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The Methodology of Simulation Models: Chances and Risks

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Abstract

Introduction to special section

Suggested Citation

  • Andreas Pyka & Claudia Werker, 2009. "The Methodology of Simulation Models: Chances and Risks," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-1.
  • Handle: RePEc:jas:jasssj:2009-73-1
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    File URL: http://jasss.soc.surrey.ac.uk/12/4/1/1.pdf
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    Cited by:

    1. Іllyusha S., 2015. "Modeling Ukraine's technological approaching to the developed countries," Economy and Forecasting, Valeriy Heyets, issue 3, pages 104-122.
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. Concetta Sorropago, 2012. "Incentive Design and Manager Performances: an ABM Approach," Working papers 008, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    4. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    5. repec:tur:wpapnw:8 is not listed on IDEAS
    6. Cristiano Antonelli & Gianluigi Ferraris, 2011. "Innovation as an Emerging System Property: An Agent Based Simulation Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1-1.

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