Knowledge and Selection: The Two Approaches to Evolutionary Epistemology Wei-Li Jao Ph.D. Candidate in Philosophy Graduate School and University Center City University of New York 1 I. Introduction Evolutionary epistemology aims to enrich our understanding of knowledge by incorporating the perspective of evolutionary theory into the study of epistemology. Among its most eminent advocates in philosophy are Quine and Popper. Quine believes that the reliability of human cognitive system has its root in natural selection. For instance, in relation to the issue of induction, Quine says that Why does our innate subjective spacing of qualities accord so well with the functionally relevant groupings in nature as to make our induction tend to come out right? ... There is some encouragement in Darwin. If people’s innate spacing of qualities is a gene-linked trait, then the spacing that has made for the most successful induction will have tended to predominate through natural selection. Creatures inveterately wrong in their inductions have a pathetic but praiseworthy tendency to die before reproducing their kind. (Quine 1969, 126) And Popper thinks that the development of human knowledge is driven by a cultural transmission process that is analogous to natural selection that governs biological evolution. Popper claims that The growth of our knowledge is the result of a process closely resembling what Darwin called ‘natural selection’ … our knowledge consists, at every moment, of those hypotheses that have shown their (comparative) fitness by surviving so far in their struggle for existence; a competitive struggle which eliminates the hypotheses that are unfit. (Popper 1972, 261) Quine and Popper’s views represent the two approaches to evolutionary epistemology. Theses two approaches attempt to lend support from one of the core theses of evolutionary theory—the theory of natural selection—to either explains the reliability of human cognitive system or the growth of human knowledge. Both approaches have been accused of abusing the theory of natural selection. In particular, the Quinean approach is often being criticized on the basis that it commits the fallacy of adaptationism and the Popperian approach is usually opposed on the ground that no appropriate analogy is available between biological evolution and cultural transmission. It is the goal of the present paper to resolve these objections to evolutionary epistemology. To achieve this goal, the dispositional feature of natural selection will 2 be investigated, the schematic characteristic of the theory of nature selection will be explored, and the relation between evolutionary epistemology and the objectivity of knowledge will be discussed. II. The Quinean Approach and Adaptationism Central to the Quinean approach to evolutionary epistemology is the thesis that human cognition system is a biological adaptation by natural selection for the function of producing truthful mental representation1. What is noteworthy about this thesis is its explicit commitment to adaptationism. Adaptationism is a research program in contemporary evolutionary theory that emphasizes, in one way or another, the role that natural selection plays in biological evolution. This research program has been inciting some of the most intense debates in contemporary evolutionary theory and some versions of adaptationism have been rejected by all parties joining the debates. The critics of evolutionary epistemology often take this fact as implying the bankruptcy of the Quinean approach. Yet it is far from clear that the type of adaptationism to which the Quinean approach subscribes could also be subject to the same arguments against those false versions of adaptationism. A close inspection on the source of the controversies surrounding adaptationism is needed for deciding the truth of the Quinean approach. Contemporary evolutionary theory contains two important theses that were first put together by Darwin in On the Origin of Species in 1859. According to the first thesis, all species are derived from a common ancestor through a series of alteration (descent by modification); and according to the second thesis, this alternation is accomplished by means of natural selection (evolution by natural selection). Darwin believed that the question of speciation—i.e., how do new specie arises from old species?—could be fully explained in terms of these two theses. The current consensus is that Darwin did not succeed in providing a complete account of speciation because he had failed to see that speciation could also be achieved by evolutionary processes other than natural selection. Yet this does not in any way undermine the significance of Darwin’s two theses in contemporary evolutionary theory. People who work in evolutionary biology or related disciplines generally agree that these two theses are indispensable for explaining some of the most striking features in the biological world. For example, it 1 The majority of evolutionary thinkers adopt a historical notion of adaptation, according to which an adaptation is a trait evolved by natural selection. On this notion of adaptation, a trait might be an adaptation without being currently adaptive and vice versa. Gould and Vrba (1982) coin the term “exaptation” for currently adaptive but non-selected traits to distinguish them from adaptations. 