Switch to: References

Add citations

You must login to add citations.
  1. The causal structure of mechanisms.Peter Menzies - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (4):796-805.
    Recently, a number of philosophers of science have claimed that much explanation in the sciences, especially in the biomedical and social sciences, is mechanistic explanation. I argue the account of mechanistic explanation provided in this tradition has not been entirely satisfactory, as it has neglected to describe in complete detail the crucial causal structure of mechanistic explanation. I show how the interventionist approach to causation, especially within a structural equations framework, provides a simple and elegant account of the causal structure (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  • Mechanisms, Modularity and Constitutive Explanation.Jaakko Kuorikoski - 2012 - Erkenntnis 77 (3):361-380.
    Mechanisms are often characterized as causal structures and the interventionist account of causation is then used to characterize what it is to be a causal structure. The associated modularity constraint on causal structures has evoked criticism against using the theory as an account of mechanisms, since many mechanisms seem to violate modularity. This paper answers to this criticism by making a distinction between a causal system and a causal structure. It makes sense to ask what the modularity properties of a (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  • Can Interventions Rescue Glennan’s Mechanistic Account of Causality?Lorenzo Casini - 2016 - British Journal for the Philosophy of Science 67 (4):1155-1183.
    Glennan appeals to interventions to solve the ontological and explanatory regresses that threaten his mechanistic account of causality . I argue that Glennan’s manoeuvre fails. The appeal to interventions is not able to address the ontological regress, and it blocks the explanatory regress only at the cost of making the account inapplicable to non-modular mechanisms. I offer a solution to the explanatory regress that makes use of dynamic Bayesian networks. My argument is illustrated by a case study from systems biology, (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   6 citations