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Games and Economic Behavior
Article . 2001 . Peer-reviewed
License: Elsevier TDM
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zbMATH Open
Article . 2001
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DBLP
Article . 2020
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Evolutionary Learning in Signalling Games

Evolutionary learning in signalling games
Authors: Jacobsen, Hans Jørgen; Jensen, Mogens; Sloth, Birgitte;

Evolutionary Learning in Signalling Games

Abstract

The authors study equilibrium selection by evolutionary learning in monotone two-type signalling games. The learning process they study extends that introduced by \textit{H. P. Young} [Econometrica 61, 57-84 (1993; Zbl 0773.90101)] to deal with incomplete information and sequential moves; it thus involves stochastic trembles. For vanishing trembles the process gives rise to strong selection among sequential equilibria; if the game has separating equilibria, then in the long run only play according to the Riley equilibrium frequently.

Country
Denmark
Keywords

equilibrium selection, learning, monotone signalling games; intuitive criterion; Riley equilibrium; evolutionary learning; separating equilibrium; pooling equilibrium, stochastic trembles, Signaling and communication in game theory, Rationality and learning in game theory, signalling games, jel: jel:C72

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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!
9
Average
Average
Top 10%
bronze