3 is unanimously recognized that the diversity of life on earth—the variety of organismic forms—is intelligible only in relation to the series of alteration depicted in the thesis of decent by modification. More importantly, it is also widely acknowledged that at least some part of the design-like feature in nature—the design exhibited by complex biological traits—is comprehensible only with reference to the evolutionary process illustrated in the thesis of evolution by natural selection. The conviction that natural selection is capable of giving rise to design-like complex trait is the fundamental motivation for adaptationism. Evolutionary thinkers have been seeking to clarify the structure of the theory of natural selection. Lewontin (1970), for example, characterizes the theory of natural selection as a schema consisted of the following three principles: principle of variation, heritability, and fitness, which states respectively that natural selection requires there be phenotypic variation among members of a population, that natural selection requires the variation be heritable, and that natural selection requires the variation be correlated with the differential reproduction between members of a population. Lewontin notes that there is a certain generality in this schema, for no particular mechanism of phenotypic variation, inheritance, or reproduction is specified in those principles. The consequence of this generality is that ‘any entities in nature that have variation, reproduction, and heritability may evolve…the principles [of natural selection] can be applied equally to genes, organisms, populations, species, and at opposite ends of the scale, prebiotic molecules and ecosystems’ (Lewontin 1970, 1-2). Natural selection, understood this way, is more a universal mechanism for evolutionary change at all levels of biological hierarchy than something only for organismic evolution as it is often thought. Sober (1993) summarizes Lewontin’s three principles as “heritable variation in fitness” and claims that they are necessary for natural selection. Brandon (1990) points out that the theory of natural selection calls for a stronger version of principle of fitness than the one proposed by Lewontin. As it stands, Lewontin’s principle of fitness allows the correlation between phenotypic variation and differential reproduction be obtained by chance along. To fix this defect, Brandon suggests that the correlation between phenotypic variation and different reproduction stated in the principle of fitness must be the result of interaction between biological entities and their environments, so as to make the reproductive success of biological entities positively associate with the adaptedness of these entities to their environments. Expressing Brandon’s idea in Sober’s terminology, one can say that natural selection is not just any kind of heritable variation in fitness, but the 4 non-random sort of heritable variation in fitness due to environmental interaction. While a formulation of the theory of natural selection similar to the one outlined above is adopted broadly among evolutionary thinkers, there is no general consensus as to the place that the theory of natural selection occupies in contemporary evolutionary theory. In particular, evolutionary thinkers maintain a wide spectrum of attitudes toward the issue of how many and what design-like traits in nature should be accounted for in terms of natural selection. This disagreement has to do with the observation that natural selection is but one of many processes capable of giving rise to evolutionary changes. According to contemporary evolutionary theory, biological evolution is driven by a variety of processes, which can be suitably divided into two groups: selection processes such as natural selection and non-selection processes such as genetic drift2. Natural selection and genetic drift are not mutually exclusive, as both can and often operate side by side in the same evolutionary episode of a population. Both natural selection and genetic drift are believed to be able to give rise to design-like traits. Natural selection is thus not the only process responsible for this prevalent biological phenomenon and therefore might not be the only factor figured in its explanation. Nonetheless, natural selection and genetic drift differ from one another sharply on the sorts of evolutionary changes they are capable of bringing about. Evolutionary biologists and population geneticists often define genetic drift as the random fluctuation in the gene frequency in a population due to sampling error3. Understood this way, genetic drift is essentially a random process which leads to nothing but haphazard events in biological evolution. Natural selection, on the other hand, is disposed to facilitate the fit between organisms and their environments in such a way as to enhance the likelihood of emergence of design-like traits. To be sure, genetic drift might also be able to produce such fit and yield designed-like traits in some cases, but owing to its lacking of the corresponding disposition it could achieve this only in a fortuitous way. In other words, both natural selection and random drift are capable of giving rise to the fit between organisms and environments necessary for the existence of design-like traits, but their capabilities in generating such fit are of two distinct types: the ability of natural selection is a dispositional one which works toward increasing such fit, whereas the ability of random drift is a non-dispositional 2 Sexual selection and mutation are also known to be able to produce evolutionary change. The former is normally categorized as a selection process and the latter a non-selection process. Much of the contrast between natural selection and genetic drift discussed in this paper also applies to selection and non-selection processes in general, including sexual selection and mutation. It will be noted when this is not the case. 3 See Hartl and Clark (1989) and Futuyma (1998) for similar definitions of genetic drift. 