In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press (2010)
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| Abstract |
Some biological processes move from step to step in a way that cannot be completely understood solely in terms of causes and correlations. This paper develops a notion of mechanistic information that can be used to explain the continuities of such processes. We compare them to processes that do not involve information. We compare our conception of mechanistic information to some familiar notions including Crick’s idea of genetic information, Shannon-Weaver information, and Millikan’s biosemantic information
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References found in this work BETA
Thinking About Mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
Unsimple Truths: Science, Complexity, and Policy.Sandra D. Mitchell - 2009 - University of Chicago Press.
Reasoning in Biological Discoveries: Essays on Mechanisms, Interfield Relations, and Anomaly Resolution.Lindley Darden - 2006 - Cambridge University Press.
Citations of this work BETA
Minimal Models and Canonical Neural Computations: The Distinctness of Computational Explanation in Neuroscience.M. Chirimuuta - 2014 - Synthese 191 (2):127-153.
Causal Concepts in Biology: How Pathways Differ From Mechanisms and Why It Matters.Lauren N. Ross - forthcoming - British Journal for the Philosophy of Science:axy078.
Why Theories of Causality Need Production : An Information Transmission Account.Phyllis McKay Illari - 2011 - Philosophy and Technology 24 (2):95-114.
Scientific Explanation.C. Mantzavinos - 2015 - In International Encyclopedia of Social and Behavioral Sciences. Elsevier. pp. 302-307.
View all 8 citations / Add more citations
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