Download full text
(341.3Kb)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-281143
Exports for your reference manager
Learning to play 3x3 games: neural networks as bounded-rational players
[journal article]
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... view more
"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]... view less
Classification
Economics
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
neural networks; normal-form games; bounded rationality
Document language
English
Publication Year
2008
Page/Pages
p. 27-38
Journal
Journal of Economic Behavior & Organization, 69 (2008) 1
DOI
https://doi.org/10.1016/j.jebo.2008.09.008
Status
Postprint; peer reviewed
Licence
PEER Licence Agreement (applicable only to documents from PEER project)