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Learning to speculate: Experiments with artificial and real agents

Citations

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Cited by:

  1. Davis, Douglas & Korenok, Oleg & Norman, Peter & Sultanum, Bruno & Wright, Randall, 2022. "Playing with money," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1221-1239.
  2. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
  3. repec:hal:spmain:info:hdl:2441/4kidd5kmrd8huad84htlv8ih5r is not listed on IDEAS
  4. Erik Kimbrough, 2011. "Learning to respect property by refashioning theft into trade," Experimental Economics, Springer;Economic Science Association, vol. 14(1), pages 84-109, March.
  5. Frasser, Cristian & Guzmán, Gabriel, 2020. "What do we call money? An appraisal of the money or non-money view," Journal of Institutional Economics, Cambridge University Press, vol. 16(1), pages 25-40, February.
  6. Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.
  7. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
  8. Janet Hua Jiang & Peter Norman & Daniela Puzzello & Bruno Sultanum & Randall Wright, 2024. "Is Money Essential? An Experimental Approach," Journal of Political Economy, University of Chicago Press, vol. 132(9), pages 2972-2998.
  9. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
  10. Sylvie Geisendorf, 2018. "Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 921-951, October.
  11. Ricciuti, Roberto, 2008. "Bringing macroeconomics into the lab," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 216-237, March.
  12. Sergiy Gerasymchuk, 2008. "Asset return and wealth dynamics with reference dependent preferences and heterogeneous beliefs," Working Papers 160, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  13. John Duffy, 2008. "Macroeconomics: A Survey of Laboratory Research," Working Paper 334, Department of Economics, University of Pittsburgh, revised Jun 2014.
  14. Maurizio Iacopetta, 2019. "The emergence of money: a dynamic analysis," SciencePo Working papers Main hal-03403573, HAL.
  15. Zakaria Babutsidze & Maurizio Iacopetta, 2021. "The Emergence of Money: Computational Approaches with Fully and Boundedly Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 3-26, June.
  16. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2007. "Asset price dynamics with small world interactions under hetereogeneous beliefs," Working Papers 149, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  17. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
  18. William Luther, 2014. "Evenly rotating economy: A new modeling technique for an old equilibrium construct," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 27(4), pages 403-417, December.
  19. Peter Rupert & Martin Schindler & Andrei Shevchenko & Randall Wright, 2000. "The search-theoretic approach to monetary economics: a primer," Economic Review, Federal Reserve Bank of Cleveland, issue Q IV, pages 10-28.
  20. Gerasymchuk, S. & Pavlov, O.V., 2010. "Asset Price Dynamics with Local Interactions under Heterogeneous Beliefs," CeNDEF Working Papers 10-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  21. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
  22. Hong, Jieying & Moinas, Sophie & Pouget, Sébastien, 2021. "Learning in speculative bubbles: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 1-26.
  23. Aurélien Nioche & Basile Garcia & Germain Lefebvre & Thomas Boraud & Nicolas P. Rougier & Sacha Bourgeois-Gironde, 2019. "Coordination over a unique medium of exchange under information scarcity," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-11, December.
  24. Sacha Bourgeois-Gironde & Marcin Czupryna, 2021. "On the Extension of the Kiyotaki and Wright model to Transformable Goods," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 989-1014, April.
  25. Pingle, Mark & Tesfatsion, Leigh, 2001. "Non-Employment Benefits and the Evolution of Worker-Employer Cooperation: Experiments with Real and Computational Agents," ISU General Staff Papers 200106010700001053, Iowa State University, Department of Economics.
  26. Mario Villalpando, 2014. "Bank Credit and Productivity: Evidence from Mexican Firms," Remef - The Mexican Journal of Economics and Finance, Instituto Mexicano de Ejecutivos de Finanzas. Remef, October.
  27. March, Christoph, 2019. "The behavioral economics of artificial intelligence: Lessons from experiments with computer players," BERG Working Paper Series 154, Bamberg University, Bamberg Economic Research Group.
  28. Megyeri, Krisztina, 2001. "A pénz mint általános csereeszköz modellezése [Modelling money as a general medium of exchange]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 307-319.
  29. Kindler, A. & Bourgeois-Gironde, S. & Lefebvre, G. & Solomon, S., 2017. "New leads in speculative behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 365-379.
  30. repec:wyi:journl:002151 is not listed on IDEAS
  31. 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.
  32. Bornholdt, Stefan & Wagner, Friedrich, 2002. "Stability of money: phase transitions in an Ising economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 453-468.
  33. Maurizio Iacopetta, 2019. "The emergence of money: a dynamic analysis," Post-Print hal-03403573, HAL.
  34. Mario Villalpando, 2014. "Bank Credit and Productivity: Evidence from Mexican Firms," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 9(2), pages 195-211, Julio-Dic.
  35. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
  36. 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.
  37. Alexander W. Salter & William J. Luther, 2014. "Synthesizing State and Spontaneous Order Theories of Money," Advances in Austrian Economics, in: Entangled Political Economy, volume 18, pages 161-178, Emerald Group Publishing Limited.
  38. William Luther, 2016. "Mises and the moderns on the inessentiality of money in equilibrium," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 29(1), pages 1-13, March.
  39. Hong, Jieying & Moinas, Sophie & Pouget, Sébastien, 2018. "Learning in Speculative Bubbles: An Experiment," TSE Working Papers 18-882, Toulouse School of Economics (TSE).
  40. Eduardo Ferraciolli & Tanya Araújo, 2023. "Agent-based Modeling and the Sociology of Money: a Framework for the Study of Coordination and Plurality," Working Papers REM 2023/0285, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
  41. Frank M. A. Klingert & Matthias Meyer, 2012. "Effectively combining experimental economics and multi-agent simulation: suggestions for a procedural integration with an example from prediction markets research," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 63-90, March.
  42. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
  43. Alexander Salter & Solomon Stein, 2016. "Endogenous currency formation in an online environment: The case of Diablo II," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 29(1), pages 53-66, March.
  44. repec:spo:wpmain:info:hdl:2441/4kidd5kmrd8huad84htlv8ih5r is not listed on IDEAS
  45. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
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