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Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality

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Cited by:

  1. Schunk, Daniel, 2003. "Modeling the Use of Nonrenewable Resources Using a Genetic Algorithm," Sonderforschungsbereich 504 Publications 03-23, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  2. Tay, Nicholas S. P. & Linn, Scott C., 2001. "Fuzzy inductive reasoning, expectation formation and the behavior of security prices," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 321-361, March.
  3. Maria Minniti & William Bygrave, 2001. "A Dynamic Model of Entrepreneurial Learning," Entrepreneurship Theory and Practice, , vol. 25(3), pages 5-16, April.
  4. Terracol, Antoine & Vaksmann, Jonathan, 2009. "Dumbing down rational players: Learning and teaching in an experimental game," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 54-71, May.
  5. Chih-Hsiang Chang & Shan-Shan Chen & Song-Lin Hsieh, 2017. "Asymmetric Reinforcement Learning and Conditioned Responses During the 2007–2009 Global Financial Crisis: Evidence from Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-44, June.
  6. Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
  7. Ho, Teck H. & Camerer, Colin F. & Chong, Juin-Kuan, 2007. "Self-tuning experience weighted attraction learning in games," Journal of Economic Theory, Elsevier, vol. 133(1), pages 177-198, March.
  8. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
  9. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
  10. Miguel Vazquez, 2018. "Institutional dynamics in an economy seen as a complex adaptive system," IEFE Working Papers 104, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
  11. Camerer, Colin F. & Ho, Teck-Hua, 2015. "Behavioral Game Theory Experiments and Modeling," Handbook of Game Theory with Economic Applications,, Elsevier.
  12. Chen Gao & Xiaochong Lan & Nian Li & Yuan Yuan & Jingtao Ding & Zhilun Zhou & Fengli Xu & Yong Li, 2024. "Large language models empowered agent-based modeling and simulation: a survey and perspectives," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-24, December.
  13. Richard Whittle & Thomas Davies & Matthew Gobey & John Simister, 2014. "Behavioural Economics and House Prices: A Literature Review," Business and Management Horizons, Macrothink Institute, vol. 2(2), pages 15-28, December.
  14. Basci, Erdem, 1999. "Learning by imitation," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1569-1585, September.
  15. Selten, R. & Chmura, T. & Pitz, T. & Kube, S. & Schreckenberg, M., 2007. "Commuters route choice behaviour," Games and Economic Behavior, Elsevier, vol. 58(2), pages 394-406, February.
  16. Alexander Gorobets & Bart Nooteboom, 2006. "Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(3), pages 277-306, September.
  17. Shun Cao, 2023. "Effects of Search Strategies on Collective Problem-Solving," Mathematics, MDPI, vol. 11(22), pages 1-16, November.
  18. Andreas Ortmann & Sergey Slobodyan & Samuel S. Nordberg, 2003. "(The Evolution of) Post-Secondary Education: A Computational Model and Experiments," CERGE-EI Working Papers wp208, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  19. Marimon, R. & McGraltan, E., 1993. "On Adaptative Learning in Strategic Games," Papers 190, Cambridge - Risk, Information & Quantity Signals.
  20. 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.
  21. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1795-1825, October.
  22. Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris Nanterre, EconomiX.
  23. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
  24. Tay, Nicholas S.P. & Lusch, Robert F., 2005. "A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments," Journal of Business Research, Elsevier, vol. 58(9), pages 1155-1168, September.
  25. Thorsten Chmura & Thomas Pitz, 2007. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Experimental Congestion Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-1.
  26. Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
  27. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
  28. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
  29. Rustichini, Aldo, 1999. "Optimal Properties of Stimulus--Response Learning Models," Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 244-273, October.
  30. Torsten Heinrich & Yoojin Jang & Luca Mungo & Marco Pangallo & Alex Scott & Bassel Tarbush & Samuel Wiese, 2021. "Best-response dynamics, playing sequences, and convergence to equilibrium in random games," Papers 2101.04222, arXiv.org, revised Nov 2022.
  31. Arthur Charpentier & Romuald Elie & Carl Remlinger, 2020. "Reinforcement Learning in Economics and Finance," Papers 2003.10014, arXiv.org.
  32. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
  33. Beltrametti, Luca & Fiorentini, Riccardo & Marengo, Luigi & Tamborini, Roberto, 1997. "A learning-to-forecast experiment on the foreign exchange market with a classifier system," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1543-1575, June.
  34. Feltovich, Nick, 1999. "Equilibrium and reinforcement learning in private-information games: An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1605-1632, September.
  35. 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.
  36. Wu, Qiyan & Zhang, Xiaoling & Shang, Zhengyong & Li, Zaijun, 2015. "Political-economy based institutional industry complex and sustainable development: The case of the salt-chemical industry in Huai’an, China," Energy Policy, Elsevier, vol. 87(C), pages 39-47.
