9 papers
AI Behavioral Science
Matthew O. Jackson, Qiaozhu Me, Stephanie W. Wang +16
We outline a foundation for a new field of ``AI Behavioral Science,'' covering three perspectives. First, as AI becomes ubiquitous and is increasingly proprietary and opaque, it be…
Robust Price Discrimination
Itai Arieli, Yakov Babichenko, Omer Madmon +1
We consider a model of third-degree price discrimination where the seller's product valuation is unknown to the market designer, who aims to maximize buyer surplus by revealing buy…
When Competition Helps: Achieving Optimal Traffic Flow with Multiple Autonomous Planners
Ivan Geffner, Erez Karpas, Moshe Tennenholtz
The inefficiency of selfish routing in congested networks is a classical problem in algorithmic game theory, often captured by the Price of Anarchy (i.e., the ratio between the soc…
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents
Omer Madmon, Idan Pipano, Itamar Reinman +1
We study a game-theoretic information retrieval model in which strategic publishers aim to maximize their chances of being ranked first by the search engine while maintaining the i…
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation
Eilam Shapira, Omer Madmon, Reut Apel +2
Recent advances in Large Language Models (LLMs) have spurred interest in designing LLM-based agents for tasks that involve interaction with human and artificial agents. This paper…
Predicting human decisions with behavioral theories and machine learning
Ori Plonsky, Reut Apel, Eyal Ert +9
Predicting human decisions under risk and uncertainty remains a fundamental challenge across disciplines. Existing models often struggle even in highly stylized tasks like choice b…