IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

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. 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.
  2. 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.
  3. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Zhijian Wang & Bin Xu, 2014. "Cycling in stochastic general equilibrium," Papers 1410.8432, arXiv.org.
  10. 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.
  11. Jason Shachat & J. Todd Swarthout, 2002. "Learning about Learning in Games through Experimental Control of Strategic Interdependence," Experimental Economics Center Working Paper Series 2006-17, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Aug 2008.
  12. 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.
  13. repec:tur:wpapnw:8 is not listed on IDEAS
  14. Seung Han Yoo, 2014. "Learning a Population Distribution," Discussion Paper Series 1401, Institute of Economic Research, Korea University.
  15. 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.
  16. 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.
  17. Tibor Neugebauer, 2005. "Bidding Strategies Of Sequential First Price Auctions Programmed By Experienced Bidders," Experimental 0503007, EconWPA.
  18. Andreas Klein, 2011. "Die Entwicklung eines agentenbasierten Basismodells zur Bestimmung der deckungsbeitragsmaximierenden Anzahl von Außendienstmitarbeitern," Metrika- International Journal for Theoretical and Applied Statistics, Springer, vol. 21(2), pages 189-210, January.
  19. 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.
  20. 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.
  21. 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.
  22. Jason Shachat & J. Todd Swarthouty & Lijia Wei, 2013. "Man Versus Nash: An Experiment on the Self-enforcing Nature of Mixed Strategy Equilibrium," WISE Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  23. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
  30. Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris West - Nanterre la Défense, EconomiX.
  31. Jakob Grazzini, 2013. "Information dissemination in an experimentally based agent-based stock market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 179-209, April.
  32. 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.
  33. Baghestanian, Sascha & Walker, Todd B., 2015. "Anchoring in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 15-25.
  34. Baghestanian, Sascha & Walker, Todd B., 2014. "Thar she blows again: Reducing anchoring rekindles bubbles," SAFE Working Paper Series 54, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
  35. 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.
  36. 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.
  37. 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.
  38. Myong-Hun Chang & Joseph E Harrington Jr, 2004. "Agent-Based Models of Organizations," Economics Working Paper Archive 515, The Johns Hopkins University,Department of Economics.
  39. 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 (IfW).
  40. 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.
  41. Shu-Heng Chen & Yi-Lin Hsieh, 2011. "Reinforcement Learning in Experimental Asset Markets," Eastern Economic Journal, Palgrave Macmillan, vol. 37(1), pages 109-133.
  42. 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;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 223-248, October.
  43. 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.
  44. Concetta Sorropago, 2014. "Behavioral Finance and Agent Based Model: the new evolving discipline of quantitative behavioral finance ?," DIAG Technical Reports 2014-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  45. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
  46. 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.
  47. 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.
  48. Annalisa Fabretti & Tommy Gärling & Stefano Herzel & Martin Holmen, 2015. "Convex Incentives in Financial Markets: an Agent-Based Analysis," CEIS Research Paper 337, Tor Vergata University, CEIS, revised 08 Apr 2015.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. Waichman, Israel & Korzhenevych, Artem & Requate, Till, 2010. "Equal split in the informal market for group train travel," Kiel Working Papers 1638, Kiel Institute for the World Economy (IfW).
  54. 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.
  55. 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.
  56. Shu-Heng Chan & Shu G. Wang, 2010. "Emergent Complexity in Agent-Based Computational Economics," ASSRU Discussion Papers 1017, ASSRU - Algorithmic Social Science Research Unit.
  57. Heymann, D. & Kawamura, E. & Perazzo, R. & Zimmermann, M.G., 2014. "Behavioral heuristics and market patterns in a Bertrand–Edgeworth game," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 124-139.
  58. 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.
  59. Block, C. & 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.
  60. 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.
  61. 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.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.