References
Cartwright, N. (2001). What is wrong with Bayes nets? The Monist, 84(2), 242–264.
Cartwright, N. (2007). Hunting causes and using them. Cambridge: Cambridge University Press.
Casini, L. (2016). How to model mechanistic hierarchies. Philosophy of Science, 83(5), 946–958.
Casini, L., Illari, P. M., Russo, F., & Williamson, J. (2011). Models for prediction, explanation and control: Recursive Bayesian networks. Theoria, 26(1), 5–33.
Craver, C. F. (2007). Explaining the brain. Oxford: Oxford University Press.
Eberhardt, F., & Scheines, R. (2007). Interventions and causal inference. Philosophy of Science, 74(5), 981–995.
Gebharter, A. (2014). A formal framework for representing mechanisms? Philosophy of Science, 81(1), 138–153.
Gebharter, A. (2016). Another problem with RBN models of mechanisms. Theoria, 31(2), 177–188.
Glymour, C. (2007). Learning the structure of deterministic systems. In A. Gopnik & L. Schulz (Eds.), Causal learning: Psychology, philosophy, and computation (pp. 231–240). Oxford: Oxford University Press.
Glymour, C. (2016). Clark Glymour’s responses to the contributions to the Synthese special issue “Causation, probability, and truth: The philosophy of Clark Glymour”. Synthese, 193(4), 1251–1285.
Schurz, G., & Gebharter, A. (2016). Causality as a theoretical concept: Explanatory warrant and empirical content of the theory of causal nets. Synthese, 193(4), 1073–1103.
Spirtes, P., Glymour, C., & Scheines, R. (2000). Causation, prediction, and search (2nd ed.). Cambridge MA: MIT Press.
Woodward, J. (2003). Making things happen. A theory of causal explanation. Oxford: Oxford University Press.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Casini, L. Alexander Gebharter: Causal Nets, Interventionism, and Mechanisms. Philosophical Foundations and Applications. J Gen Philos Sci 49, 481–485 (2018). https://doi.org/10.1007/s10838-018-9418-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10838-018-9418-z