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Artificial Adaptive Agents in Economic Theory

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Cited by:

  1. Pierre Barbaroux & Cécile Godé, 2007. "Acquiring core capabilities through organizational learning: Illustrations from the U.S. military organizations," Post-Print hal-00293534, HAL.
  2. 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.
  3. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
  4. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, December.
  5. Philip Anderson, 1999. "Perspective: Complexity Theory and Organization Science," Organization Science, INFORMS, vol. 10(3), pages 216-232, June.
  6. Miller, John H. & Butts, Carter T. & Rode, David, 2002. "Communication and cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 47(2), pages 179-195, February.
  7. Li, Qiang & Chen, Dingjiang & Zhu, Bing & Hu, Shanying, 2012. "Industrial straw utilization in China: Simulation and analysis of the dynamics of technology application and competition," Technology in Society, Elsevier, vol. 34(3), pages 207-215.
  8. Yıldızoğlu, Murat & Sénégas, Marc-Alexandre & Salle, Isabelle & Zumpe, Martin, 2014. "Learning The Optimal Buffer-Stock Consumption Rule Of Carroll," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 727-752, June.
  9. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
  10. Desmarchelier, Benoît & Regis, Paulo José & Salike, Nimesh, 2018. "Product space and the development of nations: A model of product diversification," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 34-51.
  11. Artem Kuriksha, 2021. "An Economy of Neural Networks: Learning from Heterogeneous Experiences," Papers 2110.11582, arXiv.org.
  12. Diana MARICA, 2015. "SIMULATING AN EVOLUTIONARY MULTI-AGENT BASED MODEL OF THE STOCK MARKET Abstract : The paper focuses on artificial stock market simulations using a multi-agent model incorporating 2,000 heterogeneous a," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 4(Special I), pages 1-42, august.
  13. John H. Miller, 1998. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Management Science, INFORMS, vol. 44(6), pages 820-830, June.
  14. Scott E. Page, 1992. "Political Parties and Electoral Landscapes," Discussion Papers 997, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  15. Sieg, Gernot, 2001. "A political business cycle with boundedly rational agents," European Journal of Political Economy, Elsevier, vol. 17(1), pages 39-52, March.
  16. David Pearce, 1994. "Complexity Theory and Economics," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 1(1), pages 101-106.
  17. Miller, John H., 1996. "The coevolution of automata in the repeated Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 87-112, January.
  18. Klos, Tomas B. & Nooteboom, Bart, 1997. "Adaptive governance: the role of loyalty," Research Report 97B53, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  19. Cattaneo, Andrea & Robinson, Sherman, 2000. "Empirical models, rules, and optimization," TMD discussion papers 53, International Food Policy Research Institute (IFPRI).
  20. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
  21. Magda Fontana, 2006. "Computer simulations, mathematics and economics," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 53(1), pages 96-123, March.
  22. Ferraris Gianluigi & Fontana Magda, 2006. "Managing Knowledge in Agent-based Models: Theoretical and Methodological Issues," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200603, University of Turin.
  23. Richard N. Langlois & Nicolai J. Foss, 1999. "Capabilities and Governance: The Rebirth of Production in the Theory of Economic Organization," Kyklos, Wiley Blackwell, vol. 52(2), pages 201-218, May.
  24. Tesfatsion, Leigh, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," ISU General Staff Papers 199807010700001043, Iowa State University, Department of Economics.
  25. D. J. Wu, 2000. "Agent‐based stochastic production lines design," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(4), pages 257-270, December.
  26. Duffy, John & Ünver, M.Utku, 2008. "Internet auctions with artificial adaptive agents: A study on market design," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 394-417, August.
  27. Kathleen M. Carley, 1996. "Artificial Intelligence within Sociology," Sociological Methods & Research, , vol. 25(1), pages 3-30, August.
  28. William Tracy, 2014. "Paradox Lost: The Evolution of Strategies in Selten’s Chain Store Game," Computational Economics, Springer;Society for Computational Economics, vol. 43(1), pages 83-103, January.
  29. 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.
  30. Theo S Eicher & Klaas vant Veld, 2000. "Search in Research: An Evolutionary Approach to Technical Change and Growth"," Discussion Papers in Economics at the University of Washington 0005, Department of Economics at the University of Washington.
