We argue that Brandon and Carson's (1996) "The Indeterministic Character of Evolutionary Theory" fails to identify any indeterminism that would require evolutionary theory to be a statistical or probabilistic theory. Specifically, we argue that (1) their demonstration of a mechanism by which quantum indeterminism might "percolate up" to the biological level is irrelevant; (2) their argument that natural selection is indeterministic because it is inextricably connected with drift fails to join the issue with determinism; and (3) their view that experimental (...) methodology in botany assumes indeterminism is both false and incompatible with the commitment to discoverable causal mechanisms underlying biological processes. We remain convinced that the probabilism of the theory of evolution is epistemically, not ontologically, motivated. (shrink)

This paper takes a critical look at the idea that evolutionary theory is a statistical theory. It argues that despite the strong instrumental motivation for statistical theories, they are not necessary to explain deterministic systems. Biological evolution is fundamentally a result of deterministic processes. Hence, a statistical theory is not necessary for describing the evolutionary forces of genetic drift and natural selection, nor is it needed for describing the fitness of organisms. There is a computational advantage to the statistical theory (...) of population genetics, but population genetics succeeds only by eliminating causes from its account of evolutionary change. (shrink)

This collection of essays by Robert Brandon spans two decades and most of the important problems in the philosophy of biology. Four of his five most important contributions to the philosophy of biology can be found here: the concept of relative adaptedness and its role in the propensity interpretation of fitness; the principle of natural selection; the use of the screening-off relation in defense of organismic selection; and the distinction between units of selection and levels of selection. The fifth major (...) contribution, an analysis of the concept of "environment," mentioned briefly in an essay on the co-evolution of organisms and environment, is given an extended treatment in his 1990 book, Adaptation and Environment. (shrink)

In this paper I discuss how, given the complexity of biological systems, reliance on theoretical models in the development and testing of biological theories leads to an uncomfortable form of anti-realism. I locate the source of this discomfort in the uniqueness and hence diversity of biological phenomena, in contrast with the simplicity and uniformity of the subject matter of physics. I have argued elsewhere that the use of theoretical models creates an unresolvable tension between the explanatory strength and predictive power (...) of hypotheses, and I review this argument again here. My discussion parallels that of Nancy Cartwright, who claims that the use of ceteris paribus laws in physics creates an antagonism between truth and explanation that requires theoretical models to figure centrally in scientific explanation, thereby precluding realism. I argue instead that in biology it is the use of theoretical models that creates this conflict, and conclude that adequate biological explanation cannot rely on the modeling approach alone. Finally, I claim that if we accept the semantic view of theories, which makes theoretical models an integral part of our conception of theories, we must accept anti-realism as well. (shrink)

The semantic view of scientific theories has been defended as more adequate than the “received” view, especially with respect to biological theories (Beatty 1980, 1981; Thompson 1983). However, the semantic view has not been evaluated on its own terms. In this paper I first show how the theory of sociobiology propounded by E.O. Wilson (1975) can be understood on the semantic approach. I then discuss the criticism that Wilson’s theory is beset by the problem of unreliable generalizations. I suggest that (...) this problem results from the use of the model-building strategy in theory. I conclude that the problem is pressing enough to impugn the semantic view as an adequate account of sociobiological theory.According to proponents of the semantic view of theories, scientific theories function to specify a class of “models,” interpretations, or representations of their postulates. (shrink)