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Naive Reinforcement Learning with Endogenous Aspirations

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Cited by:

  1. Mengel, Friederike, 2012. "Learning across games," Games and Economic Behavior, Elsevier, vol. 74(2), pages 601-619.
  2. Victor Aguirregabiria, 2021. "Identification of firms’ beliefs in structural models of market competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(1), pages 5-33, February.
  3. Kosec, Katrina & Hameed, Madeeha & Hausladen, Stephanie, 2012. "Aspirations in rural Pakistan: An empirical analysis," PSSP working papers 9, International Food Policy Research Institute (IFPRI).
  4. Droste, Edward & Kosfeld, Michael & Voorneveld, Mark, 2003. "Best-reply matching in games," Mathematical Social Sciences, Elsevier, vol. 46(3), pages 291-309, December.
  5. Kosec, Katrina & Mo, Cecilia Hyunjung, 2017. "Aspirations and the Role of Social Protection: Evidence from a Natural Disaster in Rural Pakistan," World Development, Elsevier, vol. 97(C), pages 49-66.
  6. Costel Andonie & Daniel Diermeier, 2022. "Electoral Institutions with impressionable voters," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 59(3), pages 683-733, October.
  7. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
  8. Tilman Börgers & Antonio J. Morales & Rajiv Sarin, 2004. "Expedient and Monotone Learning Rules," Econometrica, Econometric Society, vol. 72(2), pages 383-405, March.
  9. Hopkins, Ed, 2007. "Adaptive learning models of consumer behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 348-368.
  10. Elizaveta Perova & Renos Vakis, 2013. "Improving Gender and Development Outcomes through Agency : Policy Lessons from Three Peruvian Experiences [Promoviendo la capacidad de decidir y actuar : una ruta hacia políticas más efectivas]," World Bank Publications - Reports 16259, The World Bank Group.
  11. Chai, Junyi, 2021. "A model of ambition, aspiration and happiness," European Journal of Operational Research, Elsevier, vol. 288(2), pages 692-702.
  12. F. de Vries, 1999. "The Behavioral Firm and Its Internal Game: Evolutionary Dynamics of Decision Making," Working Papers ir99036, International Institute for Applied Systems Analysis.
  13. Jaspersen, Johannes G. & Montibeller, Gilberto, 2020. "On the learning patterns and adaptive behavior of terrorist organizations," European Journal of Operational Research, Elsevier, vol. 282(1), pages 221-234.
  14. Lekfuangfu, Warn N. & Odermatt, Reto, 2022. "All I have to do is dream? The role of aspirations in intergenerational mobility and well-being," European Economic Review, Elsevier, vol. 148(C).
  15. Dana Heller, 2000. "Parametric Adaptive Learning," Econometric Society World Congress 2000 Contributed Papers 1496, Econometric Society.
  16. Guerdjikova, Ani, 2006. "Portfolio Choice and Asset Prices in an Economy Populated by Case-Based Decision Makers," Working Papers 06-13, Cornell University, Center for Analytic Economics.
  17. Albert Burgos, 2002. "Learning to deal with risk: what does reinforcement learning tell us about risk attitudes?," Economics Bulletin, AccessEcon, vol. 4(10), pages 1-13.
  18. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
  19. Drew Fudenberg & David K Levine, 2006. "An Economists Perspective on Multi-Agent Learning," Levine's Working Paper Archive 784828000000000683, David K. Levine.
  20. TANABE Yasuo, 2004. "A Result for Approximation of Imitational Behavior in Large Populations," ESRI Discussion paper series 084, Economic and Social Research Institute (ESRI).
  21. Erev, Ido & Bereby-Meyer, Yoella & Roth, Alvin E., 1999. "The effect of adding a constant to all payoffs: experimental investigation, and implications for reinforcement learning models," Journal of Economic Behavior & Organization, Elsevier, vol. 39(1), pages 111-128, May.
  22. Oyarzun, Carlos & Sarin, Rajiv, 2013. "Learning and risk aversion," Journal of Economic Theory, Elsevier, vol. 148(1), pages 196-225.
  23. 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.
  24. MacLeod, W. Bentley & Pingle, Mark, 2005. "Aspiration uncertainty: its impact on decision performance and process," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 617-629, April.
  25. Luc Wathieu, 2004. "Consumer Habituation," Management Science, INFORMS, vol. 50(5), pages 587-596, May.
  26. Knudsen, Thorbjørn, 2008. "Reference groups and variable risk strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 66(1), pages 22-36, April.
  27. Rivas, Javier, 2013. "Probability matching and reinforcement learning," Journal of Mathematical Economics, Elsevier, vol. 49(1), pages 17-21.
  28. Gabriel Galand, 2009. "The Neutrality of Money Revisited with a Bottom-Up Approach: Decentralisation, Limited Information and Bounded Rationality," Computational Economics, Springer;Society for Computational Economics, vol. 33(4), pages 337-360, May.
