://mlanthology.org/ijcai/2017/gilbert2017ijcai-incremental/}
}