IDEAS home Printed from https://ideas.repec.org/a/eee/gamebe/v29y1999i1-2p244-273.html
   My bibliography  Save this article

Optimal Properties of Stimulus--Response Learning Models

Author

Listed:
  • Rustichini, Aldo

Abstract

No abstract is available for this item.

Suggested Citation

  • Rustichini, Aldo, 1999. "Optimal Properties of Stimulus--Response Learning Models," Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 244-273, October.
    • Handle: RePEc:eee:gamebe:v:29:y:1999:i:1-2:p:244-273
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0899-8256(99)90712-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rustichini, A., 1998. "Sophisticated Players and Sophisticated Agents," Other publications TiSEM de5b9fc1-8021-4255-8a80-5, Tilburg University, School of Economics and Management.
    2. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    3. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
    4. David Easley & Aldo Rustichini, 1999. "Choice without Beliefs," Econometrica, Econometric Society, vol. 67(5), pages 1157-1184, September.
    5. Rustichini, A., 1998. "Sophisticated Players and Sophisticated Agents," Discussion Paper 1998-110, Tilburg University, Center for Economic Research.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thorsten Chmura & Thomas Pitz, 2007. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Experimental Congestion Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-1.
    2. Terracol, Antoine & Vaksmann, Jonathan, 2009. "Dumbing down rational players: Learning and teaching in an experimental game," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 54-71, May.
    3. Carlos Sáenz-Royo, 2017. "A plausible Decision Heuristics Model: Fallibility of human judgment as an endogenous problem," Working Papers 2017/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Chmura, Thorsten & Pitz, Thomas, 2004. "Minority Game: Experiments and Simulations of Traffic Scenarios," Bonn Econ Discussion Papers 23/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
    5. Selten, Reinhard & Schreckenberg, Michael & Pitz, Thomas & Chmura, Thorsten & Kube, Sebastian, 2002. "Experiments and Simulations on Day-to-Day Route Choice-Behaviour," Bonn Econ Discussion Papers 35/2002, University of Bonn, Bonn Graduate School of Economics (BGSE).
    6. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.
    7. Easley, David & Rustichini, Aldo, 2005. "Optimal guessing: Choice in complex environments," Journal of Economic Theory, Elsevier, vol. 124(1), pages 1-21, September.
    8. Ho, Teck H. & Camerer, Colin F. & Chong, Juin-Kuan, 2007. "Self-tuning experience weighted attraction learning in games," Journal of Economic Theory, Elsevier, vol. 133(1), pages 177-198, March.
    9. Shu-Heng Chen & Yi-Lin Hsieh, 2011. "Reinforcement Learning in Experimental Asset Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 109-133.
    10. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    11. Lefebvre, Germain & Nioche, Aurélien & Bourgeois-Gironde, Sacha & Palminteri, Stefano, 2018. "An Empirical Investigation of the Emergence of Money: Contrasting Temporal Difference and Opportunity Cost Reinforcement Learning," MPRA Paper 85586, University Library of Munich, Germany.
    12. Tilman Börgers & Antonio J. Morales & Rajiv Sarin, 2004. "Expedient and Monotone Learning Rules," Econometrica, Econometric Society, vol. 72(2), pages 383-405, March.
    13. Weibull, Jörgen W., 1997. "What have we learned from Evolutionary Game Theory so far?," Working Paper Series 487, Research Institute of Industrial Economics, revised 26 Oct 1998.
    14. 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.
    15. Chiang, Yao-Min & Hirshleifer, David & Qian, Yiming & Sherman, Ann, 2009. "Learning to Fail? Evidence from Frequent IPO Investors," MPRA Paper 16854, University Library of Munich, Germany, revised Aug 2009.
    16. Aaron Foote & Maryam Gooyabadi & Nikhil Addleman, 2023. "Factors in Learning Dynamics Influencing Relative Strengths of Strategies in Poker Simulation," Games, MDPI, vol. 14(6), pages 1-16, November.
    17. Osili, Una Okonkwo & Paulson, Anna, 2014. "Crises and confidence: Systemic banking crises and depositor behavior," Journal of Financial Economics, Elsevier, vol. 111(3), pages 646-660.
    18. Oyarzun, Carlos & Sarin, Rajiv, 2013. "Learning and risk aversion," Journal of Economic Theory, Elsevier, vol. 148(1), pages 196-225.
    19. Chmura, Thorsten & Pitz, Thomas, 2004. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games," Bonn Econ Discussion Papers 24/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
    20. Innocenti, Stefania & Cowan, Robin, 2019. "Self-efficacy beliefs and imitation: A two-armed bandit experiment," European Economic Review, Elsevier, vol. 113(C), pages 156-172.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:gamebe:v:29:y:1999:i:1-2:p:244-273. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622836 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.