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A Bayesian Approach to the Validation of Agent-Based Models

Intelligent Systems Reference Library, ISSN: 1868-4394, Vol: 44, Page: 255-269
2013
  • 8
    Citations
  • 0
    Usage
  • 30
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    8
    • Citation Indexes
      8
  • Captures
    30

Book Chapter Description

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. © Springer-Verlag Berlin Heidelberg 2013.

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