Biology and Philosophy 14 (1):83-101 (1999)

Abstract
Systems involving many interacting variables are at the heart of the natural and social sciences. Causal language is pervasive in the analysis of such systems, especially when insight into their behavior is translated into policy decisions. This is exemplified by economics, but to an increasing extent also by biology, due to the advent of sophisticated tools to identify the genetic basis of many diseases. It is argued here that a regularity notion of causality can only be meaningfully defined for systems with linear interactions among their variables. For the vastly more important class of nonlinear systems, no such notion is likely to exist. This thesis is developed with examples of dynamical systems taken mostly from mathematical biology. It is discussed with particular reference to the problem of causal inference in complex genetic systems, systems for which often only statistical characterizations exist.
Keywords ceteris paribus  epistasis  nonlinear gene interactions  polygenic diseases  regular causes
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Reprint years 2004
DOI 10.1023/A:1006580900476
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References found in this work BETA

Nature's Capacities and Their Measurement.Nancy Cartwright - 1989 - Oxford, England: Oxford University Press.
The Genetic Basis of Evolutionary Change. R. C. Lewontin.Michael Ruse - 1976 - Philosophy of Science 43 (2):302-304.
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The Cement of the Universe.John Earman & J. L. Mackie - 1976 - Philosophical Review 85 (3):390.
On the notion of cause.B. Russell - 1912 - Scientia 7 (13):317.

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Citations of this work BETA

Environment as Abstraction.Denis Walsh - 2022 - Biological Theory 17 (1):68-79.
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What is a Genetic Cause? The Example of Alzheimer’s Disease.Wim Dekkers & Marcel Olde Rikkert - 2006 - Medicine, Health Care and Philosophy 9 (3):273-284.
Complexity, Self-Organization and Selection.Robert C. Richardson - 2001 - Biology and Philosophy 16 (5):653-682.

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