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A New Method to Evaluate Simulation Models: The Calibration Profile (CP) Algorithm A New Method to Evaluate Simulation Models: The Calibration Profile (CP) Algorithm

Abstract : Models of social systems generally contain free parameters that can-not be evaluated directly from data. A calibration phase is therefore necessary to assess the capacity of the model to produce the expected dynamics. However, despite the high computational cost of this calibra-tion it doesn't produce a global picture of the relationship between the parameter space and the behaviour space of the model. The Calibration Profile (CP) algorithm is an innovative method extending the concept of automated calibration processes. It computes a profile that depicts the effect of each single parameter on the model behaviour, independently from the others. A 2-dimensional graph is thus produced exposing the impact of the parameter under study on the capacity of the model to pro-duce expected dynamics. The first part of this paper is devoted to the formal description of the CP algorithm. In the second part,we apply it to an agent based geographical model (SimpopLocal). The analysis of the results brings to light novel insights on the model.
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Submitted on : Tuesday, February 24, 2015 - 1:34:11 PM
Last modification on : Tuesday, July 19, 2022 - 10:51:00 AM

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  • HAL Id : hal-01118936, version 1

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Romain Reuillon, Clara Schmitt, Ricardo de Aldama, Jean-Baptiste Mouret. A New Method to Evaluate Simulation Models: The Calibration Profile (CP) Algorithm A New Method to Evaluate Simulation Models: The Calibration Profile (CP) Algorithm. Journal of Artificial Societies and Social Simulation, SimSoc Consortium, 2015, 18 (1), http://jasss.soc.surrey.ac.uk/18/1/12.html. ⟨hal-01118936⟩

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