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Economic Agents and Markets As Emergent Phenomena

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  • Tesfatsion, Leigh S.

Abstract

An overview of recent work in agent-based computational economics (ACE) is provided, with a stress on the research areas highlighted in the National Academy of Sciences Sackler Colloquium held at the Beckman Center, Irvine, California, in October 2001. Extensive annotated pointers to ACE surveys, research, course materials, and software can be accessed here: http://www2.econ.iastate.edu/tesfatsi/ace.htm

Suggested Citation

  • Tesfatsion, Leigh S., 2002. "Economic Agents and Markets As Emergent Phenomena," Staff General Research Papers Archive 10033, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:10033
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    Cited by:

    1. Baumann, Michael Heinrich & Baumann, Michaela & Erler, Alexander, 2019. "Limitations of stabilizing effects of fundamentalists: Facing positive feedback traders," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-26.
    2. Hazhir Rahmandad & John Sterman, 2008. "Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models," Management Science, INFORMS, vol. 54(5), pages 998-1014, May.
    3. Cristina Ponsiglione & Ivana Quinto & Giuseppe Zollo, 2018. "Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    4. Upadhyay, Shashankaditya & Banerjee, Anirban & Panigrahi, Prasanta K., 2020. "Causal evolution of global crisis in financial networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    5. Cincotti, Silvano & M. Focardi, Sergio & Marchesi, Michele & Raberto, Marco, 2003. "Who wins? Study of long-run trader survival in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 227-233.
    6. Jean Louis Dessalles & Denis Phan, 2005. "Emergence in multi-agent systems:Cognitive hierarchy, detection, and complexity reduction," Computing in Economics and Finance 2005 257, Society for Computational Economics.
    7. Upadhyay, Shashankaditya & Mukherjee, Indranil & Panigrahi, Prasanta K., 2023. "Inner composition alignment networks reveal financial impacts of COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

    More about this item

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D - Microeconomics
    • E - Macroeconomics and Monetary Economics

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