A Framework for the Calibration of Social Simulation Models


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.

Advs in Complex Syst. 16, p. 1350030


  Title                    = {A Framework for the Calibration of Social Simulation Models},
  Author                   = {Giovanni Luca Ciampaglia},
  Journal                  = {Advs Complex Sys.},
  Year                     = {2012},
  Pages                    = {1350030},
  Volume                   = {16},

  Doi                      = {10.1142/S0219525913500306}