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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad del País Vasco/Euskal Herriko Unibertsitatea
2016
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| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=339746064003 |
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- Another Problem with RBN Models of Mechanisms Alexander Gebharter Filosofía control modeling mechanism intervention manipulation 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 modeling 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 the effects of manipulation and control across the levels of a mechanism. 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 for many RBN models of mechanisms. 2016 artículo científico 0495-4548 https://www.redalyc.org/articulo.oa?id=339746064003 en http://www.redalyc.org/revista.oa?id=3397 THEORIA. Revista de Teoría, Historia y Fundamentos de la Ciencia application/pdf Universidad del País Vasco/Euskal Herriko Unibertsitatea THEORIA. Revista de Teoría, Historia y Fundamentos de la Ciencia (España) Num.2 Vol.31