5 and random one which works toward no definitive direction. Natural selection implements this disposition by preserving traits of higher adaptive value and eliminating traits of lower adaptive value in a population. A trait x is more adaptive than another trait y in a population living in a common environment if x is fitter than y in the population, for being able to better assist its possessors cope with issues of survival and reproduction than y to its possessors in the population, in terms of the average reproduction success rates (or ‘fitness’ in short) of x and y possessors in the population. Thus, for a population of organisms, organisms with traits of higher adaptive value are inclined to leave more offspring than those with traits of lower adaptive value. When the traits in question are heritable, the proportions of organisms with traits of higher adaptive value and organisms with traits of lower adaptive value in the population would tend to increase and decrease respectively over generations; consequently, the relative frequencies of traits of higher adaptive value and traits of lower adaptive value would fluctuate in a corresponding manner. Provided that no population could grow indefinitely, organisms with traits of lower adaptive value in the population would then tend to be gradually replaced by organisms with traits of higher adaptive value in the same population. Following such systematic replacement of less adaptive organisms with more adaptive organisms is the steady increasing in the fit between the average member of the population and its environment would be steadily enhanced, which would in turn lead to increasingly complex traits that exhibit design-like features, given that evermore adaptive traits keep arising and natural selection never ceases to operate in the population, ceteris paribus. That natural selection is disposed to facilitate the fit between organisms and environments in a manner resulting in progressively complex design-like traits leads adaptationists to stress the importance of natural selection in biological evolution. Natural selection occupies a unique place in the evolution of design-like traits because these traits are often too complex to be evolved by random evolutionary processes such as genetic drift. A complex design-like trait is usually consisted of a number of components which are no less complicated in themselves than the trait they compose; and these components are often in turn made of a number of sub-components and so on and on. For such a trait to come into existence and maintain its operation as a cohesive whole, all of its components and sub-components must enter into a massive causal network in which these components interact with one another. It appears very unlikely that each of every single component of such a trait would fall right in its proper place in such a causal network purely by chance in the evolution of the trait. A 6 non-random evolutionary process with a certain disposition such as natural selection is thereby essential to the explanation of the evolution of complex design-like traits. The Quinean approach to evolutionary epistemology hinges on the adaptationist idea that human cognitive system is a biological adaptation evolved by natural selection for the function of producing truthful mental representation. Given the reliability and complexity of human cognitive system, it is quite implausible that human cognitive system could have evolved by means other than natural selection. It appears that truthful mental representations tend to make organisms be better at monitoring, coordinating with, and thus adapting to their environments, whereas untruthful mental representations tend to have just the reversed effects. Truth and adaptiveness are hence connected in such a way so as to render the reliability of human cognitive system under the examination of natural selection. One popular line of objection to the Quinean approach to evolutionary epistemology, exemplified in Stich (1990), is to argue for the possibility that human cognitive system might have been brought about by means other than natural selection. According to Stich’s analysis, the argument implicit in the Quine approach involves the following pair of premises: (a) that “evolution produces organism with good approximation to optimally well-designed characteristics and systems”, (b) that “an optimally well-designed cognitive system is a rational cognitive system” (Stich 1990, 56), where an optimally well-designed system is a system that “enhances biological fitness more than any alternative” (Stich 1990, 57) and a rational cognitive system is a reliable cognitive system that “generally produces true beliefs” (Stich 1990, 58). Stich notes that each of these two premises has a certain prima facie plausibility, but he doubts that any of them can pass further scrutiny. With respect to the first premise, Stich argues that it is undercut by the following four considerations: (1) Natural selection is only one of the various processes for evolution change. Other evolutionary processes such as genetic drift might lead to the elimination of the fittest traits and the fixation of the less fit traits. (2) Natural selection is constrained by the phenotypic variation available in a population. The fittest traits might have never had the opportunity to appear in 7 the population to be selected by natural selection. (3) Natural selection is constrained by the structure of a population as well. Some population structures might prevent the fittest trait to be selected