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MENTAL MODEL · M13004

Bayesian Game

Bayesian Game
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Version 1.0.0 · Updated 2026-07-28

CORE DEFINITION

In game theory, a Bayesian game refers to a game in which players do not have complete information about the payoff functions of their opponents; hence, it is also known as a game of incomplete information. It is named so because it uses Bayes' rule for probabilistic analysis. The Hungarian economist John C. Harsanyi introduced the concept of Bayesian games in three papers in 1967 and 1968, for which he was awarded the Nobel Memorial Prize in Economic Sciences in 1994.

SCAFFOLDING EFFECT

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Reduce cognitive load

In game theory, a Bayesian game refers to a game in which players do not have complete information about the payoff functions of their opponents; hence, it is also known as a game of incomplete information. It is named so because it uses Bayes' rule for probabilistic analysis.

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Players have only probabilistic beliefs (priors) about the types/preferences of others, and update their beliefs after observing actions; the equilibrium is a Bayesian Nash equilibrium.

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Source support: Explicit

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    zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E8%B4%9D%E5%8F%B6%E6%96%AF%E5%8D%9A%E5%BC%88ZH · Explicit
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