Dynamic consistency and decision making under vacuous belief

2012/02/14 by Phan H. Giang, Giang, Phan H.
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge

paper · pdf · doi:10.48550/arxiv.1202.3721

openalex publication_date 2012/02/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The ideas about decision making under ignorance in economics are combined with the ideas about uncertainty representation in computer science. The combination sheds new light on the question of how artificial agents can act in a dynamically consistent manner. The notion of sequential consistency is formalized by adapting the law of iterated expectation for plausibility measures. The necessary and sufficient condition for a certainty equivalence operator for Nehring-Puppe's preference to be sequentially consistent is given. This result sheds light on the models of decision making under uncertainty.

Citations

• The transferable belief model
• A Mathematical Theory of Evidence

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• Decision-Making Under Uncertainty: Beyond Probabilities