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CAINE
2007

Parameter Estimation via Analysis of Fuzzy Clusters (PEAF): An Algorithm to Estimate Parameters of Agent-Based Models

9 years 11 months ago
Parameter Estimation via Analysis of Fuzzy Clusters (PEAF): An Algorithm to Estimate Parameters of Agent-Based Models
Biologically focused, agent-based models need many parameters in order to simulate system dynamics. It is often essential to explore the consequences of many parameter vectors before satisfactorily representing phenomena. In this work we propose a simple algorithm based on fuzzy clustering to estimate model parameter values for new situations utilizing the characteristics of previously simulated conditions. The estimated parameters can be used to predict the behavior of the system in a new situation. Using limited data, we successfully applied the algorithm to estimate parameter values of an agent-based model of hepatocytes (liver cells). Predictions provide acceptable correlations with observed values (p < 0.05, R2 = 0.65).
Shahab Sheikh-Bahaei, C. Anthony Hunt
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where CAINE
Authors Shahab Sheikh-Bahaei, C. Anthony Hunt
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