  29. Dean P Foster & Peyton Young, 2006. "Regret Testing Leads to Nash Equilibrium," Levine's Working Paper Archive 784828000000000676, David K. Levine.
  30. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
  31. Sarin, Rajiv & Vahid, Farshid, 2001. "Predicting How People Play Games: A Simple Dynamic Model of Choice," Games and Economic Behavior, Elsevier, vol. 34(1), pages 104-122, January.
  32. Dixon, Huw D. & Sbriglia, Patrizia & Somma, Ernesto, 2006. "Learning to collude: An experiment in convergence and equilibrium selection in oligopoly," Research in Economics, Elsevier, vol. 60(3), pages 155-167, September.
  33. Martin Posch, 2001. "Win Stay, Lose Shift or Imitatation – Only the Choice of Peers Counts," Vienna Economics Papers vie0109, University of Vienna, Department of Economics.
  34. Friederike Wall, 2023. "Modeling managerial search behavior based on Simon’s concept of satisficing," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 265-299, June.
  35. Mikhael Shor, 2003. "Learning to Respond: The Use of Heuristics in Dynamic Games," Game Theory and Information 0301001, University Library of Munich, Germany.
  36. Lahkar, Ratul & Seymour, Robert M., 2014. "The dynamics of generalized reinforcement learning," Journal of Economic Theory, Elsevier, vol. 151(C), pages 584-595.
  37. Oechssler, Jorg, 2002. "Cooperation as a result of learning with aspiration levels," Journal of Economic Behavior & Organization, Elsevier, vol. 49(3), pages 405-409, November.
  38. Laslier, Jean-Francois & Topol, Richard & Walliser, Bernard, 2001. "A Behavioral Learning Process in Games," Games and Economic Behavior, Elsevier, vol. 37(2), pages 340-366, November.
  39. Eyran Gisches & Amnon Rapoport, 2012. "Degrading network capacity may improve performance: private versus public monitoring in the Braess Paradox," Theory and Decision, Springer, vol. 73(2), pages 267-293, August.
  40. F. de Vries, 1999. "The Behavioral Firm and Its Internal Game: Evolutionary Dynamics of Decision Making," Working Papers ir99036, International Institute for Applied Systems Analysis.
  41. Ed Hopkins, 2002. "Adaptive Learning Models of Consumer Behaviour (first version)," Edinburgh School of Economics Discussion Paper Series 80, Edinburgh School of Economics, University of Edinburgh.
  42. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Gotts, Nicholas M. & Polhill, J. Gary, 2007. "Transient and asymptotic dynamics of reinforcement learning in games," Games and Economic Behavior, Elsevier, vol. 61(2), pages 259-276, November.
  43. Enrique Fatás & Francisca Jiménez & Antonio Morales, 2011. "Controlling for initial endowment and experience in binary choice tasks," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 227-243, December.
  44. Napel, Stefan, 2003. "Aspiration adaptation in the ultimatum minigame," Games and Economic Behavior, Elsevier, vol. 43(1), pages 86-106, April.
  45. repec:esj:esridp:84 is not listed on IDEAS
  46. Alanyali, Murat, 2010. "A note on adjusted replicator dynamics in iterated games," Journal of Mathematical Economics, Elsevier, vol. 46(1), pages 86-98, January.
  47. Sawa, Ryoji & Wu, Jiabin, 2018. "Prospect dynamics and loss dominance," Games and Economic Behavior, Elsevier, vol. 112(C), pages 98-124.
  48. Guney, Begum & Richter, Michael & Tsur, Matan, 2018. "Aspiration-based choice," Journal of Economic Theory, Elsevier, vol. 176(C), pages 935-956.
  49. Salvador Barberà & Geoffroy de Clippel & Alejandro Neme & Kareen Rozen, 2022. "Order-k rationality," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(4), pages 1135-1153, June.
  50. Golosnoy, Vasyl & Okhrin, Yarema, 2008. "General uncertainty in portfolio selection: A case-based decision approach," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 718-734, September.
  51. Lahkar, Ratul, 2017. "Equilibrium selection in the stag hunt game under generalized reinforcement learning," Journal of Economic Behavior & Organization, Elsevier, vol. 138(C), pages 63-68.
  52. Lahkar, Ratul & Seymour, Robert M., 2013. "Reinforcement learning in population games," Games and Economic Behavior, Elsevier, vol. 80(C), pages 10-38.
  53. repec:ebl:ecbull:v:4:y:2002:i:10:p:1-13 is not listed on IDEAS
  54. Norman, Thomas W.L., 2023. "Pigouvian algorithmic platform design," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 322-332.
  55. Marco Sahm & Robert K. von Weizsäcker & Robert K. von Weizsäcker, 2014. "Reason, Intuition, and Time," CESifo Working Paper Series 5134, CESifo.
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