  37. Monira Essa Aloud, 2016. "Time Series Analysis Indicators under Directional Changes: The Case of Saudi Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 55-64.
  38. Selten, Reinhard & Schreckenberg, Michael & Pitz, Thomas & Chmura, Thorsten & Kube, Sebastian, 2002. "Experiments and Simulations on Day-to-Day Route Choice-Behaviour," Bonn Econ Discussion Papers 35/2002, University of Bonn, Bonn Graduate School of Economics (BGSE).
  39. Chiang, Yao-Min & Hirshleifer, David & Qian, Yiming & Sherman, Ann, 2009. "Learning to Fail? Evidence from Frequent IPO Investors," MPRA Paper 16854, University Library of Munich, Germany, revised Aug 2009.
  40. Tarun K. Sen & Andrew M. Gibbs, 1994. "An Evaluation of the Corporate Takeover Model Using Neural Networks," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(4), pages 279-292, December.
  41. Aaron Foote & Maryam Gooyabadi & Nikhil Addleman, 2023. "Factors in Learning Dynamics Influencing Relative Strengths of Strategies in Poker Simulation," Games, MDPI, vol. 14(6), pages 1-16, November.
  42. Robert E. Marks, 2014. "Learning to be Risk Averse?," Discussion Papers 2014-10, School of Economics, The University of New South Wales.
  43. Shu-Heng Chen & Yi-Lin Hsieh, 2011. "Reinforcement Learning in Experimental Asset Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 109-133.
  44. Innocenti, Stefania & Cowan, Robin, 2019. "Self-efficacy beliefs and imitation: A two-armed bandit experiment," European Economic Review, Elsevier, vol. 113(C), pages 156-172.
  45. Paola Tubaro, 2011. "Computational Economics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 10, Edward Elgar Publishing.
  46. Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023. "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 425-462, June.
  47. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Limited intelligence and performance-based compensation: An agent-based model of the hidden action problem," Papers 2107.03764, arXiv.org.
  48. Roberto Tamborini, 1997. "A macroeconomic model of bankruptcy," CEEL Working Papers 9702, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
  49. Teck H Ho & Colin Camerer & Juin-Kuan Chong, 2003. "Functional EWA: A one-parameter theory of learning in games," Levine's Working Paper Archive 506439000000000514, David K. Levine.
  50. Rotheli, Tobias F., 2001. "Acquisition of costly information: an experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 46(2), pages 193-208, October.
  51. Eric Friedman & Scott Shenker, 1998. "Learning and Implementation on the Internet," Departmental Working Papers 199821, Rutgers University, Department of Economics.
  52. Chmura, Thorsten & Pitz, Thomas, 2004. "An Extended Reinforcement Algorithm for Estimation of Human Behaviour in Congestion Games," Bonn Econ Discussion Papers 24/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
  53. Valentin Zelenyuk, 2024. "Aggregation in efficiency and productivity analysis: a brief review with new insights and justifications for constant returns to scale," Journal of Productivity Analysis, Springer, vol. 62(3), pages 321-334, December.
  54. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
  55. Osili, Una Okonkwo & Paulson, Anna, 2014. "Crises and confidence: Systemic banking crises and depositor behavior," Journal of Financial Economics, Elsevier, vol. 111(3), pages 646-660.
  56. Marco Catola & Silvia Leoni, 2025. "Pollution Abatement and Lobbying in a Cournot Game: An Agent-Based Modelling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 65(2), pages 637-664, February.
  57. Nooteboom, B., 2006. "Human Nature in the Adaptation of Trust," Other publications TiSEM 6a7897e0-90c6-4c0f-88ed-2, Tilburg University, School of Economics and Management.
  58. Deng, Yongheng & Gu, Quanlin & He, Jia, 2021. "Reinforcement learning and mortgage partial prepayment behavior," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  59. Rustichini, A., 1998. "Sophisticated Players and Sophisticated Agents," Discussion Paper 1998-110, Tilburg University, Center for Economic Research.
  60. Sheri M. Markose, 2005. "Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)," Economic Journal, Royal Economic Society, vol. 115(504), pages 159-192, 06.
  61. 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.
  62. Michael D. McGinnis, 1992. "Deterrence Theory Discussion: I," Journal of Theoretical Politics, , vol. 4(4), pages 443-457, October.
  63. Hidayet Beyhan & Burç Ülengin, 2021. "Modelling an Artificial Financial Market: Agent Based Approach," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., vol. 36(Special2), pages 71-96, January.
  64. Stephan Zheng & Alexander Trott & Sunil Srinivasa & Nikhil Naik & Melvin Gruesbeck & David C. Parkes & Richard Socher, 2020. "The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies," Papers 2004.13332, arXiv.org.
