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Learning to play 3x3 games: neural networks as bounded-rational players
[Zeitschriftenartikel]
Abstract "We present a neural network methodology for learning game-playing rules in general. Existing research suggests learning to find a Nash equilibrium in a new game is too difficult a task for a neural network, but says little about what it will do instead. We observe that a neural network trained to f... mehr
"We present a neural network methodology for learning game-playing rules in general. Existing research suggests learning to find a Nash equilibrium in a new game is too difficult a task for a neural network, but says little about what it will do instead. We observe that a neural network trained to find Nash equilibria in a known subset of games will use self-taught rules developed endogenously when facing new games. These rules are close to payoff dominance and its best response. Our findings are consistent with existing experimental results, both in terms of subject's methodology and success rates." [author's abstract]... weniger
Klassifikation
Wirtschaftswissenschaften
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
neural networks; normal-form games; bounded rationality
Sprache Dokument
Englisch
Publikationsjahr
2008
Seitenangabe
S. 27-38
Zeitschriftentitel
Journal of Economic Behavior & Organization, 69 (2008) 1
DOI
https://doi.org/10.1016/j.jebo.2008.09.008
Status
Postprint; begutachtet (peer reviewed)
Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)