Advanced Search
MyIDEAS: Login

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

by John Duffy

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window
  1. 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.
  2. 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.
  3. 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.
  4. Cars H. Hommes, 2005. "Heterogeneous Agent Models in Economics and Finance," Tinbergen Institute Discussion Papers 05-056/1, Tinbergen Institute.
  5. repec:tur:wpapnw:8 is not listed on IDEAS
  6. repec:fee:wpaper:1103 is not listed on IDEAS
  7. 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.
  8. Cars Hommes & Thomas Lux, 2008. "Individual Expectations and Aggregate Behavior in Learning to Forecast Experiments," Kiel Working Papers 1466, Kiel Institute for the World Economy.
  9. 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 Uni.
  10. 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.
  11. 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.
  12. Pickhardt, Michael, 2010. "A few can do: Ethical behavior and the provision of public goods in an agent-based model," CAWM Discussion Papers 37, Center of Applied Economic Research Münster (CAWM), University of Münster.
  13. 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.
  14. Sven Banisch & Tanya Araújo & Jorge Louçã, 2010. "Opinion Dynamics And Communication Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 95-111.
  15. 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.
  16. 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.
  17. Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  18. Albert Banal-Estañol & Augusto Rupérez-Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona Graduate School of Economics.
  19. Ross M. Miller, 2003. "Don't Let Your Robots Grow Up To Be Traders: Artificial Intelligence, Human Intelligence, and Asset-Market Bubbles," Experimental 0306001, EconWPA.
  20. 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.
  21. Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris West - Nanterre la Défense, EconomiX.
  22. 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.
  23. 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.
  24. Atakelty Hailu & Sophie Thoyer, 2007. "Designing multi-unit multiple bid auctions: an agent-based computational model of uniform, discriminatory and generalised Vickrey Auctions," Working Papers 10408, Institut National de la Recherche Agronomique, France.
  25. 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.
  26. 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.
  27. Tibor Neugebauer, 2005. "Bidding Strategies Of Sequential First Price Auctions Programmed By Experienced Bidders," Experimental 0503007, EconWPA.
  28. 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.
  29. 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.
  30. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
  31. 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.
  32. Hommes, C.H., 2010. "The Heterogeneous Expectations Hypothesis: Some Evidence from the Lab," CeNDEF Working Papers 10-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  33. Lengnick, Matthias, 2011. "Agent-based macroeconomics - a baseline model," Economics Working Papers 2011,04, Christian-Albrechts-University of Kiel, Department of Economics.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. repec:fee:wpaper:1101 is not listed on IDEAS
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. Shu-Heng Chen & Yi-Lin Hsieh, 2011. "Reinforcement Learning in Experimental Asset Markets," Eastern Economic Journal, Palgrave Macmillan, vol. 37(1), pages 109-133.
  50. 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.