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On Designing Economic Agents That Behave Like Human Agents
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Cited by:
- Maria Minniti & William Bygrave, 2001. "A Dynamic Model of Entrepreneurial Learning," Entrepreneurship Theory and Practice, , vol. 25(3), pages 5-16, April.
- Sieg, Gernot, 2001. "A political business cycle with boundedly rational agents," European Journal of Political Economy, Elsevier, vol. 17(1), pages 39-52, March.
- Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
- 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.
- Tesfatsion, Leigh, 1998.
"Teaching Agent-Based Computational Economics to Graduate Students,"
ISU General Staff Papers
199807010700001043, Iowa State University, Department of Economics.
- Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics To Graduate Students," Economic Reports 18193, Iowa State University, Department of Economics.
- Tesfatsion, Leigh S., 1998. "Teaching Agent-Based Computational Economics to Graduate Students," Staff General Research Papers Archive 1199, Iowa State University, Department of Economics.
- Leigh Tesfatsion, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," Computational Economics 9809001, University Library of Munich, Germany, revised 16 Nov 1998.
- 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.
- Gorobets, A. & Nooteboom, B., 2005. "Adaptive build-up and breakdown of trust : An agent based computational approach," Discussion Paper 2005-39, Tilburg University, Center for Economic Research.
- Gorobets, A. & Nooteboom, B., 2005. "Adaptive build-up and breakdown of trust : An agent based computational approach," Other publications TiSEM 4695ee7d-1c2b-4254-a391-d, Tilburg University, School of Economics and Management.
- Güth Werner & Kliemt Hartmut & Peleg Bezalel, 2000.
"Co-evolution of Preferences and Information in Simple Games of Trust,"
German Economic Review, De Gruyter, vol. 1(1), pages 83-110, February.
- Werner Güth & Hartmut Kliemt & Bezalel Peleg, 2000. "Co‐evolution of Preferences and Information in Simple Games of Trust," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 83-110, February.
- Güth, Werner & Kliemt, Hartmut & Peleg, Bezalel, 1998. "Co-evolution of preferences and information in simple games of trust," SFB 373 Discussion Papers 1998,72, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Dr Jason Potts, 2000. "Evolutionary Microeconomics and the Theory of Expectations," Discussion Papers Series 270, School of Economics, University of Queensland, Australia.
- 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.
- Hopkins, Ed, 2007.
"Adaptive learning models of consumer behavior,"
Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 348-368.
- Ed Hopkins, 2004. "Adaptive Learning Models of Consumer Behaviour," Edinburgh School of Economics Discussion Paper Series 121, Edinburgh School of Economics, University of Edinburgh.
- Ed Hopkins, 2006. "Adaptive Learning Models of Consumer Behaviour," Levine's Bibliography 122247000000000658, UCLA Department of Economics.
- Ed Hopkins, 2010. "Adaptive Learning Models of Consumer Behaviour," Levine's Working Paper Archive 506439000000000346, David K. Levine.
- Ianni, Antonella, 2014.
"Learning strict Nash equilibria through reinforcement,"
Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 148-155.
- Ianni, Antonella, 2011. "Learning Strict Nash Equilibria through Reinforcement," MPRA Paper 33936, University Library of Munich, Germany.
- 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.
- 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.
- Paola Tubaro, 2011. "Computational economics," Post-Print hal-01372973, HAL.
- Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016.
"Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation,"
Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
- Agliari, A. & Hommes, C.H. & Pecora, N., 2015. "Path Dependent Coordination of Expectations in Asset Pricing Experiments: a Behavioral Explanation," CeNDEF Working Papers 15-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Possajennikov, A., 1997.
"An Analysis of a Simple Reinforcement Dynamics : Learning to Play an "Egalitarian" Equilibrium,"
Discussion Paper
1997-19, Tilburg University, Center for Economic Research.
- Possajennikov, A., 1997. "An Analysis of a Simple Reinforcement Dynamics : Learning to Play an "Egalitarian" Equilibrium," Other publications TiSEM d415ae0d-b06b-4a63-9dcc-e, Tilburg University, School of Economics and Management.
- Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016.
"Going beyond perfect rationality: drought risk, economic choices and the influence of social networks,"
The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.
- Ed Hopkins, 2002. "Two Competing Models of How People Learn in Games," Econometrica, Econometric Society, vol. 70(6), pages 2141-2166, November.
