Sensitivity to Subjective Expected Utility Maximization: A Methodological Study, with an Illustrative Application to LLM Decision-Making

This paper introduces a methodological approach to measure how closely AI agents adhere to subjective expected utility maximization when making decisions under uncertainty.

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