Divine Equilibrium
The Divinity Criterion or Divine Equilibrium or Universal Divinity is a refinement of Perfect Bayesian equilibrium in a signaling game proposed by Banks and Sobel (1987). One of the most widely applied refinement is the D1-Criterion. It is a restriction of receiver's beliefs to the type of senders for whom deviating towards an off-the-equilibrium message could improve their outcome compared to the equilibrium payoff. The Intuitive and Divinity Criterion: Interpretation and Step-by-Step Examples Felix Munoz-Garcia, Ana Espinola-Arredondo, Journal of Industrial Organization Education. Volume 5, Issue 1, Pages 1–20, ISSN (Online) 1935-5041, DOI: 10.2202/1935-5041.1024, March 2011 In addition to the restriction suggested by the Intuitive Criterion, the Divinity Criterion considers only those types which are most likely to send the off-the-equilibrium message. If more than one sender could benefit from the deviation, the Intuitive Criterion assigns equal probabilities for all the send ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Perfect Bayesian Equilibrium
In game theory, a Perfect Bayesian Equilibrium (PBE) is an equilibrium concept relevant for dynamic games with incomplete information (sequential Bayesian games). It is a refinement of Bayesian Nash equilibrium (BNE). A perfect Bayesian equilibrium has two components -- ''strategies'' and ''beliefs'': * The strategy of a player in given information set specifies his choice of action in that information set, which may depend on the history (on actions taken previously in the game). This is similar to a sequential game. * The belief of a player in a given information set determines what node in that information set he believes the game has reached. The belief may be a probability distribution over the nodes in the information set, and is typically a probability distribution over the possible ''types'' of the other players. Formally, a belief system is an assignment of probabilities to every node in the game such that the sum of probabilities in any information set is 1. The strate ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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Signaling Game
In game theory, a signaling game is a simple type of a dynamic Bayesian game.Subsection 8.2.2 in Fudenberg Trole 1991, pp. 326–331 The essence of a signalling game is that one player takes an action, the signal, to convey information to another player, where sending the signal is more costly if they are conveying false information. A manufacturer, for example, might provide a warranty for its product in order to signal to consumers that its product is unlikely to break down. The classic example is of a worker who acquires a college degree not because it increases their skill, but because it conveys their ability to employers. A simple signalling game would have two players, the sender and the receiver. The sender has one of two types that we might call "desirable" and "undesirable" with different payoff functions, where the receiver knows the probability of each type but not which one this particular sender has. The receiver has just one possible type. The sender moves first, ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
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The Intuitive Criterion
The intuitive criterion is a technique for equilibrium refinement in signaling games. It aims to reduce possible outcome scenarios by restricting the possible sender types to types who could obtain higher utility levels by deviating to off-the-equilibrium messages, and to types for which the off-the-equilibrium message is not equilibrium dominated. Background A signaling game is a game in which one player ("sender") has private information regarding his type. He sends a signal ("message") to the other player ("receiver") to indicate his type. The receiver then takes an action. Both the signal and the receiver action can affect both players' utilities. A '' Perfect Bayesian equilibrium (PBE)'' in such a game consists of three elements. * A ''sender strategy'' - a function from the sender type to a signal that maximizes this type's utility given the receiver strategy. * A ''receiver belief'' - a function from the signal to a probability distribution over sender types; the belief m ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |