Eric Smith, “Thermodynamics of Natural Selection” (PDF):
The two paradigms dominating biological theory are the machine-like functioning of componentry (increasingly elaborated in molecular biology) (Alberts, 2002), and the Darwinian framework for understanding the stochastic dynamics of death and reproduction (Gould, 2002; Lewontin, 1974). The representation of biological processes as machines is often by way of models, which represent control flow and causation, and for which the goal is to conceptually or quantitatively reproduce typical observed behaviors (mechanisms of binding, Stormo and Fields, 1998, transcription or translation, Berman et al., 2006, cell cycling, Novak et al., 2001, regulation of cell division, Tyson et al., 2002 or metabolic pathways, Holter et al., 2001, etc.). Energy naturally appears in these contexts as an input, as a quantitative constraint, or as a medium of control. However, models constructed for the purpose of illustrating causality often diminish the importance of the incursion of error at all levels of organization and the consequent energetic costs of systemic error correction, and so are not suited to composition into a system-level description of either emergence or stability. At the other extreme, Darwinian selection is a purely informational theory, concerned with emergence and stabilization through statistical processes. Yet, for lack of a comprehensive theory of individual function, models of the dynamics resulting from selection inevitably take for granted (Hartl and Clark, 1997) the platform of physiology, growth, development, and reproduction, decoupling the problem of information input from energetic constraints on the mechanisms by which it occurs.
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