A Savage-style Utility Theory for Belief Functions
A Savage-style Utility Theory for Belief Functions
Chunlai Zhou, Biao Qin, Xiaoyong Du
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Main track. Pages 5135-5141.
https://doi.org/10.24963/ijcai.2018/712
In this paper, we provide an axiomatic justification for decision making with belief functions by studying the belief-function counterpart of Savage's Theorem where the state space is finite and the consequence set is a continuum [l, M] (l
Keywords:
Uncertainty in AI: Decision;Utility Theory
Uncertainty in AI: Uncertainty in AI