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- W2000279862 abstract "This paper describes the results of simulation experiments performed on a suite of learning algorithms. We focus on games in network contexts. These are contexts in which (1) agents have very limited information about the game and (2) play can be extremely asynchronous. There are many proposed learning algorithms in the literature. We choose a small sampling of such algorithms and use numerical simulation to explore the nature of asymptotic play. In particular, we explore the extent to which the asymptotic play depends on three factors: limited information, asynchronous play, and the degree of responsiveness of the learning algorithm. Journal of Economic Literature Classification Numbers: C63, C72." @default.
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- W2000279862 date "2001-04-01" @default.
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- W2000279862 title "Learning in Network Contexts: Experimental Results from Simulations" @default.
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- W2000279862 doi "https://doi.org/10.1006/game.2000.0835" @default.
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