A Bayesian Approach to the Validation of Agent-Based Models

نویسندگان

  • Kevin B. Korb
  • Nicholas Geard
  • Alan Dorin
چکیده

The rapid expansion of agent-based simulation modeling has left the theory of model validation behind its practice. Much of the literature emphasizes the use of empirical data for both calibrating and validating agent-based models. But a great deal of the practical effort in developing models goes into making sense of expert opinions about a modeling domain. Here we present a unifying view which incorporates both expert opinion and data in validating models, drawing upon Bayesian philosophy of science. We illustrate this in reference to a demographic model.

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تاریخ انتشار 2013