  31. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Springer;Society for Computational Economics, vol. 24(3), pages 257-275, March.
  32. Sylvie Geisendorf, 2018. "Evolutionary Climate-Change Modelling: A Multi-Agent Climate-Economic Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 921-951, October.
  33. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2019. "Users' Involvement in Value Co‐Creation: The More the Better?," Post-Print hal-02354136, HAL.
  34. Janssen, Marco & de Vries, Bert, 1998. "The battle of perspectives: a multi-agent model with adaptive responses to climate change," Ecological Economics, Elsevier, vol. 26(1), pages 43-65, July.
  35. Kollman, Ken & Miller, John H. & Page, Scott E., 1997. "Landscape formation in a spatial voting model," Economics Letters, Elsevier, vol. 55(1), pages 121-130, August.
  36. Hohn Miller & Martin Shubik, 1994. "Some dynamics of a strategic market game with a large number of agents," Journal of Economics, Springer, vol. 60(1), pages 1-28, February.
  37. Roy L. Hayes & Peter A. Beling & William T. Scherer, 2013. "Action-based feature representation for reverse engineering trading strategies," Environment Systems and Decisions, Springer, vol. 33(3), pages 413-426, September.
  38. Scott E. Page, 1991. "Simulations and Spatial Voting Methods," Discussion Papers 952, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  39. Desmarchelier, Benoît & Djellal, Faridah & Gallouj, Faïz, 2013. "Knowledge intensive business services and long term growth," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 188-205.
  40. Rixen, Martin & Weigand, Jürgen, 2014. "Agent-based simulation of policy induced diffusion of smart meters," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 153-167.
  41. Alexander Smajgl, 2007. "Modelling evolving rules for the use of common-pool resources in an agent-based model," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 56-80.
  42. Margo Bergman, 2003. "When a Fad Ends: An Agent-Based Model of Imitative Behavior," Computing in Economics and Finance 2003 271, Society for Computational Economics.
  43. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
  44. G. Silverberg & B. Verspagen, 1995. "Evolutionary Theorizing on Economic Growth," Working Papers wp95078, International Institute for Applied Systems Analysis.
  45. Norton, Bryan & Costanza, Robert & Bishop, Richard C., 1998. "The evolution of preferences: Why 'sovereign' preferences may not lead to sustainable policies and what to do about it," Ecological Economics, Elsevier, vol. 24(2-3), pages 193-211, February.
  46. William Rand & Christian Stummer, 2021. "Agent‐based modeling of new product market diffusion: an overview of strengths and criticisms," Annals of Operations Research, Springer, vol. 305(1), pages 425-447, October.
  47. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
  48. Hong, Lu & Page, Scott, 2009. "Interpreted and generated signals," Journal of Economic Theory, Elsevier, vol. 144(5), pages 2174-2196, September.
  49. Bottai, carlo & Iori, Martina, 2015. "Knowledge Clusters and Multidimensional Proximity: An Agent-Based Simulation," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201528, University of Turin.
  50. Menezes, Flávio Marques, 1994. "Strategic Behavior in Ascending-Price Multiple-Object Auctions," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 14(1), April.
  51. 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.
  52. Benoît Desmarchelier, 2018. "Service Economies and Complexity," Post-Print hal-02393045, HAL.
  53. 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.
  54. Jasmina Arifovic & James B. Bullard & John Duffy, 1995. "Learning in a model of economic growth and development," Working Papers 1995-017, Federal Reserve Bank of St. Louis.
  55. Thanassekos, Stéphane & Scheld, Andrew M., 2020. "Simulating the effects of environmental and market variability on fishing industry structure," Ecological Economics, Elsevier, vol. 174(C).
  56. Peter Moran & Michele Simoni & Gianluca Vagnani, 2011. "Becoming the best: by beating or ignoring the best? Toward an expanded view of the role of managerial selection in complex and turbulent environments," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 15(3), pages 447-481, August.
  57. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2016. "A Simple Agent-Based Spatial Model of the Economy: Tools for Policy," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-12.
