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Citations for "Artificial Adaptive Agents in Economic Theory"

by Holland, John H & Miller, John H

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  1. Fontana, Magda, 2010. "Can neoclassical economics handle complexity? The fallacy of the oil spot dynamic," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 584-596, December.
  2. Tony Curson Price, 1997. "Using co-evolutionary programming to simulate strategic behaviour in markets," Levine's Working Paper Archive 588, David K. Levine.
  3. Fontana Magda, 2009. "The Santa Fe Perspective on Economics: emerging patterns in the science of complexity," CESMEP Working Papers 200908, University of Turin.
  4. John H. Miller, 1995. "Evolving Information Processing Organizations," Working Papers 95-06-053, Santa Fe Institute.
  5. Cattaneo, Andrea & Robinson, Sherman, 2000. "Empirical models, rules, and optimization," TMD discussion papers 53, International Food Policy Research Institute (IFPRI).
  6. Shu-Heng Chen & Chia-Hsuan Yeh, 1999. "Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market," Computing in Economics and Finance 1999 613, Society for Computational Economics.
  7. Langlois, Richard N & Foss, Nicolai J, 1999. "Capabilities and Governance: The Rebirth of Production in the Theory of Economic Organization," Kyklos, Wiley Blackwell, vol. 52(2), pages 201-18.
  8. 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).
  9. Sieg, Gernot, 2001. "A political business cycle with boundedly rational agents," European Journal of Political Economy, Elsevier, vol. 17(1), pages 39-52, March.
  10. 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.
  11. 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.
  12. 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.
  13. 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, EconWPA.
  14. 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).
  15. 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.
  16. Fontana Magda, 2008. "The complexity approach to economics : a Paradigm shift," CESMEP Working Papers 200801, University of Turin.
  17. John H. Miller & Martin Shubik, 1992. "Some Dynamics of a Strategic Market Game with a Large Number of Agents," Cowles Foundation Discussion Papers 1037, Cowles Foundation for Research in Economics, Yale University.
  18. Ernan Haruvy & Alvin E. Roth & M. Utku Unver, 2004. "The Dynamics of Law Clerk Matching: An Experimental and Computational Investigation of Proposals for Reform of the Market," Experimental 0404001, EconWPA.
  19. Marco Casari, 2004. "Can Genetic Algorithms Explain Experimental Anomalies?," Computational Economics, Society for Computational Economics, vol. 24(3), pages 257-275, March.
  20. James Bullard & Jasmina Arifovic & John Duffy, 1995. "Learning in a model of economic growth and development," Working Papers 1995-017, Federal Reserve Bank of St. Louis.
  21. 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.
  22. 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 Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  23. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
  24. 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.
  25. Hong, Lu & Page, Scott, 2009. "Interpreted and generated signals," Journal of Economic Theory, Elsevier, vol. 144(5), pages 2174-2196, September.
  26. John H. Miller, 1996. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Working Papers 96-03-011, Santa Fe Institute.
  27. 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).
  28. 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.
  29. Sasaki, Yuya, 2004. "The Equivalence Of Evolutionary Games And Distributed Monte Carlo Learning," Economics Research Institute, ERI Series 28338, Utah State University, Economics Department.
  30. Theo S Eicher & Klaas vant Veld, 2000. "Search in Research: An Evolutionary Approach to Technical Change and Growth"," Working Papers 0005, University of Washington, Department of Economics.
  31. 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.
  32. 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.
  33. Mouck, T., 1998. "Capital markets research and real world complexity: The emerging challenge of chaos theory," Accounting, Organizations and Society, Elsevier, vol. 23(2), pages 189-203, February.
  34. Klos, Tomas B., 1997. "Decentralized interaction and co-adaptation in the repeated prisoner's dilemma," Research Report 97B33, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  35. Alexander Gorobets & Bart Nooteboom, 2006. "Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach," Journal of Management and Governance, Springer, vol. 10(3), pages 277-306, September.
  36. Scott E. Page, 1991. "Simulations and Spatial Voting Methods," Discussion Papers 952, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  37. Brown, Paul M., 1996. "Experimental evidence on money as a medium of exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 583-600, April.
  38. Alejandro Reveiz Herault, . "Artificial Markets under a Complexity Perspective," Borradores de Economia 510, Banco de la Republica de Colombia.
  39. 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.
  40. Benoit Desmarchelier & Faridah Djellal & Faïz Gallouj, 2012. "Knowledge intensive business services and long term growth," Post-Print halshs-00748661, HAL.
  41. 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.
  42. Georges, Christophre, 2006. "Learning with misspecification in an artificial currency market," Journal of Economic Behavior & Organization, Elsevier, vol. 60(1), pages 70-84, May.
  43. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind and Society: Cognitive Studies in Economics and Social Sciences, Fondazione Rosselli, vol. 1(1), pages 57-72, March.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. Weidlich, Anke & Veit, Daniel, 2008. "A critical survey of agent-based wholesale electricity market models," Energy Economics, Elsevier, vol. 30(4), pages 1728-1759, July.
  49. Robert Hoffmann, 2001. "Social Cognition in the Evolutionary Chicken Game," Occasional Papers 1, Nottingham University Business School, revised 10 Apr 2001.
  50. 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.
  51. William Tracy, 2014. "Paradox Lost: The Evolution of Strategies in Selten’s Chain Store Game," Computational Economics, Society for Computational Economics, vol. 43(1), pages 83-103, January.
  52. Scott E. Page, 1992. "Political Parties and Electoral Landscapes," Discussion Papers 997, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  53. Chen, Shu-Heng & Huang, Ya-Chi, 2008. "Risk preference, forecasting accuracy and survival dynamics: Simulations based on a multi-asset agent-based artificial stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 702-717, September.
  54. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
  55. Murat YILDIZOGLU (Université Aix-Marseille3), 2009. "Evolutionary approaches of economic dynamics (In French)," Cahiers du GREThA 2009-16, Groupe de Recherche en Economie Théorique et Appliquée.
  56. Tesfatsion, Leigh S., 1998. "Teaching Agent-Based Computational Economics to Graduate Students," Staff General Research Papers 1199, Iowa State University, Department of Economics.
  57. Amy Peng & Francis McKenna, 2009. "Evolution of the Week," Working Papers 012, Ryerson University, Department of Economics.
  58. Magda Fontana, 2006. "Computer simulations, mathematics and economics," International Review of Economics, Springer, vol. 53(1), pages 96-123, March.
  59. 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.
  60. 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.
  61. Stepan Cabelka & Jacek Cukrowski, 2001. "R&D in Duopoly with Spillovers: Evolution and Aspiration Learning," Industrial Organization 0012005, EconWPA.
  62. 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.
  63. 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.
  64. 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.
  65. 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 and Governance, Springer, vol. 15(3), pages 447-481, August.
  66. 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.
  67. 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.
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