  65. Murat YILDIZOGLU, 2009. "Evolutionary approaches of economic dynamics (In French)," Cahiers du GREThA (2007-2019) 2009-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
  66. Rustichini, A., 1998. "Sophisticated Players and Sophisticated Agents," Other publications TiSEM de5b9fc1-8021-4255-8a80-5, Tilburg University, School of Economics and Management.
  67. 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.
  68. Jaebeum Cho & Alberto Isgut & Yusuke Tateno, 2016. "An analytical framework for identifying optimal pathways towards sustainable development," MPDD Working Paper Series WP/16/03, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP).
  69. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
  70. Gorobets, A. & Nooteboom, B., 2004. "Agent based computational model of trust," ERIM Report Series Research in Management ERS-2004-108-ORG, 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.
  71. Patrick Reinwald & Stephan Leitner & Friederike Wall, 2021. "Effects of limited and heterogeneous memory in hidden-action situations," Papers 2105.12469, arXiv.org.
  72. Carlos Sáenz-Royo, 2017. "A plausible Decision Heuristics Model: Fallibility of human judgment as an endogenous problem," Working Papers 2017/04, Economics Department, Universitat Jaume I, Castellón (Spain).
  73. Apesteguia, Jose, 2001. "A Characterization of Melioration in Game Theoretic Frameworks," Bonn Econ Discussion Papers 26/2001, University of Bonn, Bonn Graduate School of Economics (BGSE).
  74. McFadden, Daniel L & Train, Kenneth E, 1996. "Consumers' Evaluation of New Products: Learning from Self and Others," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 683-703, August.
  75. Stephan Billinger & Nils Stieglitz & Terry R. Schumacher, 2014. "Search on Rugged Landscapes: An Experimental Study," Organization Science, INFORMS, vol. 25(1), pages 93-108, February.
  76. William S. Schulze & Michael H. Lubatkin & Richard N. Dino & Ann K. Buchholtz, 2001. "Agency Relationships in Family Firms: Theory and Evidence," Organization Science, INFORMS, vol. 12(2), pages 99-116, April.
  77. Chmura, Thorsten & Pitz, Thomas, 2004. "Minority Game: Experiments and Simulations of Traffic Scenarios," Bonn Econ Discussion Papers 23/2004, University of Bonn, Bonn Graduate School of Economics (BGSE).
  78. Steinbacher, Matjaz, 2008. "Stochastic Processes in Finance and Behavioral Finance," MPRA Paper 13603, University Library of Munich, Germany.
  79. Easley, David & Rustichini, Aldo, 2005. "Optimal guessing: Choice in complex environments," Journal of Economic Theory, Elsevier, vol. 124(1), pages 1-21, September.
  80. E. Friedman & S. Shenker, 2010. "Synchronous and Asynchronous Learning by Responsive Learning Automata," Levine's Working Paper Archive 469, David K. Levine.
  81. Clemens, Christiane & Riechmann, Thomas, 1996. "Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung," Hannover Economic Papers (HEP) dp-195, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  82. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
  83. Mikhail Anufriev & Cars Hommes, 2012. "Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 35-64, November.
  84. Barnaud, Cécile & Bousquet, François & Trebuil, Guy, 2008. "Multi-agent simulations to explore rules for rural credit in a highland farming community of Northern Thailand," Ecological Economics, Elsevier, vol. 66(4), pages 615-627, July.
  85. Yoshitaka Okano, 2017. "Team vs. Individual, Hypothesis Testing vs. Model Selection, and the Minimax Model," Working Papers SDES-2017-18, Kochi University of Technology, School of Economics and Management, revised Oct 2017.
  86. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, June.
  87. Paschmann, Martin & Paulus, Simon, 2017. "The Impact of Advanced Metering Infrastructure on Residential Electricity Consumption - Evidence from California," EWI Working Papers 2017-8, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  88. repec:dgr:rugsom:99b41 is not listed on IDEAS
  89. Marco Catola & Silvia Leoni, 2023. "Pollution Abatement and Lobbying in a Cournot Game. An Agent-Based Modelling approach," Discussion Papers 2023/294, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
  90. Alex Viskovatoff, 2001. "Rationality as optimal choice versus rationality as valid inference," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(2), pages 313-337.
  91. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
  92. Hilder André Bezerra Farias & Sérgio Luiz de Medeiros Rivero & Márcia Jucá Teixeira Diniz, 2017. "Negative incentives and sustainability in the amazonian logging industry [Negative incentives and sustainability in the amazonian logging industry]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 27(3), pages 363-391, September.
  93. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
  94. Markose, Sheri M, 2004. "Novelty And Surprises In Complex Adaptive System (CAS) Dynamics: A Computational Theory of Actor Innovation," Economics Discussion Papers 3731, University of Essex, Department of Economics.
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