151 research outputs found

    Competing Persuaders in Zero-Sum Games

    Full text link
    We study a Bayesian Persuasion game with multiple senders employing conditionally independent experiments. Senders have zero-sum preferences over what information is revealed. We characterize when a set of states cannot be pooled in any equilibrium, and in particular, when the state is (fully) revealed in every equilibrium. The state must be fully revealed in every equilibrium if and only if sender utility functions are sufficiently nonlinear. In the binary-state case, the state is fully revealed in every equilibrium if and only if some sender has nontrivial preferences. Our takeaway is that `most' zero-sum sender preferences result in full revelation.Comment: Version 1, August 202

    Bayesian Persuasion

    Get PDF
    When is it possible for one person to persuade another to change her action? We take a mechanism design approach to this question. Taking preferences and initial beliefs as given, we introduce the notion of a persuasion mechanism: a game between Sender and Receiver defined by an information structure and a message technology. We derive necessary and sufficient conditions for the existence of a persuasion mechanism that strictly benefits Sender. We characterize the optimal mechanism. Finally, we analyze several examples that illustrate the applicability of our results.

    Competitive Information Disclosure with Multiple Receivers

    Full text link
    This paper analyzes a model of competition in Bayesian persuasion in which two symmetric senders vie for the patronage of multiple receivers by disclosing information about the qualities (i.e., binary state -- high or low) of their respective proposals. Each sender is allowed to commit to a signaling policy where he sends a private (possibly correlated) signal to every receiver. The sender's utility is a monotone set function of receivers who make a patron to this sender. We characterize the equilibrium structure and show that the equilibrium is not unique (even for simple utility functions). We then focus on the price of stability (PoS) in the game of two senders -- the ratio between the best of senders' welfare (i.e., the sum of two senders' utilities) in one of its equilibria and that of an optimal outcome. When senders' utility function is anonymous submodular or anonymous supermodular, we analyze the relation between PoS with the ex ante qualities λ\lambda (i.e., the probability of high quality) and submodularity or supermodularity of utility functions. In particular, in both families of utility function, we show that PoS=1\text{PoS} = 1 when the ex ante quality λ\lambda is weakly smaller than 1/21/2, that is, there exists equilibrium that can achieve welfare in the optimal outcome. On the other side, we also prove that PoS>1\text{PoS} > 1 when the ex ante quality λ\lambda is larger than 1/21/2, that is, there exists no equilibrium that can achieve the welfare in the optimal outcome. We also derive the upper bound of PoS\text{PoS} as a function of λ\lambda and the properties of the value function. Our analysis indicates that the upper bound becomes worse as the ex ante quality λ\lambda increases or the utility function becomes more supermodular (resp.\ submodular)

    Persuasion with Coarse Communication

    Full text link
    Persuasion is an exceedingly difficult task. A leading cause of this difficulty is the misalignment of preferences, which is studied extensively by the literature on persuasion games. However, the difficulty of communication also has a first order effect on the outcomes and welfare of agents. Motivated by this observation, we study a model of Bayesian Persuasion in which the communication between the sender and the receiver is constrained. This is done by allowing the cardinality of the signal space to be less than the cardinality of the action space and the state space, which limits the number of action recommendations that the sender can make. Existence of a maximum to the sender's problem is proven and its properties are characterized. This generalizes the standard Bayesian Persuasion framework, in which existence results rely on the assumption of rich signal spaces. We analyze the sender's willingness to pay for an additional signal as a function of the prior belief, which can be interpreted as the value of precise communication. We provide an upper bound for this value which applies to all finite persuasion games. While increased precision is always better for the sender, we show that the receiver might prefer coarse communication. We show this by analyzing a game of advice seeking, where the receiver has the ability to choose the size of the signal space

    Collective Sampling: An Ex Ante Perspective

    Full text link
    I study collective dynamic information acquisition. Players determine when to end sequential sampling via a collective choice rule. My analysis focuses on the case of two players, but extends to many players. With two players, collective stopping is determined either unilaterally or unanimously. I develop a methodology to characterize equilibrium outcomes using an ex ante perspective on posterior distributions. Under unilateral stopping, each player chooses a mean-preserving contraction of the other's posterior distribution; under unanimous stopping, they choose meanpreserving spreads. Equilibrium outcomes can be determined via concavification. Players learn Pareto inefficiently: too little under unilateral stopping, while too much under unanimous stopping; these learning inefficiencies are amplified when players' preferences become less aligned. I demonstrate the value of my methodological approach in three applications: committee search, dynamic persuasion, and competition in persuasion
    corecore