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Agentes computacionales y análisis económico

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  • Juan Manuel Larrosa

Abstract

La simulación de sistemas de agentes múltiples y los modelos basados en agentes utilizan entidades virtuales que interactúan siguiendo reglas en ambientes controlados, y permiten entender el comportamiento de los agentes reales considerando aspectos como la heterogeneidad, la espacialidad y la racionalidad limitada. Así se pueden modelar muchos fenómenos económicos y obtener resultados significativos. Este ensayo revisa los aportes de la economía computacional basada en agentes, destaca sus aspectos promisorios y sus limitaciones.

Suggested Citation

  • Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
  • Handle: RePEc:rei:ecoins:v:18:y:2016:i:34:p:87-113
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    1. G. Fagiolo & C. Birchenhall & P. Windrum, 2007. "Empirical Validation in Agent-based Models: Introduction to the Special Issue," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 189-194, October.
    2. Nuno David & Jaime Simão Sichman & Helder Coelho, 2005. "The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-2.
    3. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    4. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    5. Matthew Oremland & Reinhard Laubenbacher, 2014. "Using difference equations to find optimal tax structures on the SugarScape," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 9(2), pages 233-253, October.
    6. Tesfatsion, Leigh, 1999. "Hysteresis In An Evolutionary Labor Market With Adaptive Search," Economic Reports 18189, Iowa State University, Department of Economics.
    7. Zhang, Tao & Zhang, David, 2007. "Agent-based simulation of consumer purchase decision-making and the decoy effect," Journal of Business Research, Elsevier, vol. 60(8), pages 912-922, August.
    8. Finn E. Kydland & Edward C. Prescott, 1996. "The Computational Experiment: An Econometric Tool," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 69-85, Winter.
    9. Flaminio Squazzoni & Riccardo Boero, 2002. "Economic Performance, Inter-Firm Relations and Local Institutional Engineering in a Computational Prototype of Industrial Districts," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(1), pages 1-1.
    10. Leigh TESFATSION, 1995. "How Economists Can Get Alife," Economic Report 37, Iowa State University Department of Economics.
    11. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    12. Neugart, Michael, 2008. "Labor market policy evaluation with ACE," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 418-430, August.
    13. Nils B. Weidmann & Luc Girardin, 2005. "Technical Note: Evaluating Java Development Kits for Agent-Based Modeling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(2), pages 1-8.
    14. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: An Agent-Based Microsimulation of Labour Supply – An Application to Italy," Computational Economics, Springer;Society for Computational Economics, vol. 27(1), pages 63-88, February.
    15. Li, Hongyan & Sun, Junjie & Tesfatsion, Leigh, 2010. "Testing Institutional Arrangements Via Agent-Based Modeling: A U.S. Electricity Market Example," Staff General Research Papers Archive 13155, Iowa State University, Department of Economics.
    16. Alison Heppenstall & Andrew Evans & Mark Birkin, 2006. "Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(3), pages 1-2.
    17. Vito Albino & Nunzia Carbonara & Ilaria Giannoccaro, 2003. "Coordination Mechanisms Based on Cooperation and Competition Within Industrial Districts: an Agent-Based Computational Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(4), pages 1-3.
    18. Charlotte Bruun & Francesco Luna, 1999. "Endogenous Growth in a Swarm Economy: Fighting Time, Space, and Complexity," Computing in Economics and Finance 1999 1354, Society for Computational Economics.
    19. Scott Moss & Bruce Edmonds & Steve Wallis, 1997. "Validation and Verification of Computational Models with Multiple Cognitive Agents," Discussion Papers 97-25, Manchester Metropolitan University, Centre for Policy Modelling.
    20. Thomas Brenner, 2001. "Simulating the Evolution of Localised Industrial Clusters - an Identification of the Basic Mechanisms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-4.
    21. Jorge Andrés Gallego, 2007. "Aplicaciones de la economía computacional y la teoría de la complejidad," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 9(17), pages 369-374, July-Dece.
    22. Tesfatsion, Leigh, 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," ISU General Staff Papers 200201010800001251, Iowa State University, Department of Economics.
    23. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling and Macroeconomics," ISU General Staff Papers 200601010800001585, Iowa State University, Department of Economics.
    24. Matteo Richiardi, 2003. "The Promises and Perils of Agent-Based Computational Economics," LABORatorio R. Revelli Working Papers Series 29, LABORatorio R. Revelli, Centre for Employment Studies.
    25. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    26. Giorgio Fagiolo & Giovanni Dosi & Roberto Gabriele, 2005. "Towards an evolutionary interpretation of aggregate labor market regularities," Springer Books, in: Uwe Cantner & Elias Dinopoulos & Robert F. Lanzillotti (ed.), Entrepreneurships, the New Economy and Public Policy, pages 223-252, Springer.
    27. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    28. 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.
    29. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    30. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    31. Joseph E Stiglitz & Mauro Gallegati, 2011. "Heterogeneous Interacting Agent Models for Understanding Monetary Economies," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 6-12.
    32. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.
    33. Schenk, Tilman A. & Loffler, Gunter & Rauh, Jurgen, 2007. "Agent-based simulation of consumer behavior in grocery shopping on a regional level," Journal of Business Research, Elsevier, vol. 60(8), pages 894-903, August.
    34. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    35. Roberto Gabriele, 2002. "Labor Market Dynamics and Institutions: an Evolutionary Approach," LEM Papers Series 2002/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    36. Charlotte Bruun, 2002. "Programming," Computing in Economics and Finance 2002 318, Society for Computational Economics.
    37. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 195-226, October.
    38. 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.
    39. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253.
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