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

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Abstract

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

Keywords

• Uncertainty in AI: Decision;Utility Theory
• Uncertainty in AI: Uncertainty in AI