A FRAMEWORK FOR THE CALIBRATION OF SOCIAL SIMULATION MODELS
Giovanni Luca Ciampaglia ()
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Giovanni Luca Ciampaglia: Center for Complex Networks and Systems Research, School of Informatics and Computing, Indiana University, 919 E 10th St., Bloomington, IN 47408, USA
Advances in Complex Systems (ACS), 2013, vol. 16, issue 04n05, 1-29
Abstract:
Simulation with agent-based models is increasingly used in the study of complex socio-technical systems and in social simulation in general. This paradigm offers a number of attractive features, namely the possibility of modeling emergent phenomena within large populations. As a consequence, often the quantity in need of calibration may be a distribution over the population whose relation with the parameters of the model is analytically intractable. Nevertheless, we can simulate. In this paper we present a simulation-based framework for the calibration of agent-based models with distributional output based on indirect inference. We illustrate our method step by step on a model of norm emergence in an online community of peer production, using data from three large Wikipedia communities. Model fit and diagnostics are discussed.
Keywords: Agent-based model; calibration; indirect inference; Wikipedia; norm emergence (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:16:y:2013:i:04n05:n:s0219525913500306
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DOI: 10.1142/S0219525913500306
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