David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Biology and Philosophy 16 (5):653-682 (2001)
Recent work on self organization promises an explanation of complex order which is independent of adaptation. Self-organizing systems are complex systems of simple units, projecting order as a consequence of localized and generally nonlinear interactions between these units. Stuart Kauffman offers one variation on the theme of self-organization, offering what he calls a ``statistical mechanics'' for complex systems. This paper explores the explanatory strategies deployed in this ``statistical mechanics,'' initially focusing on the autonomy of statistical explanation as it applies in evolutionary settings and then turning to Kauffman's analysis. Two primary morals emerge as a consequence of this examination: first, the view that adaptation and self-organization should be seen as competing theories or models is misleading and simplistic; and second, while we need a synthesis treating self-organization and adaptation as geared toward different problems, at different levels of organization, and deploying different methods, we do not yet have such a synthesis.
|Keywords||complexity development emergence evolutionary explanation explanation probability self-organization statistical explanation|
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Sara Green, Melinda Fagan & Johannes Jaeger (2015). Explanatory Integration Challenges in Evolutionary Systems Biology. Biological Theory 10 (1):18-35.
Robert C. Richardson (2006). Chance and the Patterns of Drift: A Natural Experiment. Philosophy of Science 73 (5):642-654.
David J. Depew & Bruce H. Weber (2011). The Fate of Darwinism: Evolution After the Modern Synthesis. Biological Theory 6 (1):89-102.
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