A FRAMEWORK FOR THE CALIBRATION OF SOCIAL SIMULATION MODELS

作者：Ciampaglia Giovanni Luca^*

来源：Advances in Complex Systems, 2013, 16(4-5): 1350030.

DOI：10.1142/S0219525913500306

• Agent-based model
• calibration
• indirect inference
• Wikipedia
• norm emergence

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.

• 出版日期2013-8