A Savage-Like Axiomatization for Nonstandard Expected Utility
Grant Molnar

TL;DR
This paper introduces a Savage-like axiomatization for nonstandard expected utility theory, relaxing Savage's sixth axiom to broaden the theoretical framework for decision-making under uncertainty.
Contribution
It presents a novel axiomatization of nonstandard expected utility theory, extending Savage's foundational work by weakening a key axiom.
Findings
A new axiomatization aligns with nonstandard expected utility models
The approach broadens the theoretical understanding of decision-making
It maintains consistency with Savage's original framework
Abstract
Since Leonard Savage's epoch-making "Foundations of Statistics", Subjective Expected Utility Theory has been the presumptive model for decision-making. Savage provided an act-based axiomatization of standard expected utility theory. In this article, we provide a Savage-like axiomatization of nonstandard expected utility theory. It corresponds to a weakening of Savage's 6th axiom.
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Taxonomy
TopicsMathematical and Theoretical Analysis · Computability, Logic, AI Algorithms · Advanced Topology and Set Theory
