ABSTRACT
Validity forms the basic prerequisite for every simulation model, therefore also for reasonable usage of the agent-based simulation paradigm. However, models based on the multi-agent system metaphor tend to need some particular approaches. In this paper, I propose a process for validating agent-based simulation models that combines face validation, sensitivity analysis, calibration and statistical validation.
- R. Axtell, R. Axelrod, J. E. Cohen, and M. D. Cohen. Aligning simulation models - a case study and results. Computational and Mathematical Organization Theory, 1:123--141, 1996.Google ScholarCross Ref
- O. Balci. Validation, verification and testing techniques troughout the life cycle of a simulation study. Annals of Operations Research, 53:121--173, 1994.Google ScholarCross Ref
- O. Barreteau et al. Our companion modeling approach. Journal of Artificial Societies and Social Simulation, 6(2), 2003.Google Scholar
- K. Carley. Validating computational models. Technical report, Carnegie Mellon University, 1996.Google Scholar
- J. Doran and M. Palmer. The eos project: Integrating two models of palaeolithic social change. In N. Gilbert and R. Conte, editors, Artificial Societies - The Computer Simulation of Social Life, chapter 6, pages 103--125. UCL, 1995.Google Scholar
- J. M. Epstein. Generative Social Science: Studies in Agent-based Computational Modeling. Princeton University Press, 2006. Google ScholarDigital Library
- M. Fehler, F. Klügl, and F. Puppe. Learning for analysis and calibration in agent-based simulation. In Proc. of the ALAMAS 2006, Bruessels, 2006.Google Scholar
- P. Guyot and S. Honiden. Agent-based participatory simulations: Merging multi-agent systems and role-playing games. Journal of Artificial Societies and Social Simulation, 9(4), 2006.Google Scholar
- L. R. Izquierdo and J. G. Polhill. Is your model susceptible to floating-point errors? Journal of Artificial Societies and Social Simulation, 9(4):4, 2006.Google Scholar
- A. M. Law. How to build valid and credible simulation models. In M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, editors, Proceedings of the 2005 Winter Simulation Conference, pages 24--32, 2005. Google ScholarDigital Library
- A. M. Law. Simulation Modeling and Analysis. McGraw-Hill, 4th edition, 2007. Google ScholarDigital Library
- R. Leombruni, M. Richiardi, N. J. Saam, and M. Sonnessa. A common protocol for agent-based social simulation. Journal of Artificial Societies and Social Simulation, 9(1), 2006.Google Scholar
- S. Moss, T. E. Downing, and J. Rouchier. Demonstrating the role of stakeholder participation: An agent based social simulation model of water demand policy and response. Technical Report CPM Report No.: 00--76, CPM, 2000.Google Scholar
- R. Suleiman, K. G. Troitzsch, and N. Gilbert, editors. Tools and Techniques for Social Science Simulation. Physica-Verlag, 2000.Google ScholarCross Ref
- K. G. Troitzsch. Validating simulation models. In Proceedings of the 18th European Simulation Multiconference, SCS Europe, 2004.Google Scholar
- B. P. Zeigler. Theory of Modeling and Simulation. John-Wiley, 1976. Google ScholarDigital Library
Index Terms
- A validation methodology for agent-based simulations
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