ADAPTIVE AND SOPHISTICATED LEARNING IN NORMAL-FORM GAMES

被引:209
作者
MILGROM, P
ROBERTS, J
机构
[1] STANFORD UNIV,DEPT ECON,STANFORD,CA 94305
[2] STANFORD UNIV,GRAD SCH BUSINESS,STANFORD,CA 94305
关键词
D O I
10.1016/0899-8256(91)90006-Z
中图分类号
F [经济];
学科分类号
02 ;
摘要
In a class of games including some Cournot and Bertrand games, a sequence of plays converges to the unique Nash equilibrium if and only if the sequence is "consistent with adaptive learning" according to the new definition we propose. In the Arrow-Debreu model with gross substitutes, a sequence of prices converges to the competitive equilibrium if and only if the sequence is consistent with adaptive learning by price-setting market makers for the individual goods. Similar results are obtained for "sophisticated" learning. All the familiar learning algorithms generate play that is consistent with adaptive learning. Journal of Economic Literature Classification Numbers: 026, 021. © 1991.
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页码:82 / 100
页数:19
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