Marie Laclau

dblp:150/1170 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0006-0558-0464ORCID · reported

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Artificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2024 A belief-based approach to signaling
abstract
In this paper, we provide a geometric characterization of the set of interim equilibrium payoffs in a general class of signaling games. To obtain a tractable characterization, we use the belief based approach found in the literature on repeated games with incomplete information, cheap talk and Bayesian persuasion. This approach avoids to specify the prior, the strategies of the sender and receiver, and the belief system. The key ingredient is to consider Bayes-plausible belief distributions that are incentive-compatible for the sender. Geometrically, this leads to a constrained convexification of the graphs of the interim value correspondences. Our characterization extends the analogous result for sender-receiver cheap talk games. We illustrate the results with some classical signaling games. We derive the best equilibrium payoff for the sender when his preferences are type-independent. For zero-sum preferences, we obtain an explicit formula for the ex-ante equilibrium payoff and establish a simple condition for the uniqueness of interim equilibrium payoffs.
Frédéric Koessler, Marie Laclau, Tristan Tomala
EC2