by natural selection. (4) Non-biological factors such as cultural factors might also play an important role in the evolution of human cognitive system such that human cognitive system might not be optimal even though natural selection is an inveterate optimizer4. And with regard to the second premise, Stich contends that it is mistaken for the following two rationales: (1) A reliable cognitive system might be less fitness-enhancing than a less reliable one because the former might be more costly and less efficient than the latter. (2) A reliable cognitive system might be less fitness-enhancing than a less reliable one because true beliefs might not be more fitness-enhancing than false beliefs. The Quinean approach to evolutionary epistemology stands firm in the face of Stich’s arguments, for the adaptationism to which the Quinean approach commits does not assert that natural selection guarantees or insures the emergence and maintenance of reliable human cognitive system. What is asserted is a somewhat weaker thesis that natural selection is the most plausible processes that could have brought about human cognitive system given the degree of reliability and complexity of human cognitive system. Granted that natural selection is constantly restrained by other aspects of biological evolution for its operation and effect, it is still more reasonable to expect that human cognitive system was evolved by natural selection, considering its sophisticated design-like features. Stich’s arguments against the Quinean approach are mistaken because they are not sensitive to the dispositional nature of the selection explanation embedded in the Quinean argument; it is certainly possible that human cognitive system was evolved by means other than natural selection, yet nothing is more probable than natural selection to have brought about such a reliable cognitive system. If one were to construe the Quinean approach in Stich’s terminology, the more plausible premises for this approach out to be the ones expressed in the following two statements: (a') It is more probable for organisms with good approximation to optimally well-designed characteristics and systems to be evolved by natural selection than 4 The influence of culture on the evolution of human cognitive system will be considered in the last section of this paper. 8 by any other means. (b') It is more probable for an optimally well-designed cognitive system to be a rational cognitive system than a non-rational one. Another line of objection to the Quinean approach to evolutionary epistemology, represented by Plantinga (1993), is to argue for the improbability that natural selection could have given rise to human cognitive system. Plantinga claims that on the assumptions that (R) human cognitive system is reliable, that (C) human beings have the cognitive faculties that they have, that (E) these faculties have been produced by evolution, and that the probability of R given N&E&C—P(R/(N&E&C))—is fairly low, where N is naturalism, one could construe “a straightforward probabilistic argument against naturalism—and for traditional theism” (Plantinga 1993, 228), which would in turn undermine contemporary evolutionary theory along with all other theories based on naturalism. Plantinga builds his case on Bayes’ Theorem, according to which P(( N & E & C ) / R ) P( N & E & C ) P( R /( N & E & C )) P( R ) where P(N&E&C) is the unconditional probability for N&E&C estimated independent of R. By supposition P(R) is near 1 and P(R/(N&E&C)) is no more than 1/2. Then P((N&E&C)/R) will be no greater than 1/2 times P(N&E&C), and will thereby be fairly low. Since by supposition both P(C) and P(E) are also near 1, so P(N/R) will be fairly low too. But P(R) is near 1, R will therefore be the evidence against N. In other words, the belief that “[human] cognitive faculties are reliable gives a reason for rejecting naturalism and accepting its denial” (Plantinga 1993, 228). Based on this Bayesian argument, Plantinga argues further that N&E—the conjunction of naturalism and evolutionary theory—is self-defeating for it “provides for itself an undefeated defeater” (Plantinga 1993, 235). Indispensable to Plantinga’ Bayesian argument is the assumption that P(R/(N&E&C)) is pretty low. In motivating this claim, Plantinga argues that unreliable cognitive system might have evolved by natural selection for the following reasons: (1) Beliefs might not be causally efficacious, causally efficacious in virtue of their content, or causally connected with behaviors, such that the reliability/unreliability of cognitive system might not have any effect on the fitness of organisms. 9 (2) The genetic codes code for unreliable cognitive system might also code from some fitness-enhancing traits, such that the harmful effects of unreliable cognitive system might be outweighed by the benefiting effects of these fitness-enhancing traits. (3) The desire system might compensate unreliable cognitive system, such that pairs of false-belief/offsetting-desire might be adaptive. (4) The part of cognitive system responsible for producing theories about matters irrelevant to survival and reproduction of organisms might not be adaptive5. Plantinga claims that the possibilities stated above are mutually exclusive and jointly exhaustive. If this is so, then the probability of R, of human cognitive system’s being reliable, would equal to the weighted average of the probabilities for R on each of these possibilities. Since the probability for R on each of the three possibilities stated in (1) is no more than 1/2, it is reasonable to expect that the probability of R would be relatively low, somewhat less