  58. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
  59. Bernardo Alves Furtado & Ricardo Machado Ruiz, 2006. "Metrópole Fractal: Um Modelo Com Autômatos Celulares Para Análise Do Espaço Urbano," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 73, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  60. Alejandro Diaz Bautista & Mauro Diaz Dominguez, 2004. "Capital Humano y Crecimiento Económico en México (1970-2000). Human Capital and Economic Growth in Mexico," Urban/Regional 0405008, University Library of Munich, Germany.
  61. 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.
  62. Leopoldo S'anchez-Cant'u & Carlos Arturo Soto-Campos & Andriy Kryvko, 2016. "Evidence of Self-Organization in Time Series of Capital Markets," Papers 1604.03996, arXiv.org, revised Mar 2017.
  63. 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.
  64. Daniel Carpenter & Kevin Esterling & David Lazer, 2003. "The Strength of Strong Ties," Rationality and Society, , vol. 15(4), pages 411-440, November.
  65. Scott E. Page, 2008. "Uncertainty, Difficulty, and Complexity," Journal of Theoretical Politics, , vol. 20(2), pages 115-149, April.
  66. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.
  67. John H. Miller, 1996. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Working Papers 96-03-011, Santa Fe Institute.
  68. Tomas Klos, "undated". "Decentralized Interaction and Co-adaptation in the Repeated Prisoner's Dilemma," Computing in Economics and Finance 1997 88, Society for Computational Economics.
  69. Tesfatsion, Leigh, 1995. "How Economists Can Get Alife," Economic Reports 18196, Iowa State University, Department of Economics.
  70. Ricardo Ruiz & Bernardo Alves Furtado, 2007. "An Agent Based Model for Urban Structure: the case of Belo Horizonte - Brazil," EcoMod2007 23900079, EcoMod.
  71. Moncada, J.A. & Verstegen, J.A. & Posada, J.A. & Junginger, M. & Lukszo, Z. & Faaij, A. & Weijnen, M., 2018. "Exploring policy options to spur the expansion of ethanol production and consumption in Brazil: An agent-based modeling approach," Energy Policy, Elsevier, vol. 123(C), pages 619-641.
  72. Marco Casari, 2003. "Does bounded rationality lead to individual heterogeneity? The impact of the experimentation process and of memory constraints," UFAE and IAE Working Papers 583.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  73. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.
  74. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Public Service Innovation Networks (PSINs): Collaborating for Innovation and Value Creation," Working Papers halshs-01934275, HAL.
  75. Alejandro Reveiz Herault, 2008. "Artificial Markets under a Complexity Perspective," Borradores de Economia 510, Banco de la Republica de Colombia.
  76. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
  77. Kathleen M. Carley & David M. Svoboda, 1996. "Modeling Organizational Adaptation as a Simulated Annealing Process," Sociological Methods & Research, , vol. 25(1), pages 138-168, August.
  78. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
  79. Gaston Heimeriks, 2009. "Governing science as a complex adaptive system," Innovation Studies Utrecht (ISU) working paper series 09-16, Utrecht University, Department of Innovation Studies, revised Nov 2009.
  80. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
  81. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," Caepr Working Papers 2008-010, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
  82. Gérard Ballot & Erol Taymaz, 1999. "Technological Change, Learning and Macro-Economic Coordination: an Evolutionary Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-3.
  83. Bullard, James & Duffy, John, 1998. "A model of learning and emulation with artificial adaptive agents," Journal of Economic Dynamics and Control, Elsevier, vol. 22(2), pages 179-207, February.
  84. de Area Leão Pereira, Eder Johnson & da Silva, Marcus Fernandes & Pereira, H.B.B., 2017. "Econophysics: Past and present," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 251-261.
  85. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
  86. Magda Fontana, 2010. "The Santa Fe Perspective on economics: emerging patterns in the science of complexity," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 167-196.
  87. Danilo Liuzzi & Aymeric Vié, 2022. "Staring at the Abyss: a neurocognitive grounded agent-based model of collective-risk social dilemma under the threat of environmental disaster," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 613-637, April.
  88. Hélène Tordjman, 1997. "Spéculation, hétérogénéité des agents et apprentissage : un modèle de "marché des changes artificiel"," Revue Économique, Programme National Persée, vol. 48(4), pages 869-897.
  89. Robert Hoffmann, 2001. "Social Cognition in the Evolutionary Chicken Game," Occasional Papers 2, Industrial Economics Division, revised 10 Apr 2001.
