Towards Mechanism 2.1: A Dynamic Causal Approach
作者： Wei Fang
DOI: 10.1086/715081
关键词: Causation 、 Causal system 、 Computer science 、 Mechanism (philosophy) 、 Phenomenon 、 Cognitive science
摘要: I propose a dynamic causal approach to characterizing the notion of mechanism. Levy and Bechtel, among others, have pointed out several critical limitations new mechanical philosophy, in direction extend this philosophy. Nevertheless, they not fully fleshed what that extended philosophy would look like. Based on closer at neuroscientific practice, mechanism is system involves various components interacting, typically nonlinearly, with one another produce phenomenon interest.
sci-hub.st 参考文章(17)
Alexander Gebharter, Marie I. Kaiser, Causal Graphs and Biological Mechanisms Synthese Library. pp. 55- 85 ,(2014) , 10.1007/978-94-007-7563-3_3
Phyllis Mckay Illari, Federica Russo, Jon Williamson, Lorenzo Casini, Models for Prediction, Explanation and Control ,(2011)
William Bechtel, Discovering Cell Mechanisms: The Creation of Modern Cell Biology ,(2005)
Carl F. Craver, Explaining the brain : mechanisms and the mosaic unity of neuroscience Oxford University Press. ,(2007)
Clark N. Glymour, Peter Spirtes, Richard Scheines, Causation, prediction, and search ,(1993)
Stuart Glennan, Rethinking Mechanistic Explanation Philosophy of Science. ,vol. 69, ,(2002) , 10.1086/341857
Klaas E Stephan, Lee M Harrison, Stefan J Kiebel, Olivier David, Will D Penny, Karl J Friston, Dynamic causal models of neural system dynamics: current state and future extensions Journal of Biosciences. ,vol. 32, pp. 129- 144 ,(2007) , 10.1007/S12038-007-0012-5
Peter Machamer, Lindley Darden, Carl F. Craver, Thinking about Mechanisms Philosophy of Science. ,vol. 67, pp. 1- 25 ,(2000) , 10.1086/392759
David Michael Kaplan, Carl F Craver, None, The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective* Philosophy of Science. ,vol. 78, pp. 601- 627 ,(2011) , 10.1086/661755