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We propose a general protocol for calibration and validation of complex simulation models by an approach based on discovery and comparison of causal structures. The key idea is that configurations of parameters of a given theoretical model are selected by minimizing a distance index between two...
Persistent link: https://www.econbiz.de/10014318968
Full-text of this article is not available in this e-prints service. This article was originally published in Journal of Artificial Societies and Social Simulation, published by and copyright University of Surrey, Department of Sociology.
Persistent link: https://www.econbiz.de/10009455002
The original publication is available at http://www.springer.com/
Persistent link: https://www.econbiz.de/10009455003
This paper addresses a set of methodological problems arising in the empirical validation of agent-based (AB) economics models and discusses how these are currently being tackled. These problems are generic for all those engaged in AB modelling, not just economists. The discussion is therefore...
Persistent link: https://www.econbiz.de/10005481587
Persistent link: https://www.econbiz.de/10005701744
We propose a general protocol for calibration and validation of complex simulation models by an approach based on discovery and comparison of causal structures. The key idea is that configurations of parameters of a given theoretical model are selected by minimizing a distance index between two...
Persistent link: https://www.econbiz.de/10013441565