In:
Advances in Complex Systems, World Scientific Pub Co Pte Ltd, Vol. 16, No. 04n05 ( 2013-08), p. 1350030-
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.
Type of Medium:
Online Resource
ISSN:
0219-5259
,
1793-6802
DOI:
10.1142/S0219525913500306
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2013
SSG:
11
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