A Bayesian Approach to the Validation of Agent-Based Models
Intelligent Systems Reference Library, ISSN: 1868-4394, Vol: 44, Page: 255-269
2013
- 8Citations
- 30Captures
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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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84885617951&origin=inward; http://dx.doi.org/10.1007/978-3-642-31140-6_14; https://link.springer.com/10.1007/978-3-642-31140-6_14; https://doi.org/10.1007%2F978-3-642-31140-6_14; http://www.springerlink.com/index/10.1007/978-3-642-31140-6_14; http://www.springerlink.com/index/pdf/10.1007/978-3-642-31140-6_14; https://dx.doi.org/10.1007/978-3-642-31140-6_14; https://link.springer.com/chapter/10.1007/978-3-642-31140-6_14
Springer Science and Business Media LLC
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