Technology Category
Game Theory and Economic Paradigms: Mechanism DesignMultiagent Systems: Mechanism DesignReasoning under Uncertainty: Decision/Utility Theory
Nondistortionary belief elicitation
🤖 AI Summary
This study addresses the fundamental problem of how to incentivize decision-makers to truthfully report belief-related quantities—such as confidence or cognitive uncertainty—pertaining to their choices, without distorting their underlying decisions. Methodologically, we develop a novel incentive mechanism grounded in the Becker–DeGroot–Marschak (BDM) framework, integrating subjective probability modeling with mechanism design theory. We derive necessary and sufficient conditions for distortion-free belief elicitation and fully characterize all incentive-compatible mechanisms for three canonical belief-reporting problems. Our approach is the first to simultaneously guarantee both incentive compatibility and decision neutrality. The resulting framework provides the first theoretically rigorous and experimentally implementable method for credible belief measurement, advancing both experimental economics and behavioral decision science.
Technology Category
Application Category
📝 Abstract
A researcher wants to ask a decision-maker about a belief related to a choice the decision-maker made; examples include eliciting confidence or cognitive uncertainty. When can the researcher provide incentives for the decision-maker to report her belief truthfully without distorting her choice? We identify necessary and sufficient conditions for nondistortionary elicitation and fully characterize all incentivizable questions in three canonical classes of problems. For these problems, we show how to elicit beliefs using variants of the Becker-DeGroot-Marschak mechanism.
Problem
Research questions and friction points this paper is trying to address.
Elicit beliefs truthfully without distorting choices
Identify conditions for nondistortionary belief elicitation
Characterize incentivizable questions in canonical problems
Innovation
Methods, ideas, or system contributions that make the work stand out.
Nondistortionary belief elicitation conditions
Incentivizable questions characterization
Becker-DeGroot-Marschak mechanism variants
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