We present a model of uninformative persuasion in which individuals “think coarsely”: they
group situations into categories and apply the same model of inference to all situations …

This paper studies categorizations that are optimal for the purpose of making predictions. A
subject encounters an object (x, y). She observes the first component, x, and has to predict …

Racial discrimination in decision-making scenarios such as police arrests appears to be a
violation of expected utility theory. Drawing on results from the science of information, we …

What do we notice and how does this affect what we learn and come to believe? I present a
model of an agent who learns to make forecasts on the basis of freely available information …

Families of normal-form two-player games are categorized by players into K analogy classes
applying the K-means clustering technique to the data generated by the distributions of …

We study the efficiency of categorization of other agents as a way of saving cognitive
resources in the settings of a large normal-form game. We assume that, when an agent …

We consider a random-matching model in which every agent has a categorization (partition)
of his potential opponents. In equilibrium, the strategy of each player i is a best response to …

Normal-form two-player games are categorized by players into K analogy classes so as to
minimize the prediction error about the behavior of the opponent. This results in Clustered …

In many societies around the world, people attribute illness to supernatural forces, including
deities, spirits, and malevolent agents. Using observational data from sub-Saharan Africa …

The first chapter studies beliefs about the cause of disease and their implications for medical
decision-making. Using observational data from sub-Saharan Africa and an original data …