In a paper entitled “Revolution in Permanence”, published in the collection “Karl Popper: Philosophy and Problems”, John Worrall (1995) severely criticised several aspects of Karl Popper’s work before commenting that “I have no doubt that, given suffi-cient motivation, a case could be constructed on the basis of such remarks that Popper had a more sophisticated version of theory production......” (p. 102). Part of Worrall’s criticism is directed at a “strawpopper”: in his “Darwinian Model” emphasising the similarities and differences between genetic (...) mutation, variation in animal behaviour and the gestation of scientific theories, Popper (1975, 1981, 1994) never stated that tentative scientific conjec-tures “while more or less random, are not completely blind.” He was referring to variation in animal species behaviour, and about tentative scientific conjectures he said nothing, although common sense would indicate that presumably he regarded them as being less blind and less random. In Popper (1977, 1983), giving a summary of his “Darwinian Model”, he repaired this omission about tentative scientific conjectures by inserting the sentence “On a level of World 3 theory formation they are of the character of planned gropings into the unknown.” Recent developments in the field of genetics (see for example Raff (1996), Lewis (1999), Korn (2002)) indicate that Popper’s intuitions were along the modern lines while Worrall’s intuitions are old fashioned. Therefore Popper’s “Darwinian Model” remains both viable and fruitful. (shrink)

There are two interrelated but distinct programs which go by the name evolutionary epistemology. One attempts to account for the characteristics of cognitive mechanisms in animals and humans by a straightforward extension of the biological theory of evolution to those aspects or traits of animals which are the biological substrates of cognitive activity, e.g., their brains, sensory systems, motor systems, etc. (EEM program). The other program attempts to account for the evaluation of ideas, scientific theories and culture in general by (...) using models and metaphors drawn from evolutionary biology (EET program). The paper begins by distinguishing the two programs and discussing the relationship between them. The next section addresses the metaphorical and analogical relationship between evolutionary epistemology and evolutionary biology. Section IV treats the question of the locus of the epistemological problem in the light of an evolutionary analysis. The key questions here involve the relationship between evolutionary epistemology and traditional epistemology and the legitimacy of evolutionary epistemology as epistemology. Section V examines the underlying ontological presuppositions and implications of evolutionary epistemology. Finally, section VI, which is merely the sketch of a problem, addresses the parallel between evolutionary epistemology and evolutionary ethics. (shrink)

In 1941/42 Konrad Lorenz suggested that Kant''s transcendental categories ofa priori knowledge could be given an empirical interpretation in Darwinian material evolutionary terms:A priori propositional knowledge was an organ subject to natural selection for adaptation to its specific environments. D. Campbell extended the conception, and termed evolution a process of knowledge. The philosophical problem of what knowledge is became a descriptive one of how knowledge developed, the normative semantic questions have been sidestepped, as if the descriptive insights would automatically resolve (...) them. This came at a time when the traditional concept of knowledge as universally true, justified beliefs had been challenged by subjectivist, intercommunicative coherence frameworks. Much of the literature on evolutionary epistemology claimed that knowledge in general, and science as its epitome in particular, evolved along lines analogous to organic biological evolution. I refer here only to the view of knowledge as an extension of material biological evolution. These theories of evolutionary epistemology, contrary to the relativist notions of naturalized epistemology, adopted strict realist positions.Although there is no contention with the claim that biological evolution provided the raw material and the constraints for human knowledge, cognition is not knowledge and knowledge is not constrained by it beyond some trivial truisms. The view that sees evolution as a knowledge/cognition process is coercing a loosely defined term into the status of a phenotypic trait on which selection could act. This disregards the intricate many-to-many relationship between correlates of knowledge and biological capacities. But even if we grant the correlates of knowledge the status of selectable traits, the heritability of alternative phenotypes would be low and unpredictable due to the high, open-ended environmental malleability of such complex characters in the course of development. Such concepts are therefore biologically inconsequential. (shrink)

One of the principal difficulties in assessing Science as aProcess (Hull 1988) is determining the relationship between the various elements of Hull's theory. In particular, it is hard to understand precisely how conceptual selection is related to Hull's account of the social dynamics of science. This essay aims to clarify the relation between these aspects of his theory by examining his discussion of the``demic structure'' of science. I conclude that the social account cando significant explanatory work independently of the selectionistaccount. (...) Further, I maintain that Hull's treatment of the demicstructure of science points us toward an important set of issues insocial epistemology. If my reading of Science as a Process iscorrect, then most of Hull's critics (e.g., those who focus solelyon his account of conceptual selection) have ignored promisingaspects of his theory. (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)

It is argued that fundamental to Piaget''s life works is a biologically based naturalism in which the living world is a nested complex of self-regulating, self-organising (constructing) adaptive systems. A structuralist-rationalist overlay on this core position is distinguished and it is shown how it may be excised without significant loss of content or insight. A new and richer conception of the nature of Piaget''s genetic epistemology emerges, one which enjoys rich interrelationships with evolutionary epistemology. These are explored and it is (...) shown how a regulatory systems evolutionary epistemology may be embedded within genetic epistemology. (shrink)

Roy Sorensen advances an evolutionary explanation of our capacity for thought experiments which doubles as a naturalized epistemological justification. I argue Sorensens explanation fails to satisfy key elements of environmental-selectionist explanations and so fails to carry epistemic force. I then argue that even if Sorensen succeeds in showing the adaptive utility of our capacity, he still fails to establish its reliability and hence epistemic utility. I conclude Sorensens account comes to little more than a just-so story.

What credentials does evolutionary epistemology have as science? A judgement based on past performance, both in terms of advancing an empirical programme and further ng theory construction, is not much. This paper briefly outlines some of the research areas, both theoretical and empirical, that can be developed and that might secure for evolutionary epistemology a future in evolutionary biology.

