4 papers
A Revealed Preference Framework for AI Alignment
Elchin Suleymanov
Human decision makers increasingly delegate choices to AI agents, raising a natural question: does the AI implement the human principal's preferences or pursue its own? To study th…
Entropy Regularized Belief Reporting
Elchin Suleymanov
This paper investigates a model of partition dependence, a widely reported experimental finding where the agent's reported beliefs depend on how the states are grouped. In the mode…
Reference Dependence and Random Attention
Matthew Kovach, Elchin Suleymanov
We explore the ways that a reference point may direct attention. Utilizing a stochastic choice framework, we provide behavioral foundations for the Reference-Dependent Random Atten…
A Random Attention Model
Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu +1
This paper illustrates how one can deduce preference from observed choices when attention is not only limited but also random. In contrast to earlier approaches, we introduce a Ran…