- Ed Hopkins, 2000. "Two Competing Models of How People Learn in Games," Edinburgh School of Economics Discussion Paper Series 51, Edinburgh School of Economics, University of Edinburgh.
- Ed Hopkins, 2001. "Two Competing Models of How People Learn in Games," NajEcon Working Paper Reviews 625018000000000226, www.najecon.org.
- Ed Hopkins, 2001. "Two Competing Models of How People Learn in Games," Levine's Working Paper Archive 625018000000000226, David K. Levine.
- Rustichini, A., 1998. "Sophisticated Players and Sophisticated Agents," Discussion Paper 1998-110, Tilburg University, Center for Economic Research.
- 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.
- John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, University Library of Munich, Germany.
- Harald Uhlig & Martin Lettau, 1999. "Rules of Thumb versus Dynamic Programming," American Economic Review, American Economic Association, vol. 89(1), pages 148-174, March.
- Karandikar, Rajeeva & Mookherjee, Dilip & Ray, Debraj & Vega-Redondo, Fernando, 1998. "Evolving Aspirations and Cooperation," Journal of Economic Theory, Elsevier, vol. 80(2), pages 292-331, June.
- Debraj Ray & Dilip Mookherjee & Fernando Vega Redondo & Rajeeva L. Karandikar, 1996. "Evolving aspirations and cooperation," Working Papers. Serie AD 1996-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Rustichini, A., 1998. "Sophisticated Players and Sophisticated Agents," Other publications TiSEM de5b9fc1-8021-4255-8a80-5, Tilburg University, School of Economics and Management.
- 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.
- 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.
- Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," EconomiX Working Papers 2009-42, University of Paris Nanterre, EconomiX.
- Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
- 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.
- Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
- Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," Economic Reports 18196, Iowa State University, Department of Economics.
- Tesfatsion, Leigh, 1997. "How Economists Can Get Alife," Staff General Research Papers Archive 1685, Iowa State University, Department of Economics.
- Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," ISU General Staff Papers 199509010700001035, Iowa State University, Department of Economics.
- Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
- Sasaki, Yuya, 2004. "The Equivalence Of Evolutionary Games And Distributed Monte Carlo Learning," Economics Research Institute, ERI Series 28338, Utah State University, Economics Department.
- 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.
- Erik Mohlin & Robert Ostling & Joseph Tao-yi Wang, 2014. "Learning by Imitation in Games: Theory, Field, and Laboratory," Economics Series Working Papers 734, University of Oxford, Department of Economics.
- Patalano Roberta, 2003. "Beyond rationality: images as guide-lines to choice," CESMEP Working Papers 200305, University of Turin.
- Lettau, M. & Uhlig, H.F.H.V.S., 1995. "Rule of Thumb and Dynamic Programming," Other publications TiSEM 30ad8072-6a3b-4e5b-8227-9, Tilburg University, School of Economics and Management.
- Lettau, M. & Uhlig, H.F.H.V.S., 1995. "Rule of Thumb and Dynamic Programming," Discussion Paper 1995-27, Tilburg University, Center for Economic Research.
- Max Keilbach, 1999. "Network Externalities and the Path Dependence of Markets: Will Bill Gates Make It?," Computing in Economics and Finance 1999 711, Society for Computational Economics.
- Jerker Denrell & Christina Fang & Chengwei Liu, 2015. "Perspective—Chance Explanations in the Management Sciences," Organization Science, INFORMS, vol. 26(3), pages 923-940, June.
- Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
- M. Keilbach & M. Posch, 1998. "Network Externalities and the Dynamics of Markets," Working Papers ir98089, International Institute for Applied Systems Analysis.
- 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.
- Schunk, Daniel, 2003. "Modeling the use of nonrenewable resources using a genetic algorithm," Papers 03-23, Sonderforschungsbreich 504.
- Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 355-370, November.
- Mohlin, Erik & Östling, Robert & Wang, Joseph Tao-yi, 2020. "Learning by similarity-weighted imitation in winner-takes-all games," Games and Economic Behavior, Elsevier, vol. 120(C), pages 225-245.
- Paola Tubaro, 2009. "Agent-based Computational Economics: a Methodological Appraisal," Working Papers hal-04140846, HAL.
- 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.
- Schuster, Stephan, 2010. "Network Formation with Adaptive Agents," MPRA Paper 27388, University Library of Munich, Germany.
- Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
- Klos, Tomas B., 1999. "Governance and matching," Research Report 99B41, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Beggs, A.W., 2005. "On the convergence of reinforcement learning," Journal of Economic Theory, Elsevier, vol. 122(1), pages 1-36, May.
- Alan Beggs, 2002. "On the Convergence of Reinforcement Learning," Economics Series Working Papers 96, University of Oxford, Department of Economics.
- Hopkins, Ed & Posch, Martin, 2005. "Attainability of boundary points under reinforcement learning," Games and Economic Behavior, Elsevier, vol. 53(1), pages 110-125, October.
- Ed Hopkins & Martin Posch, 2003. "Attainability of Boundary Points under Reinforcement Learning," Edinburgh School of Economics Discussion Paper Series 79, Edinburgh School of Economics, University of Edinburgh.
- Ed Hopkins & Martin Posch, 2003. "Attainability of Boundary Points under Reinforcement Learning," Levine's Working Paper Archive 506439000000000350, David K. Levine.
- 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.
- Cominetti, Roberto & Melo, Emerson & Sorin, Sylvain, 2010. "A payoff-based learning procedure and its application to traffic games," Games and Economic Behavior, Elsevier, vol. 70(1), pages 71-83, September.
- 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.
- Stefania Innocenti & Robin Cowan, 2019. "Self-efficacy beliefs and imitation : A two-armed bandit experiment," Post-Print hal-03213711, HAL.
- Bendor, J. & Mookherjee, D. & Ray, D., 1994. "Aspirations, Adaptive Learning and Cooperation in Reapeted Games," Papers 27, Boston University - Department of Economics.
- Bendor, J. & Mookherjee, D. & Ray, D., 1994. "Aspirations, adaptive learning and cooperation in repeated games," Discussion Paper 1994-42, Tilburg University, Center for Economic Research.
- Bernergård, Axel & Mohlin, Erik, 2019. "Evolutionary selection against iteratively weakly dominated strategies," Games and Economic Behavior, Elsevier, vol. 117(C), pages 82-97.
- Bernergård, Axel & Mohlin, Erik, 2017. "Evolutionary Selection against Iteratively Weakly Dominated Strategies," Working Papers 2017:18, Lund University, Department of Economics, revised 12 Nov 2018.
- Franke, Reiner, 2003. "Reinforcement learning in the El Farol model," Journal of Economic Behavior & Organization, Elsevier, vol. 51(3), pages 367-388, July.
- Peyton Young, H., 1998. "Individual learning and social rationality1," European Economic Review, Elsevier, vol. 42(3-5), pages 651-663, May.
- Nelson P. Repenning, 2002. "A Simulation-Based Approach to Understanding the Dynamics of Innovation Implementation," Organization Science, INFORMS, vol. 13(2), pages 109-127, April.
- Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 0203, Economics Division, School of Social Sciences, University of Southampton.
- Tony Curson Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Levine's Working Paper Archive 588, David K. Levine.
- 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.
- Sobel, Joel, 2000. "Economists' Models of Learning," Journal of Economic Theory, Elsevier, vol. 94(2), pages 241-261, October.
- Easley, David & Rustichini, Aldo, 2005. "Optimal guessing: Choice in complex environments," Journal of Economic Theory, Elsevier, vol. 124(1), pages 1-21, September.
- Georgios Chasparis & Jeff Shamma & Anders Rantzer, 2015. "Nonconvergence to saddle boundary points under perturbed reinforcement learning," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 667-699, August.
- Mainwaring, Lynn, 1997. "Maximisation and melioration as alternative forms of firm behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 32(3), pages 395-411, March.
- Christoph Zott, 2002. "When Adaptation Fails," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(6), pages 727-753, December.
- repec:dgr:rugsom:99b41 is not listed on IDEAS
- Georgios Chasparis & Jeff Shamma, 2012. "Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation," Dynamic Games and Applications, Springer, vol. 2(1), pages 18-50, March.
- A. Bassanini, 1997. "Localized Technological Change and Path-Dependent Growth," Working Papers ir97086, International Institute for Applied Systems Analysis.
- Ed Hopkins, 2002. "Two Competing Models of How People Learn in Games," Econometrica, Econometric Society, vol. 70(6), pages 2141-2166, November.