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Function-coherent gambles

Conference Paper Artificial Intelligence · Imprecise Probability · Uncertainty in Artificial Intelligence

Abstract

The desirable gambles framework provides a foundational approach to imprecise probability theory but relies heavily on linear utility assumptions. This paper introduces <em>function-coherent gambles</em>, a generalization that accommodates non-linear utility while preserving essential rationality properties. We establish core axioms for function-coherence and prove a representation theorem that characterizes acceptable gambles through continuous linear functionals. The framework is then applied to analyze various forms of discounting in intertemporal choice, including hyperbolic, quasi-hyperbolic, scale-dependent, and state-dependent discounting. We demonstrate how these alternatives to constant-rate exponential discounting can be integrated within the function-coherent framework. This unified treatment provides theoretical foundations for modeling sophisticated patterns of time preference within the desirability paradigm, bridging a gap between normative theory and observed behavior in intertemporal decision-making under genuine uncertainty.

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Context

Venue
International Symposium on Imprecise Probabilities: Theories and Applications
Archive span
2017-2025
Indexed papers
59
Paper id
40102206840756215
v2026.09.13