information design

Bias Detection Via Signaling

Multi-Sender Persuasion: A Computational Perspective

We consider the multi-sender persuasion problem: multiple players with informational advantage signal to convince a single self-interested actor to take certain actions. This problem generalizes the seminal Bayesian Persuasion framework and is …

Generalized Principal-Agent Problem with a Learning Agent

We study a repeated Bayesian persuasion problem (and more generally, any generalized principal-agent problem with complete information) where the principal does not have commitment power and the agent uses algorithms to learn to respond to the …

Information Design with Unknown Prior

Sample Complexity of Forecast Aggregation

We consider a Bayesian forecast aggregation model where n experts, after observing private signals about an unknown binary event, report their posterior beliefs about the event to a principal, who then aggregates the reports into a single prediction …

Persuading a Behavioral Agent: Approximately Best Responding and Learning

The classic Bayesian persuasion model assumes a Bayesian and best-responding receiver. We study a relaxation of the Bayesian persuasion model where the receiver can approximately best respond to the sender's signaling scheme. We show that, under …