than 1/2. Therefore, P(R/(N&E&C)) would be lower than its denial too, Plantinga concludes. Plantinga’s argument for the low probability of R on N&E&C falls apart when one reflects on the probability that human cognitive system, being as reliable and complex as it is, might have come into existence by means other than natural selection. It appears quite implausible that human cognitive system could have evolved by non-selection evolutionary processes, considering the randomness of these processes. Instead, it might be the case that human cognitive system is the creation of God, as Plantinga would like to argue. However, there is no independent evidence for believing this possibility. An argument of Plantinga’s sort is not capable of providing such evidence, for such an argument presupposes that P(R/(N&E&C)) is fairly low to prove the truth of theism. It would then be circular if one appeals to the possibility of human cognitive system’s being created by a deity to show that P(R/(N&E&C)) is fairly low, because that P(R/(N&E&C)) is fairly low is but one prerequisite for Plantinga’s Bayesian argument for theism. The probability that human cognitive system have come into existence for reasons other than natural selection is thereby relatively small. Both Stich and Plantinga attempt to dismiss the Quinean approach to evolutionary epistemology by cutting short the conceptual tie between truth and adaptiveness. But their strategy is ineffective, as the Quinean argument for the reliability of human cognitive system makes no use of such a conceptual relation. The conceptual gap 5 This question will be considered in the last section of this paper. 10 between truth and adaptiveness—that truth does not guarantee adaptiveness and that adaptiveness does not require truth—is not something objectionable from the perspective of the Quinean approach, for it too recognizes the fact that there is nothing necessary about natural selection. However, that truth and adaptiveness are not bound up together in an a priori manner does not imply that neither could they be connected in an a posteriori fashion. Truth and adaptiveness might be associated together by natural selection, non-selection evolutionary processes, or even a deity. What the Quinean approach shows is that, given the reliability and complexity of human cognitive system, natural selection is the most plausible means by which human cognitive system could have been brought about into existence. In other words, the Quinean approach demonstrates that the reliability of human cognitive system could be best explained in terms of the disposition of natural selection. To refute the Quinean approach, the critics of evolutionary epistemology must come up with an explanation for the reliability of human cognitive system that does a better job than the one that the Quinean approach devises based on the theory of natural selection. Before such an explanation is found, the Quinean approach to evolutionary epistemology remains sound and viable. III. The Popperian Approach and the Doctrine of Cultural Transmission Essential to the Popperian approach to evolutionary epistemology is the doctrine of cultural transmission which states that conceptual change in cultural evolution can be modeled in terms of the theory of natural selection. The advocates of the Popperian approach believe that such a doctrine can be drawn from the schematic nature of the theory of natural selection. It appears that the constituent principles of the theory of natural selection can all be defined in a topic-neutral way without specifying their subject matter. Many evolutionary thinkers have taken notice of the topic-neutrality of these principles and set out to build on them a general account of selection. Their endeavor has occupied a vital role not only in explicating the theory of natural selection but also in vindicating the natural/cultural analogy required for the Popperian approach to evolutionary epistemology. As mentioned, Lewontin construes the theory of natural selection as a schema consisted of the principles of variation, heritability, and fitness, which can be applied to account for cases of selection across different levels of biological hierarchy. Like Lewontin, Dawkins also notices the generality in the explanatory pattern of the theory of natural selection. However, Dawkins is even more ambitious in exploring the implication of the topic-neutrality of the principles of which the theory of natural 11 selection is constituted. Being one of the most eloquent proponents of gene selectionism, Dawkins has long been known for his claim that gene is the unit of selection. For Dawkins, a unit of selection must be an entity capable of replicating itself with certain accuracy in evolutionary processes. Dawkins coins the term “replicator” for this sort of entities, in contrast to “vehicle” that “houses a collection of replicators and which works as a unit for the preservation and propagation of those replicators” (Dawkins 1982, 114). He argues that nothing else in the biological world on earth but genes are capable of making copies of themselves; organisms, populations, species, higher taxa and ecosystems do not copy themselves as genes do. Genes are therefore special because they are replicators which propagate for their own sake, whereas organisms and other biological entities are merely the vehicles that genes build and ride in, according to Dawkins. On this view of biological evolution, even we are created by our genes and “their preservation is the ultimate rational for our existence” (Dawkins 1976, 20). Dawkins formulates the replicator/vehicle distinction not only to explicate