„The paper develops a new theory for the analysis of games with incomplete information where the players are uncertain about some important parameters of the game situation, such as the payoff functions, the strategies available to various players, the information other players have about the game, etc. However, each player has a subjective probability distribution over the alternative possibilities.
In most of the paper it is assumed that these probability distributions entertained by the different players are mutually "consistent," in the sense that they can be regarded as conditional probability distributions derived from a certain "basic probability distribution" over the parameters unknown to the various players. But later the theory is extended also to cases where the different players' subjective probability distributions fail to satisfy this consistency assumption.“

Fonte: "Games with Incomplete Information Played by “Bayesian” Players," 1967, p. 159 : Abstract

Última atualização 4 de Junho de 2020. História
John Harsanyi photo
John Harsanyi
1920 - 2000

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Fonte: "Games with Incomplete Information Played by “Bayesian” Players," 1967, p. 171; As quoted in: Mertens, Jean-Francois, and Shmuel Zamir. " Formulation of Bayesian analysis for games with incomplete information http://jeremy-chen.org/sites/default/files/files/convexset/2013_01/formulation_of_bayesian_analysis_for_games_with_incomplete_information_mertens_and_zamir_1985.pdf." International Journal of Game Theory 14.1 (1985): p. 1-2

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