activity
20072026
most citedPerception Games and Privacy

25 citations · 30 across the 12 of their papers we have counts for

collaborators
Showing cs.GTShow all

9 papers · 1 filter

cs.GT2023

Selling Data to a Competitor (Extended Abstract)

Ronen Gradwohl, Moshe Tennenholtz

We study the costs and benefits of selling data to a competitor. Although selling all consumers' data may decrease total firm profits, there exist other selling mechanisms -- in wh…

cs.GT2023

Selling Data to a Competitor

Ronen Gradwohl, Moshe Tennenholtz

We study the costs and benefits of selling data to a competitor. Although selling all consumers' data may decrease total firm profits, there exist other selling mechanisms -- in wh…

cs.GT2022

Pareto-Improving Data-Sharing

Ronen Gradwohl, Moshe Tennenholtz

We study the effects of data sharing between firms on prices, profits, and consumer welfare. Although indiscriminate sharing of consumer data decreases firm profits due to the subs…

cs.GT2020

Algorithms for Persuasion with Limited Communication

Ronen Gradwohl, Niklas Hahn, Martin Hoefer +1

The Bayesian persuasion paradigm of strategic communication models interaction between a privately-informed agent, called the sender, and an ignorant but rational agent, called the…

cs.GT2020

Reaping the Informational Surplus in Bayesian Persuasion

Ronen Gradwohl, Niklas Hahn, Martin Hoefer +1

The Bayesian persuasion model studies communication between an informed sender and a receiver with a payoff-relevant action, emphasizing the ability of a sender to extract maximal…

cs.GT2020

Coopetition Against an Amazon

Ronen Gradwohl, Moshe Tennenholtz

This paper studies cooperative data-sharing between competitors vying to predict a consumer's tastes. We design optimal data-sharing schemes both for when they compete only with ea…