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Learning across games

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  • Mengel, Friederike

Abstract

This paper studies the learning process carried out by two agents who are involved in many games. As distinguishing all games can be too costly (require too much reasoning resources) agents might partition the set of all games into categories. Partitions of higher cardinality are more costly. A process of simultaneous learning of actions and partitions is presented and equilibrium partitions and action choices characterized. Learning across games can destabilize strict Nash equilibria even for arbitrarily small reasoning costs and even if players distinguish all the games at the stable point. The model is also able to explain experimental findings from the travelerʼs dilemma and deviations from subgame perfection in bargaining games.

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Bibliographic Info

Article provided by Elsevier in its journal Games and Economic Behavior.

Volume (Year): 74 (2012)
Issue (Month): 2 ()
Pages: 601-619

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Handle: RePEc:eee:gamebe:v:74:y:2012:i:2:p:601-619

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Web page: http://www.elsevier.com/locate/inca/622836

Related research

Keywords: Learning; Bounded rationality; Categorization;

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Citations

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Cited by:
  1. Friederike Mengel & Emanuela Sciubba, 2010. "Extrapolation in Games of Coordination and Dominance Solvable Games," Working Papers 2010.148, Fondazione Eni Enrico Mattei.
  2. repec:hal:wpaper:halshs-00572528 is not listed on IDEAS
  3. Grimm, Veronika & Mengel, Friederike, 2009. "An Experiment on Learning in a Multiple Games Environment," Research Memorandum 007, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  4. Arina Nikandrova, 2013. "Repeated Play of Families of Games by Resource-Constrained Players," Games, MDPI, Open Access Journal, vol. 4(3), pages 339-346, July.
  5. Mohlin, Erik, 2012. "Evolution of theories of mind," Games and Economic Behavior, Elsevier, vol. 75(1), pages 299-318.
  6. Gabor Lugosi & Omiros Papaspiliopoulos & Gilles Stoltz, 2009. "Online Multi-task Learning with Hard Constraints," Working Papers hal-00362643, HAL.
  7. Christoph March, 2011. "Adaptive social learning," PSE Working Papers halshs-00572528, HAL.
  8. Mohlin, Erik, 2009. "Optimal Categorization," Working Paper Series in Economics and Finance 721, Stockholm School of Economics, revised 08 Jul 2009.
  9. Steiner, Jakub & Stewart, Colin, 2008. "Contagion through learning," Theoretical Economics, Econometric Society, vol. 3(4), December.
  10. Edward W. Piotrowski & Jan Sladkowski & Anna Szczypinska, 2007. "Reinforcement learning in market games," Papers 0710.0114, arXiv.org.
  11. K.J.M. De Jaegher & B. Hoyer, 2012. "Cooperation and the common enemy effect," Working Papers 12-24, Utrecht School of Economics.
  12. Heller, Yuval & Winter, Eyal, 2013. "Rule Rationality," MPRA Paper 48746, University Library of Munich, Germany.

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