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Citations for "Agent-Based Models and Human Subject Experiments"

by John Duffy

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  1. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337 Elsevier.
  2. Feldman, Todd & Friedman, Daniel, 2008. "Humans, Robots and Market Crashes: A Laboratory Study ∗," Santa Cruz Department of Economics, Working Paper Series qt4kf382p6, Department of Economics, UC Santa Cruz.
  3. 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.
  4. Mikhail Anufriev & Jasmina Arifovic & John Ledyard & Valentyn Panchenko, 2013. "Efficiency of continuous double auctions under individual evolutionary learning with full or limited information," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 539-573, July.
  5. Sven Banisch & Tanya Araujo & Jorge Louçã, 2009. "Opinion Dynamics and Communication Networks," Working Papers Department of Economics 2009/16, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  6. Kimbrough, Erik O., 2011. "Heuristic learning and the discovery of specialization and exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 35(4), pages 491-511, April.
  7. Hommes, Cars & Lux, Thomas, 2013. "Individual Expectations And Aggregate Behavior In Learning-To-Forecast Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 17(02), pages 373-401, March.
  8. Miller, Ross M., 2008. "Don't let your robots grow up to be traders: Artificial intelligence, human intelligence, and asset-market bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 153-166, October.
  9. Andreas Klein, 2011. "Die Entwicklung eines agentenbasierten Basismodells zur Bestimmung der deckungsbeitragsmaximierenden Anzahl von Außendienstmitarbeitern," Metrika, Springer, vol. 21(2), pages 189-210, January.
  10. Moulet, Sonia & Rouchier, Juliette, 2008. "The influence of seller learning and time constraints on sequential bargaining in an artificial perishable goods market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2322-2348, July.
  11. Block, C.A. & Collins, J. & Ketter, W. & Weinhardt, C., 2009. "A Multi-Agent Energy Trading Competition," ERIM Report Series Research in Management ERS-2009-054-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  12. Michael Pickhardt, . "A few can do – Ethical behavior and the provision of public goods in an agent-based model," Working Papers 201037, Institute of Spatial and Housing Economics, Munster Universitary.
  13. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
  14. Marco LiCalzi & Davide Marchiori, 2013. "Pack light on the move: Exploitation and exploration in a dynamic environment," Working Papers 4, Department of Management, Università Ca' Foscari Venezia.
  15. Olivier Brandouy & Angelo Corelli & Iryna Veryzhenko & Roger Waldeck, 2012. "A re-examination of the “zero is enough” hypothesis in the emergence of financial stylized facts," Journal of Economic Interaction and Coordination, Springer, vol. 7(2), pages 223-248, October.
  16. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are agent-based simulations robust? The wholesale electricity trading case," Economics Working Papers 1214, Department of Economics and Business, Universitat Pompeu Fabra.
  17. repec:inr:wpaper:10408 is not listed on IDEAS
  18. Fernando Lozano & Jaime Lozano & Mario García, 2007. "An artificial economy based on reinforcement learning and agent based modeling," DOCUMENTOS DE TRABAJO 003907, UNIVERSIDAD DEL ROSARIO.
  19. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2008. "Allocative efficiency and traders' protection under zero intelligence behavior," Working Papers 168, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Nov 2009.
  20. Ludo Waltman & Nees Eck, 2009. "Robust Evolutionary Algorithm Design for Socio-Economic Simulation: Some Comments," Computational Economics, Society for Computational Economics, vol. 33(1), pages 103-105, February.
  21. Michael Neugart & Matteo G. Richiardi, 2012. "Agent-based models of the labor market," LABORatorio R. Revelli Working Papers Series 125, LABORatorio R. Revelli, Centre for Employment Studies.
  22. Hommes, C.H. & Wagener, F.O.O., 2008. "Complex evolutionary systems in behavioral finance," CeNDEF Working Papers 08-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  23. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Müller-Scheeßel, Jörg, 2013. "Impact of alternative information requirements on the coexistence of genetically modified (GM) and non-GM oilseed rape in the EU," Ecological Economics, Elsevier, vol. 93(C), pages 104-115.
