@inproceedings{342710c1349243f0acade7012ee65c7f,
title = "Action Selection Under Uncertainty and Risk Involving High Consequence Rare Events",
abstract = "This paper describes an approach to decision making for action selection in the presence of high consequence rare events. A model presented in the paper is an adaptation of the Multiple Quantile Theory that evaluates actions based on Choquet utility while considering decision making attitudes towards gains and losses. In our model, the capacities used for computing Choquet utility are based on the belief structure resulting from situation assessment, which allows for eliminating a priori parameter selection required by the Multiple Quantile Theory. A use case designed to illustrate the feasibility of the model in a simple military scenario is also presented.",
keywords = "Belief functions, Choquet Utility, Decision Theory, Expected Utility, High Consequence Rare Events, Multiple Quantile Theory, Transferable Belief Model",
author = "Rogova, \{Galina L.\} and Roman Ilin",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2018 ; Conference date: 11-06-2018 Through 14-06-2018",
year = "2018",
month = jul,
day = "31",
doi = "10.1109/COGSIMA.2018.8424001",
language = "English",
isbn = "9781538652886",
series = "Proceedings - 2018 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8--14",
editor = "Gundersen, \{Odd Erik\} and Christian Lebiere and Rogova, \{Galina L.\} and Ken Baclawski and Andrea Salfinger",
booktitle = "Proceedings - 2018 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2018",
address = "United States",
}