Kuhn made two attempts at providing an evolutionary analogy for scientific change. The first attempt, in The Structure of Scientific Revolutions , is very brief and unstructured; in this article I discuss some of its weaknesses. Alexander Bird takes this attempt more seriously and provides a criticism based on oversimplified evolutionary assumptions. These assumptions prove to be inadequate for the second, more articulate, evolutionary analogy suggested by Kuhn in “The Road since Structure.” I argue, however, that this second Kuhnian attempt (...) is undermined by his inadequate view of biological progress and by his misunderstanding of the concept of ecological niche. *Received April 2008. †To contact the author, please write to: School of Politics, International Studies, and Philosophy, Queen’s University Belfast, 21 University Square, Belfast, BT7 1PA Northern Ireland; e‐mail: b.g.renzi@qub.ac.uk. (shrink)

Both Popper and van Fraassen have used evolutionary analogies to defend their views on the aim of science, although these are diametrically opposed. By employing Price’s equation in an illustrative capacity, this paper considers which view is better supported. It shows that even if our observations and experimental results are reliable, an evolutionary analogy fails to demonstrate why conjecture and refutation should result in: (1) the isolation of true theories; (2) successive generations of theories of increasing truth-likeness; (3) empirically adequate (...) theories; or (4) successive generations of theories of increasing proximity to empirical adequacy. Furthermore, it illustrates that appeals to induction do not appear to help. It concludes that an evolutionary analogy is only sufficient to defend the notion that the aim of science is to isolate a particular class of false theories, namely those that are empirically inadequate. (shrink)

Popper is well known for rejecting a logic of discovery, but he is only justified in rejecting the same type of logic of discovery that is denied by consequentialism. His own account of hypothesis generation, based on a natural selection analogy, involves an error-eliminative logic of discovery and the differences he admits between biological and conceptual evolution suggest an error-corrective logic of discovery. These types of logics of discovery are based on principles of plausibility that are used in the generation (...) as opposed to the preliminary evaluation of hypotheses. The normative relevance of these principles is grounded in the distinction between strategic and definitory rules. (shrink)

Evolutionary epistemology takes various forms. As a philosophical discipline, it may use analogies by borrowing concepts from evolutionary biology to establish new foundations. This is not a very successful enterprise because the analogies involved are so weak that they hardly have explanatory force. It may also veil itself with the garbs of biology. Proponents of this strategy have only produced irrelevant theories by transforming epistemology's concepts beyond recognition. Sensible theories about knowledge and biology should presuppose that various long-standing problems concerning (...) relations between the mental and the physical are solved. Such problems are wrongly disregarded by evolutionary epistemologists. (shrink)

This paper considers a central objection to evolutionary epistemology. The objection is that biological and epistemic development are not analogous, since while biological variation is blind, epistemic variation is not. The generation of hypotheses, unlike the generation of genotypes, is not random. We argue that this objection is misguided and show how the central analogy of evolutionary epistemology can be preserved. The core of our reply is that much epistemic variation is indeed directed by heuristics, but these heuristics are analogous (...) to biological preadaptations which account for the evolution of complex organs. We also argue that many of these heuristics or epistemic preadaptations are not innate but were themselves generatedby a process of blind variation and selective retention. (shrink)

This paper concerns Jean Piaget's (1896–1980) philosophy of science and, in particular, the picture of scientific development suggested by his theory of genetic epistemology. The aims of the paper are threefold: (1) to examine genetic epistemology as a theory concerning the growth of knowledge both in the individual and in science; (2) to explicate Piaget's view of ‘scientific progress’, which is grounded in his theory of equilibration; and (3) to juxtapose Piaget's notion of progress with Thomas Kuhn's (1922–1996). Issues of (...) scientific continuity, scientific realism and scientific rationality are discussed. It is argued that Piaget's view highlights weaknesses in Kuhn's ‘discontinuous’ picture of scientific change. (shrink)

In 1988, David Hull presented an evolutionary account of science. This was a direct analogy to evolutionary accounts of biological adaptation, and part of a generalized view of Darwinian selection accounts that he based upon the Universal Darwinism of Richard Dawkins. Criticisms of this view were made by, among others, Kim Sterelny, which led to it gaining only limited acceptance. Some of these criticisms are, I will argue, no longer valid in the light of developments in the formal modeling of (...) evolution, in particular that of Sergey Gavrilets’ work on adaptive landscapes. If we can usefully recast the Hullian view of science as being driven by selection in terms of Gavrilets’ and Kaufmann’s view of there being “giant components” of high-fitness networks through any realistic adaptive landscape, we may now find it useful to ask what the adaptive pressures on science are, and to extend the metaphor into a full analogy. This is in effect to reconcile the Fisherianism of the Dawkins–Hull approach to selection and replicators, with a Wrightean drift account of social constructionist views of science, preserving, it is to be hoped, the valuable aspects of both. (shrink)

David Hull's (1988c) model of science as a selection process suffers from a two-fold inability: (a) to ascertain when a lineage of theories has been established; i.e., when theories are descendants of older theories or are novelties, and what counts as a distinct lineage; and (b) to specify what the scientific analogue is of genotype and phenotype. This paper seeks to clarify these issues and to propose an abstract model of theories analogous to particulate genetic structure, in order to reconstruct (...) relationships of descent and identity. (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)

Recently, biologist and philosophers have been much attracted by an evolutionary view of knowledge, so-called evolutionary epistemology. Developing this insight, the present paper argues that our cognitive abilities are the outcome of organic evolution, and that, conversely, evolution itself may be described as a cognition process. Furthermore, it is argued that the key to an adequate evolutionary epistemology lies in a system-theoretical approach to evolution which grows from, but goes beyond, Darwin's theory of natural selection.