  90. Robert Hoffmann, 1999. "The Independent Localisations of Interaction and Learning in the Repeated Prisoner's Dilemma," Theory and Decision, Springer, vol. 47(1), pages 57-72, August.
  91. Rudolf Vetschera & D. Marc Kilgour, 2013. "Strategic Behavior in Contested-Pile Methods for Fair Division of Indivisible Items," Group Decision and Negotiation, Springer, vol. 22(2), pages 299-319, March.
  92. Bernd-O. Heine & Matthias Meyer & Oliver Strangfeld, 2005. "Stylised Facts and the Contribution of Simulation to the Economic Analysis of Budgeting," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-4.
  93. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
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  96. Sylvie Geisendorf, 2016. "The impact of personal beliefs on climate change: the “battle of perspectives” revisited," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 551-580, July.
  97. Tomas B. Klos, 1999. "Decentralized Interaction and Co-Adaptation in the Repeated Prisoner&2018;s Dilemma," Computational and Mathematical Organization Theory, Springer, vol. 5(2), pages 147-165, July.
  98. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
  99. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Les réseaux d'innovation de service public (RISP) : un instrument d'innovation collaborative et de co-création de valeur dans le(s) service(s) public(s)," Working Papers halshs-01934290, HAL.
  100. Yurdagül Benteşen Yakut, 2024. "Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving ," Energies, MDPI, vol. 17(4), pages 1-20, February.
  101. Tyler Freeman & James Nolan & Richard Schoney, 2009. "An Agent‐Based Simulation Model of Structural Change in Canadian Prairie Agriculture, 1960–2000," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 537-554, December.
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  103. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
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  107. Marco Casari, 2002. "Can genetic algorithms explain experimental anomalies? An application to common property resources," UFAE and IAE Working Papers 542.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  108. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
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  110. Weijun Zeng & Minqiang Li & Nan Feng, 2017. "The effects of heterogeneous interaction and risk attitude adaptation on the evolution of cooperation," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 435-459, July.
  111. Viergutz, Tim & Schulze-Ehlers, Birgit, 2016. "The Spatiotemporal Interrelatedness of Farmers’ Switching Decisions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235882, Agricultural and Applied Economics Association.
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  118. Chareunsy, Andrea K., 2018. "Diffusion of development initiatives in a southern Lao community: An agent based evaluation," Journal of Asian Economics, Elsevier, vol. 54(C), pages 53-68.
  119. Casari, Marco, 2008. "Markets in equilibrium with firms out of equilibrium: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 261-276, February.
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  122. Scott E. Page, 2021. "The simulation manifesto: A commentary on Lustick and Tetlock 2021," Futures & Foresight Science, John Wiley & Sons, vol. 3(2), June.
  123. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Public service innovation networks (PSINs): an instrument for collaborative innovation and value co-creation in public service(s)," Working Papers halshs-01934284, HAL.
  124. Stepan Cabelka & Jacek Cukrowski, 2001. "R&D in Duopoly with Spillovers: Evolution and Aspiration Learning," Industrial Organization 0012005, University Library of Munich, Germany.
  125. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2017. "Economic growth, business cycles and products variety: exploring the role of demand satiety," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 503-529, July.
  126. 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.
  127. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
  128. John H. Miller, 1995. "Evolving Information Processing Organizations," Working Papers 95-06-053, Santa Fe Institute.
  129. Vagnani, Gianluca, 2009. "The Black-Scholes model as a determinant of the implied volatility smile: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 103-118, October.
  130. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," CAEPR Working Papers 2008-010, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  131. James Anderson & Alok Chaturvedi & Mike Cibulskis, 2007. "Simulation tools for developing policies for complex systems: Modeling the health and safety of refugee communities," Health Care Management Science, Springer, vol. 10(4), pages 331-339, December.
  132. Amy Peng & Francis McKenna, 2009. "Evolution of the Week," Working Papers 012, Ryerson University, Department of Economics.
  133. Celo, Sokol & Lehrer, Mark, 2022. "How much lateral collaboration is optimal? Insights from computer simulations of MNEs as complex adaptive systems," Journal of World Business, Elsevier, vol. 57(3).
  134. Guo, Christopher & Costello, Christopher, 2013. "The value of adaption: Climate change and timberland management," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 452-468.
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