Gebharter, Alexander (2016) Another problem with RBN models of mechanisms. THEORIA. An International Journal for Theory, History and Foundations of Science, 31 (2). pp. 177-188. ISSN 2171-679X
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Abstract
Casini, Illari, Russo, and Williamson (2011) suggest to model mechanisms by means of recursive Bayesian networks (RBNs) and Clarke, Leuridan, and Williamson (2014) extend their modelling approach to mechanisms featuring causal feedback. One of the main selling points of the RBN approach should be that it provides answers to questions concerning manipulation and control. In this paper I demonstrate that the method to compute the effects of interventions the authors mentioned endorse leads to absurd results under the additional assumption of faithfulness, which can be expected to hold in most RBN models of mechanisms.
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| Item Type: | Published Article or Volume | ||||||
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| Additional Information: | ISSN: 0495-4548 (print) | ||||||
| Keywords: | recursive Bayesian networks; mechanism; modelling; intervention; manipulation; control | ||||||
| Subjects: | General Issues > Explanation General Issues > Models and Idealization |
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| Depositing User: | Unnamed user with email theoria@ehu.es | ||||||
| Date Deposited: | 08 Jun 2016 19:49 | ||||||
| Last Modified: | 08 Jun 2016 19:49 | ||||||
| Item ID: | 12179 | ||||||
| Journal or Publication Title: | THEORIA. An International Journal for Theory, History and Foundations of Science | ||||||
| Publisher: | Euskal Herriko Unibertsitatea / Universidad del País Vasco | ||||||
| Official URL: | http://www.ehu.eus/ojs/index.php/THEORIA/article/v... | ||||||
| DOI or Unique Handle: | 10.1387/theoria.14502 | ||||||
| Subjects: | General Issues > Explanation General Issues > Models and Idealization |
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| Date: | May 2016 | ||||||
| Page Range: | pp. 177-188 | ||||||
| Volume: | 31 | ||||||
| Number: | 2 | ||||||
| ISSN: | 2171-679X | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/12179 |
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