IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v31y2002i4p423-429.html
   My bibliography  Save this article

Towards a new experimental socio-economics: Complex behaviour in bargaining

Author

Listed:
  • Lopez-Paredes, Adolfo
  • Hernandez-Iglesias, Cesareo
  • Gutierrez, Javier Pajares

Abstract

No abstract is available for this item.

Suggested Citation

  • Lopez-Paredes, Adolfo & Hernandez-Iglesias, Cesareo & Gutierrez, Javier Pajares, 2002. "Towards a new experimental socio-economics: Complex behaviour in bargaining," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 31(4), pages 423-429.
  • Handle: RePEc:eee:soceco:v:31:y:2002:i:4:p:423-429
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/B6W5H-45NY6T4-2/2/18a06763347852db006c4eaa922e4492
    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. Scott Moss & Helen Gaylard & Steve Wallis & Bruce Edmonds, 1998. "SDML: A Multi-Agent Language for Organizational Modelling," Computational and Mathematical Organization Theory, Springer, vol. 4(1), pages 43-69, March.
    2. Selten, Reinhard, 1998. "Features of experimentally observed bounded rationality," European Economic Review, Elsevier, vol. 42(3-5), pages 413-436, May.
    3. Cosmides, Leda & Tooby, John, 1994. "Better than Rational: Evolutionary Psychology and the Invisible Hand," American Economic Review, American Economic Association, vol. 84(2), pages 327-332, May.
    4. Roger B. Myerson, 1999. "Nash Equilibrium and the History of Economic Theory," Journal of Economic Literature, American Economic Association, vol. 37(3), pages 1067-1082, September.
    5. Brandts Jordi & Macleod W. Bentley, 1995. "Equilibrium Selection in Experimental Games with Recommended Play," Games and Economic Behavior, Elsevier, vol. 11(1), pages 36-63, October.
    6. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    7. Fernando Vega-Redondo, 1999. "Markets under bounded rationality: from theory to facts," Investigaciones Economicas, Fundación SEPI, vol. 23(1), pages 3-26, January.
    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. Crawford, VP, 2014. "Boundedly rational versus optimization-based models of strategic thinking and learning in games," University of California at San Diego, Economics Working Paper Series qt04h694rz, Department of Economics, UC San Diego.
    2. Vincent P. Crawford & Miguel A. Costa-Gomes & Nagore Iriberri, 2010. "Strategic Thinking," Levine's Working Paper Archive 661465000000001148, David K. Levine.
    3. 岡田, 章 & Okada, Akira, 2007. "ゲーム理論の歴史と現在 : 人間行動の解明を目指して, The History and Present State of Game Theory: Toward a Better Understanding of Human Behavior," Discussion Papers 2007-01, Graduate School of Economics, Hitotsubashi University.
    4. V. P. Crawford, 2014. "Boundedly rational versus optimization-based models of strategic thinking and learning in games," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 5.
    5. Alan Mehlenbacher, 2007. "Multiagent System Platform for Auction Simulations," Department Discussion Papers 0706, Department of Economics, University of Victoria.
    6. Werner Güth, 2006. "Satisficing in Portfolio Selection - Theoretical Aspects and Experimental Tests," Papers on Strategic Interaction 2006-16, Max Planck Institute of Economics, Strategic Interaction Group.
    7. Teck H. Ho & Noah Lim & Colin Camerer, 2005. "Modeling the Psychology of Consumer and Firm Behavior with Behavioral Economics," Levine's Bibliography 784828000000000476, UCLA Department of Economics.
    8. Catherine Eckel & Rick Wilson, 2007. "Social learning in coordination games: does status matter?," Experimental Economics, Springer;Economic Science Association, vol. 10(3), pages 317-329, September.
    9. Spiliopoulos, Leonidas, 2012. "Interactive learning in 2×2 normal form games by neural network agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5557-5562.
    10. Kanazawa, Satoshi, 2005. "Is "discrimination" necessary to explain the sex gap in earnings?," Journal of Economic Psychology, Elsevier, vol. 26(2), pages 269-287, April.
    11. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
    12. Benito Arruñada & Marcos Casarin & Francesca Pancotto, 2012. "Are Self-regarding Subjects More Rational?," Working Papers 611, Barcelona School of Economics.
    13. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
    14. Benaïm, Michel & Hofbauer, Josef & Hopkins, Ed, 2009. "Learning in games with unstable equilibria," Journal of Economic Theory, Elsevier, vol. 144(4), pages 1694-1709, July.
    15. Vincent P. Crawford & Nagore Iriberri, 2004. "Fatal Attraction: Focality, Naivete, and Sophistication in Experimental Hide-and-Seek Games," Levine's Bibliography 122247000000000345, UCLA Department of Economics.
    16. Oechssler, Jorg & Schipper, Burkhard, 2003. "Can you guess the game you are playing?," Games and Economic Behavior, Elsevier, vol. 43(1), pages 137-152, April.
    17. Isabelle Brocas & Juan D. Carrillo, 2022. "The development of randomization and deceptive behavior in mixed strategy games," Quantitative Economics, Econometric Society, vol. 13(2), pages 825-862, May.
    18. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    19. James Choi & David Laibson & Brigitte Madrain & Andrew Metrick, 2007. "Reinforcement Learning in Investment Behavior," Levine's Bibliography 122247000000001737, UCLA Department of Economics.
    20. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.

    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:soceco:v:31:y:2002:i:4:p:423-429. 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/620175 .

    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.