  24. Tibor Neugebauer, 2005. "Bidding Strategies Of Sequential First Price Auctions Programmed By Experienced Bidders," Experimental 0503007, EconWPA.
  25. Yoo, Seung Han, 2014. "Learning a population distribution," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 188-201.
  26. Steven Kimbrough & Frederic Murphy, 2009. "Learning to Collude Tacitly on Production Levels by Oligopolistic Agents," Computational Economics, Society for Computational Economics, vol. 33(1), pages 47-78, February.
  27. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
  28. Giuseppe Attanasi & Samuele Centorrino & Ivan Moscati, 2011. "Double Auction Equilibrium and Efficiency in a Classroom Experimental Search Market," LERNA Working Papers 11.03.337, LERNA, University of Toulouse.
  29. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Society for Computational Economics, vol. 28(4), pages 313-331, November.
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  31. Jakob Grazzini, 2013. "Information dissemination in an experimentally based agent-based stock market," Journal of Economic Interaction and Coordination, Springer, vol. 8(1), pages 179-209, April.
  32. Todd Feldman & Daniel Friedman, 2010. "Human and Artificial Agents in a Crash-Prone Financial Market," Computational Economics, Society for Computational Economics, vol. 36(3), pages 201-229, October.
  33. Nguyen, N.P. & Shortle, J.S. & Reed, P.M. & Nguyen, T.T., 2013. "Water quality trading with asymmetric information, uncertainty and transaction costs: A stochastic agent-based simulation," Resource and Energy Economics, Elsevier, vol. 35(1), pages 60-90.
  34. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
  35. Kluger, Brian D. & McBride, Mark E., 2011. "Intraday trading patterns in an intelligent autonomous agent-based stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 226-245, August.
  36. Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris West - Nanterre la Défense, EconomiX.
  37. Atakelty Hailu & Sophie Thoyer, 2010. "What Format for Multi-Unit Multiple-Bid Auctions?," Computational Economics, Society for Computational Economics, vol. 35(3), pages 189-209, March.
  38. Rashid, Salim & Yoon, Youngeun & Kashem, Shakil Bin, 2011. "Assessing the potential impact of Microfinance with agent-based modeling," Economic Modelling, Elsevier, vol. 28(4), pages 1907-1913, July.
  39. Mikhail Anufriev & Cars Hommes & Raoul Philipse, 2013. "Evolutionary selection of expectations in positive and negative feedback markets," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 663-688, July.
  40. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
  41. 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.
  42. Filatova, Tatiana & Parker, Dawn Cassandra & van der Veen, Anne, 2011. "The Implications of Skewed Risk Perception for a Dutch Coastal Land Market: Insights from an Agent-Based Computational Economics Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), December.
  43. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
  44. Chen, Shu-Heng & Chie, Bin-Tzong, 2008. "Lottery markets design, micro-structure, and macro-behavior: An ACE approach," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 463-480, August.
  45. Robert Somogyi & Janos Vincze, 2011. "Price Rigidity and Strategic Uncertainty An Agent-based Approach," IEHAS Discussion Papers 1135, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
  46. Jason Shachat & J. Todd Swarthouty & Lijia Wei, 2013. "Man Versus Nash: An Experiment on the Self-enforcing Nature of Mixed Strategy Equilibrium," Papers 2013-10-14, Working Paper.
  47. Concetta Sorropago, 2012. "Incentive Design and Manager Performances: an ABM Approach," Working papers 008, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
  48. Shu-Heng Chen & Yi-Lin Hsieh, 2011. "Reinforcement Learning in Experimental Asset Markets," Eastern Economic Journal, Palgrave Macmillan, vol. 37(1), pages 109-133.
  49. Wendel, Stephen & Oppenheimer, Joe, 2010. "An agent-based analysis of context-dependent preferences," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 269-284, June.
  50. Chen, Shu-Heng & Gostoli, Umberto, 2013. "Coordination in the El Farol Bar problem: The role of social preferences and social networks," Economics Discussion Papers 2013-20, Kiel Institute for the World Economy.
  51. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Society for Computational Economics, vol. 28(1), pages 51-69, August.
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