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International Journal of Game Theory
Article . 1980 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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zbMATH Open
Article
Data sources: zbMATH Open
EconStor
Research . 1979
Data sources: EconStor
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On repeated games with incomplete information played by non-Bayesian players

Authors: Nimrod Megiddo;

On repeated games with incomplete information played by non-Bayesian players

Abstract

Unlike in the traditional theory of games of incomplete information, the players here arenot Bayesian, i.e. a player does not necessarily have any prior probability distribution as to what game is being played. The game is infinitely repeated. A player may be absolutely uninformed, i.e. he may know only how many strategies he has. However, after each play the player is informed about his payoff and, moreover, he has perfect recall. A strategy is described, that with probability unity guarantees (in the sense of the liminf of the average payoff) in any game, whatever the player could guarantee if he had complete knowledge of the game.

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Keywords

Stochastic games, stochastic differential games, infinite repetitions, ddc:330, incomplete information, 2-person games, repeated games, non-Bayesian players

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 1%
Average
bronze