Standardization of Agent-based Modeling in Economic System

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Authors

  • Xihao Li Department of Economics and Social Sciences (DiSES), Universit`a Politecnica delle Marche, Piazzale Martelli 8, 60121 Ancona, Italy Author

DOI:

https://doi.org/10.5890/DNC.2014.09.006

Abstract

This work combines generic complexity of economic system and economic agents with methodologies of multi-agent system analysis and development. This combination results in an integrative framework that serves as communication protocol for delivering and transmitting agent-based model for economic system. The integrative framework provides guidance for analyzing economic system in micro-level, which embeds with properties of complexity in structure, heterogeneity in agents’ beliefs, and interactions among agents’ behaviors. It provides routines on developing standardized agent-based model for economic system that can be used and reused among interdisciplinary research.

References

[1] Leigh, S. Tesfatsion (2006), Agent-based computational economics: A contructive approach to economic theory, in Leigh, S. Tesfatsion and Kenneth, L. Judd, editors, Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, North-Holland.

[2] Leigh, S. Tesfatsion and Kenneth, L. Judd. (2006), Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics, Handbooks in Economics Series, North-Holland.

[3] Trichet, Jean-Claude (2010), Reflections on the nature of monetary policy non-standard measures and finance theory, Opening address at the ecb central banking conference, frankfurt, 18 november 2010, European Central Bank.

[4] Joseph, E. Stiglitz (2011), Rethinking macroeconomics: What failed, and how to repair it, Journal of the European Economic Association, 9(4), 591-645.

[5] Gallegati, M., Palestrini, A., and Barkley Rosser, J. (2011), The period of financial distress in speculative markets: Interacting heterogeneous agents and financial constraints, Macroeconomic Dynamics, 15(01), 60-79.

[6] Joseph, E. Stiglitz and Gallegati, M. (2011), Heterogeneous interacting agent models for understanding monetary economies, Eastern Economic Journal, 37(1), 6-12.

[7] Battiston, S., Delli Gatti, D., Gallegati, M., Greenwald, B., and Stiglitz, J. E. (2012), Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk, Journal of Economic Dynamics and Control, 36(8), 1121-1141.

[8] Battiston, S., Gatti, D. D., Gallegati, M., Greenwald, B., and Stiglitz, J.E. (2012), Default cascades: When does risk diversification increase stability? Journal of Financial Stability, 8(3), 138-149.

[9] Caccioli, F., Catanach, T.A., and Farmer, J.D. (2012), Heterogeneity, correlations and financial contagion, Advances in Complex Systems, 15(2).

[10] Domenico Delli Gatti, Mauro Gallegati, Bruce C. Greenwald, Alberto Russo, and Joseph E. Stiglitz (2012), Mobility constraints, productivity trends, and extended crises, Journal of Economic Behavior & Organization, 83(3), 375-393.

[11] Wooldridge ,M. (1997), Agent-based software engineering, IEE Proceedings-Software, 144(1), 26-37..

[12] Jennings, N.R. (2000), On agent-based software engineering, Artificial intelligence, 117(2), 277-296.

[13] Rao, A.S., and Georgeff, M.P. (1995), Formal models and decision procedures for multi-agent systems, Technical Note, 61, Australian AI Institute.

[14] d'Inverno, M., Luck, M., Georgeff, M., Kinny, D., and Wooldridge,M. (2004), The dmars architechure: A specification of the distributed multi-agent reasoning system, Journal of Autonomous Agents and Multi-Agent Systems, 5-53.

[15] Wooldridge, M., Jennings, N.R., and Kinny, D. (2000), The gaia methodology for agent-oriented analysis and design, Journal of Autonomous Agents and Multi-Agent Systems, 3(3), 285-312.

[16] Zambonelli, F., Jennings, N.R., and Wooldridge, M. (2003), Developing multiagent systems: The gaia methodology, ACM Transactions on Software Engineering Methodology, 12(3), 317-370.

[17] Pindyck, R. and Rubinfeld, D. (2001), Microeconomics, Prentice Hall, 5th edition edition.

[18] Matthew O. Jackson (2008), Social and Economic Networks, Princeton University Press, Princeton, NJ, USA.

[19] Jason Potts (2000), The new evolutionary microeconomics, New horizons in institutional and evolutionary economics, Elgar.

[20] Daniel Kahneman and Amos Tversky, (2000), Choices, Values, and Frames, Cambridge University Press, Cambridge.

[21] Colin F. Camerer, George Loewenstein, and Matthew Rabin,(2003), Advances in Behavioral Economics, Princeton University Press.

[22] Simone Landini,Mauro Gallegati, Joseph E. Stiglitz, Xihao Li, and Corrado Di Guilmi (2014), Learning social atoms: Effects on macro dynamics, Springer-Verlag, forthcoming.

[23] Stuart, J.R. and Norvig, P. (2003), Artificial intelligence, a Modern Approach, Prentice Hall series in artificial intelligence, Prentice Hall, 2. ed. edition.

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PublishedSeptember 2014

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How to Cite

Li, X. (2026). Standardization of Agent-based Modeling in Economic System. Discontinuity, Nonlinearity, and Complexity, 3(3), 293-302. https://doi.org/10.5890/DNC.2014.09.006