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The range of predictions for calibrated agent-based simulation models

3 years 6 months ago
The range of predictions for calibrated agent-based simulation models
Agent-based simulation is increasingly used to study systems in many areas of business and science. Using agentbased simulation for prediction could be very valuable. However, these models usually have a lot of parameters which are difficult to measure directly leading to uncertainty as to the best values to use. Obtaining the values for the parameters may require calibration of the model against observed historical output data. This type of problem is an inverse problem and there may be many sets of feasible parameter values giving a wide range of predictions. The work described here investigated the extent of this problem for a word of mouth consumer model.
DongFang Shi, Roger J. Brooks
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2007
Where WSC
Authors DongFang Shi, Roger J. Brooks
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