Techniques for Analysis and Calibration of Multi-agent Simulations

نویسندگان

  • Manuel Fehler
  • Franziska Klügl-Frohnmeyer
  • Frank Puppe
چکیده

In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding society simulation model. The techniques address typical problems of multi agent simulation calibration like the vast amount of parameters that need to be calibrated, the complex parameter dependencies due to interactions between the simulated agents and the generally enormous computational cost of running a multi agent simulation.

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تاریخ انتشار 2004