the gene selectionism initially outlined by G. C. Williams (1966), but also to motivate the universal Darwinism that he develops from it. Dawkins takes genes to be the only sort of replicators that participate in the biological evolution on this planet, but he maintains that this needs not be the case for biological evolution in general. This is because, on Dawkins’ replicator notion, anything could be a replicator insofar as it is able to make faithful copies of itself, regardless of what it is physically made of. If there were other life forms in other parts of the universe, then the replicators involved in the evolution of these life forms might not be genes as we know them. But we do not need to travel far to seek non-gene replicators, as a relatively new sort of replicators can be readily found in the cultural transmissions that have been occurring on earth for the past few million years. These replicators are cultural entities which spread themselves from brain to brain by means of imitation, in a manner similar to genes’ propagating themselves from body to body by means of genetics. Examples of these cultural replicators include “tunes, ideas, catch-phrases, clothes fashions, ways of making pots or of building arches” (Dawkins 1976, 192). Dawkins coins the term “meme” for this kind of replicators, of which Dawkins professes that it “seems to be turning out to be a good meme” itself (Dawkins 1976, 322). Given that memes are genuine replicators, Dawkins concludes that cultural transmission can be suitably understood as a process governed by cultural selection analogous to natural selection that regulates biological evolution. Dawkins’ meme concept has been further developed by Dennett (1995) and Blackmore (1999), who are to a great extent 12 responsible for the rising of a new discipline in the study of culture called “memetics”. The meme concept adopted by the majority of memeticists does not fit well with need of the Popperian approach to evolutionary epistemology. For the most of time, memeticists bases the meme concept on Dawkins’ gene’s eye view of biological evolution, which takes genes to be the selfish replicators that propagate for their own shake with no regard to the welfare of their vehicles. Memes, as genuine replicators, are said to have the same superior authority to their vehicles as genes to theirs, such that memes too will get themselves copied whenever they can even at the cost of their subordinates. Dennett describes this feature of memes as “the first rule of memes” (Dennett 1995, 362) and Blackmore calls this view of cultural evolution “the meme’s eye view” (Blackmore 1999, 8). One implication of the meme’s eye view is that memes do not need to be true to get themselves copied; a false but provocative belief could spread more easily and widely than a true yet dull one. The Popperian approach will then not be able to address issues concerning the advancement of knowledge if the meme’s eye view is the only doctrine of cultural transmission available to it. Dawkins’ the other two concepts—replicator and vehicle—have also attracted a great deal of criticisms for their close association with the gene’s eye view of biological evolution. For instance, the replicator concept is often being criticized on the basis that nothing, including genes, is capable of making copy of itself in a literal sense 6, and the vehicle concept is undermined by its provoking connotation that vehicles such as organisms are nothing but “lumbering robots” programmed and controlled by replicators for their selfish propagation. One way that the advocates of the Popperian approach can get around these criticisms is to detach the doctrine of cultural transmission from gene selectionism. This is exactly what Hull sets out to do. Like Lewontin and Dawkins, Hull is also impressed by the schematic nature of the theory of natural selection. He proposes to capture the generality in the explanatory pattern of the theory of natural selection by revising Dawkins’ replicator concept and replacing Dawkins’ vehicle concept with his own interactor concept. According to Hull, a replicator is “an entity that passes on its structure largely intact in successive replications” and an interactor is “an entity that interacts as a cohesive whole with its environment in such a way that this interaction Lewontin, for instance, claims that genes “cannot make themselves any more than they can make a protein. Genes are made by a complex machinery of proteins that uses the genes as model for more genes. When we refer to genes as self-replicating, we endow them with a mysterious, autonomous power that seems to place them above the ordinary materials of the body” (Lewontin 1991, 48). 6 13 causes replication to be differential” (Hull 1988, 408). Selection therefore can be defined as “a process in which the differential extinction and proliferation of interactors cause the differential perpetuation of the relevant replicators” (Hull 1988, 409). According to Hull, candidates for replicators range from genes, genomes, organisms to perhaps gene pools, and interactors can be found at an even wider span of biological hierarchy, from genes, cells, organs, organisms, colonies to possibly entire species (Hull 1988, 428). An important implication of replication and interaction occurring at a variety of levels of biological hierarchy is that the level at which natural selection occurs also wanders from level to level. The resulting account of selection is thus a fairly liberal one, which covers not only cases of natural selection at multiple levels of biological organization, but also cases of somatic selection in immune system, operant