Information Revelation Through Signalling
Reema Deori, Ankur A. Kulkarni

TL;DR
This paper characterizes the minimum number of source symbols a sender can reliably communicate in a signaling game, linking it to a graph-theoretic measure called the vertex clique cover number, and explores implications for equilibrium types.
Contribution
It provides an exact, utility-function-based characterization of the sender's informativeness in signaling games, applicable across all equilibria, and compares it with the receiver's information gain as a leader.
Findings
Informativeness equals the vertex clique cover number of a utility-induced graph.
Informativeness determines the existence of separating, pooling, and semi-separating equilibria.
Informativeness exceeds the receiver's information when the receiver is the leader.
Abstract
This paper studies a Stackelberg game wherein a sender (leader) attempts to shape the information of a less informed receiver (follower) who in turn takes an action that determines the payoff for both players. The sender chooses signals to maximize its own utility function while the receiver aims to ascertain the value of a source that is privately known to the sender. It is well known that such sender-receiver games admit a vast number of equilibria and not all signals from the sender can be relied on as truthful. Our main contribution is an exact characterization of the minimum number of distinct source symbols that can be correctly recovered by a receiver in \textit{any} equilibrium of this game; we call this quantity the \textit{informativeness} of the sender. We show that the informativeness is given by the \textit{vertex clique cover number} of a certain graph induced by the…
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Taxonomy
TopicsGame Theory and Applications · Economic theories and models · Auction Theory and Applications
