227 citations · 638 across the 77 of their papers we have counts for
88 papers
AI Behavioral Science: A Framework and Agenda
Matthew O. Jackson, Qiaozhu Me, Stephanie W. Wang +16
We discuss the challenges and opportunities present in the rapidly emerging area of ``AI Behavioral Science.'' We frame it via three subfields. First, as AI becomes ubiquitous and…
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…
Sponsored Question Answering
Tommy Mordo, Moshe Tennenholtz, Oren Kurland
The potential move from search to question answering (QA) ignited the question of how should the move from sponsored search to sponsored QA look like. We present the first formal a…
Competitive Retrieval: Going Beyond the Single Query
Haya Nachimovsky, Moshe Tennenholtz, Fiana Raiber +1
Previous work on the competitive retrieval setting focused on a single-query setting: document authors manipulate their documents so as to improve their future ranking for a given…
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…
The Value of Mediation in Long Cheap Talk
Itai Arieli, Ivan Geffner, Moshe Tennenholtz
In this paper, we study an extension of the classic long cheap talk equilibrium introduced by Aumann and Hart~\citeN{aumann-hart-03}, and ask how much can the players benefit from…