selection in behavior (Hull et al. 2001), and most importantly, conceptual selection in culture in general and in science in particular (Hull 1988). Hull describes conceptual replication in general as “a matter of ideas giving rise to ideas via physical vehicles, some of which also functions as interactors” and the conceptual selection in science as a special case of conceptual replication in which “replicators are generated, recombined, tested by scientists interacting with the relevant portion of the natural world” (Hull 1988, 436). For Hull, the replicators in scientific change are elements of the substantive content of science, such as “beliefs about the goals of science, proper ways to go about realizing these goals, problems and their possible solutions, modes of representation, accumulated data, and so on” (Hull 1988, 434). Scientists are the primary interactors in this replication, because they are “the ones who notice problems, think up possible solutions, and attempt to test them” (Hull 1988, 434). However, Hull emphasizes that for the most of time scientists do not play the role of interactor as isolated researchers but as members of scientific communities. The significance of modern scientific communities in the conceptual selection in science is manifested in the ways that they influence the behaviors of individual scientists. Modern scientific communities are structured in such a way so as to require scientists cooperate with their conceptual kin in promoting their collective goal—i.e., propagating their shared beliefs. Moreover, modern scientific communities are so organized that the personal career interests of individual scientists are coincided often enough with the academic interest of scientific communities—that is, the pursuit of knowledge. The image of science arisen from Hull’s theory of conceptual selection is thus one in which individual scientists work toward increasing their cultural inclusive fitness by confronting the natural world in accordance with the epistemic norms set up by the scientific communities of which 14 these scientists are the essential constituents. The Popperian approach to evolutionary epistemology depends on the natural/cultural selection analogy to model the growth of knowledge. Hull’s liberal account of selection appears to be able to supply such an analogy. However, the critics of evolutionary epistemology might still not be satisfied, for supposedly there is a good deal of dissimilarity between biological evolution and cultural transmission that is left out by the natural/cultural selection analogy. Hull, as well as Dawkins and other memeticists, often try to set aside this type of criticism by either insisting on the aptness of the analogy or explaining away the disanalogy. For instance, the critics of evolutionary epistemology has pointed out that science, at least in some limited areas, is progressive, while the progressive character of biological evolution is not nearly so clear. In responding to this challenge, Hull argues that evolution by natural selection is no less locally progressive than science, in that whenever natural selection occurs it tends to increase particular population’ adaptability to particular environments, just like science exhibits local improvements in particular episodes of its development. However, Hull admits that biological evolution and scientific change are not entirely alike in terms of progress, as he acknowledges that the advancement that science has been making is more a global one than merely a local one whereas no similar sort of progress can be found in biological evolution. But for Hull this difference is not a serious threat that would overshadow the natural/cultural selection analogy. In Hull’s opinion, that science is globally progressive is largely due to the fact that there are eternal and immutable regularities out there in nature. The corresponding sort of regularities is however absent from the biological world, because the environments to which organisms must adapt never stop changing. Any progressive trend brought about by natural selection toward higher adaptability in particular lineages could thus be reversed anytime and the global pattern of biological evolution therefore keeps fluctuating without displaying consistent progressive or regressive trajectory (Hull 1988, 476). Yet, it does not seem that the resistance to the natural/cultural selection analogy could be entirely neutralized this way. The usefulness of analogy comes with a costly price. It appears that for any analogy there are countless corresponding dis-analogies that could be readily found. Consequently, no argument based on analogy could completely shun its criticisms rested on the relevant dis-analogies. The critics of the Popperian approach could hence concede that biological evolution and conceptual transmission are indeed similar in some ways without losing much of their ground. In the absence of something better than analogy to expound the similarity between 15 biological evolution and cultural transmission, it is always open to the critics to dismiss this parallel as something illusory. A better way to defend the natural/cultural selection analogy is to look for the underlying reason or mechanism that leads to this analogy. Perhaps that biological evolution and cultural transmission appears strikingly akin to each other is not just because they are driven by natural/cultural selection processes that are similar in an analogical sense, but because these selection processes are instances of an abstract explanatory schema that governs all possible cases of selection. On this view of the natural/cultural