Aside from his remarkable studies in psychology and the social sciences, Donald Thomas Campbell (1916–1996) made significant contributions to philosophy, particularly philosophy of science,epistemology, and ethics. His name and his work are inseparably linked with the evolutionary approach to explaining human knowledge (evolutionary epistemology). He was an indefatigable supporter of the naturalistic turn in philosophy and has strongly influenced the discussion of moral issues (evolutionary ethics). The aim of this paper is to briefly characterize Campbells work and to discuss its (...) philosophical implications. In particular, I show its relevance to some current debates in the intersection of biology and philosophy. In fact, philosophy of biology would look poorer without Campbells influence. The present paper is not a hagiography but an attempt to evaluate and critically discuss the meaning of Campbells work for philosophy of biology and to encourage scholars working in this field to read and re-read this work which is both challenging and inspiring. (shrink)

The primary outcome of natural selection is adaptation to an environment. The primary concern of epistemology is the acquistion of knowledge. Evolutionary epistemology must therefore draw a fundamental connection between adaptation and knowledge. Existing frameworks in evolutionary epistemology do this in two ways; (a) by treating adaptation as a form of knowledge, and (b) by treating the ability to acquire knowledge as a biologically evolved adaptation. I criticize both frameworks for failing to appreciate that mental representations can motivate behaviors that (...) are adaptive in the real world without themselves directly corresponding to the real world. I suggest a third framework in which mental representations are to reality as species are to ecosystems. This is a many-to-one relationship that predicts a diversity of adaptive representations in the minds of interacting people. As “species of thought”, mental representations share a number of properties with biological species, including isolating mechanisms that prevent them from blending with other representations. Species of thought also are amenable to the empirical methods that evolutionists use to study adaptation in biological species. Empirical studies of mental representations in everyday life might even be necessary for science to succeed as a normative “truth-seeking” discipline. (shrink)

This paper is concerned with the debate in evolutionary epistemology about the nature of the evolutionary process at work in the development of science: whether it is Darwinian or Lamarckian. It is claimed that if we are to make progress through the many arguments that have grown up around this issue, we must return to an examination of the concepts of change and evolution, and examine the basic kinds of mechanism capable of bringing evolution about. This examination results in two (...) kinds of processes being identified, dubbed direct and indirect, and these are claimed to exhaust all possibilities. These ideas are then applied to a selection of the debates within evolutionary epistemology. It is shown that while arguments about the pattern and rate of evolutionary change are necessarily inconclusive, those concerning the origin of novel variations and the mode of inheritance can be resolved by means of the distinctions made here. It is claimed that the process of selection in the evolution of science can also be clarified. The conclusion is that the main process producing the evolution of science is a direct or Lamarckian one although, if realism is correct, an indirect or Darwinian process plays a vital role. (shrink)

I examine the branch of evolutionary epistemology which tries to account for the character of cognitive mechanisms in animals and humans by extending the biological theory of evolution to the neurophysiological substrates of cognition. Like Plotkin, I construe this branch as a struggling science, and attempt to characterize the sort of theory one might expect to find this truly interdisciplinary endeavor, an endeavor which encompasses not only evolutionary biology, cognitive psychology, and developmental neuroscience, but also and especially, the computational modeling (...) of artificial life programming; I suggest that extending Schaffner''s notion of interlevel theories to include both horizontal and vertical levels of abstraction best fits the theories currently being developed in cognitive science. Finally, I support this claim with examples drawn from computational modeling data using the genetic algorithm. (shrink)