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A Bayesian Approach to the Validation of Agent-Based Models

  • Kevin B. Korb
  • Nicholas Geard
  • Alan Dorin
Part of the Intelligent Systems Reference Library book series (ISRL, volume 44)

Abstract

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.

Keywords

Bayesian Network Expert Opinion Bayesian Approach Epistemological Virtue Severe Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kevin B. Korb
    • 1
  • Nicholas Geard
    • 2
  • Alan Dorin
    • 1
  1. 1.Monash UniversityMelbourneAustralia
  2. 2.University of MelbourneMelbourneAustralia

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