Learning in a Black Box
AbstractMany interactive environments can be represented as games, but they are so large and complex that individual players are in the dark about others' actions and the payoff structure.� This paper analyzes learning behavior in such 'black box' environments, where players' only source of information is their own history of actions taken and payoffs received.� Specifically we study voluntary contributions games.� We identify two robust features of the players' learning dynamics: search volatility and trend-following.� These features are clearly present when players have no information about the game; but also when players have full informaiton.� Convergence to Nash equilibrium occurs at about the same rate in both situations.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Oxford, Department of Economics in its series Economics Series Working Papers with number 653.
Date of creation: 23 Apr 2013
Date of revision:
learning; information; public goods games;
Find related papers by JEL classification:
- C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-04 (All new papers)
- NEP-CBE-2013-06-04 (Cognitive & Behavioural Economics)
- NEP-CTA-2013-06-04 (Contract Theory & Applications)
- NEP-EVO-2013-06-04 (Evolutionary Economics)
- NEP-EXP-2013-06-04 (Experimental Economics)
- NEP-GTH-2013-06-04 (Game Theory)
- NEP-HPE-2013-06-04 (History & Philosophy of Economics)
- NEP-MIC-2013-06-04 (Microeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sergiu Hart & Andreu Mas-Colell, 2003. "Uncoupled Dynamics Do Not Lead to Nash Equilibrium," American Economic Review, American Economic Association, vol. 93(5), pages 1830-1836, December.
- Sergiu Hart & Andreu Mas-Colell, 2004.
"Stochastic Uncoupled Dynamics and Nash Equilibrium,"
Discussion Paper Series
dp371, The Center for the Study of Rationality, Hebrew University, Jerusalem.
- Hart, Sergiu & Mas-Colell, Andreu, 2006. "Stochastic uncoupled dynamics and Nash equilibrium," Games and Economic Behavior, Elsevier, vol. 57(2), pages 286-303, November.
- Sergiu Hart & Andreu Mas-Colell, 2004. "Stochastic Uncoupled Dynamics and Nash Equilibrium," Levine's Bibliography 122247000000000466, UCLA Department of Economics.
- Sergiu Hart & Andreu Mas-Colell, 2004. "Stochastic uncoupled dynamics and Nash equilibrium," Economics Working Papers 783, Department of Economics and Business, Universitat Pompeu Fabra.
- Sergiu Hart & Andreu Mas-Colell, 2004. "Stochastic Uncoupled Dynamics and Nash Equilibrium," Working Papers 174, Barcelona Graduate School of Economics.
- Germano, Fabrizio & Lugosi, Gabor, 2007.
"Global Nash convergence of Foster and Young's regret testing,"
Games and Economic Behavior,
Elsevier, vol. 60(1), pages 135-154, July.
- Fabrizio Germano & Gábor Lugosi, 2004. "Global Nash convergence of Foster and Young's regret testing," Economics Working Papers 788, Department of Economics and Business, Universitat Pompeu Fabra.
- Ralph-C Bayer & Elke Renner & Rupert Sausbruber, 2012.
"Confusion and Learning in the Voluntary Contributions Game,"
2012-18, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
- Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2013. "Confusion and learning in the voluntary contributions game," Experimental Economics, Springer, vol. 16(4), pages 478-496, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Caroline Wise).
If references are entirely missing, you can add them using this form.