selection analogy, cultural selection is not an analogue of natural selection, as both natural selection and cultural selection are the implementations of the same explanatory schema of selection. Furthermore, since the realization of this selection schema in different cases of selection might depend on different sets of background conditions—e.g., conditions concerning the physical substrates of the entities in theses cases of selection—it is reasonable to expect there be some discrepancies between the realized selection processes. For the Popperian approach to evolutionary epistemology, the benefit of endorsing such a general explanatory schema of selection is therefore twofold: the analogical nature of the natural/cultural selection can be explained in terms of a deeper source and the dissimilarities between biological evolution and cultural transmission that the natural/cultural selection leaves out can also be accounted for by the very same source7. IV. Evolutionary Epistemology and the Objectivity of Knowledge In responding to logical empiricists’ somewhat idealistic picture of science, Kuhn (1962) argues that decisions between theories in scientific paradigm shifts are not more rational than decisions between ideologies in political revolutions because of the influence of social factors. Kuhn’s claim is often interpreted as denying the possibility of objective knowledge. This interpretation presupposes that social factors by their very nature are destructive to the most important means for acquiring knowledge—science. Nevertheless, assumptions like this do not seem very appealing. First of all, it is not clear to what extend social factors might jeopardize the epistemic activities in science. Furthermore, some social factors might be such that not only do 7 To be sure, Hull sometimes mentions the similar point with regard to the nature of the natural/cultural selection analogy, but only in passing and often without forgetting returning to the analogical characteristic of that analogy. This seems to be an unnecessary mix-up of the two views of cultural selection—the view of cultural selection as a realization of an abstract explanatory schema and that of cultural selection as an analogue of natural selection. Occasionally, other proponents of memetics also speak of meme not as an analogue of gene but as a genuine instance of replicator. Nonetheless, this important point is frequently obscured by their taking gene as the unique model for replicator. 16 they not endanger the ideals of science but also assist the realization of the goals of science. An important aspect of modern scientific communities disclosed by Hull’s account of conceptual selection is that modern scientific communities are usually organized in such a way as to make sure that those who contribute to the advancement of human knowledge would be properly rewarded and those who undermine the ideals of science would be suitably penalized. This aspect of science is as non-rational as other social factors in science, yet supposedly it is hardly injurious to science. Moreover, the yearning for being acclaimed and the passion for truth are all factors that play an important role in promoting the progress of human knowledge, but they are entirely non-rational and even sometimes irrational. Thus, granted that the epistemic activities in science are very much under the influence of a variety of social factors, it remains as an open question as to how the objectivity of knowledge might be affected by these so called ‘external’ factors of science. One aspect of human knowledge that evolutionary epistemology seeks to explain is the reliability of human cognitive system. Emerged from decades of empirical researches in cognitive science is a picture of cognition in which human cognitive system is generally reliable when operating in its normal environments. What is also revealed is the unreliability of human cognitive system in artificial or extreme circumstances. Many people think of the latter finding as something that could deprive much of the explanatory value of evolutionary epistemology. Surely human cognitive system is not infallible, but it is curious as to why this would reduce the explanatory weight of any evolutionary approach to epistemology. Doesn’t the fact that we are able to find out that we are prone to certain sorts of cognitive errors in certain types of cognitive situations just demonstrate how reliable human cognitive system could be when it is supplemented with scientific method? And isn’t it reasonable to suppose that scientific method is in turn grounded in the general reliability of human cognitive system? These are all questions that could be further explored by evolutionary epistemology. The Quinean and Popperian approaches to evolutionary epistemology find their inspiration from Darwinism, through which the philosophical concerns about human knowledge are able to reach out to a variety of well-developed traditional evolutionary disciplines—e.g., anthropology, evolutionary biology, ethology, and primatology, etc.—and a cluster of rapidly blooming new evolutionary studies—e.g., sociobiology, memetics, and evolutionary psychology, etc. These fields of evolutionary paradigm have provided many invaluable insights on some of the most perplexing philosophical questions—e.g., “How do we know?”, “Why should we be moral?”, “What is our place in nature?”, “Who are we?”, and so forth. Philosophers 17 could avail themselves a great deal by reflecting on the acute observations and inventive hypotheses made by the scientists working in evolutionary tradition. In return, scientists of relevant disciplines would also be grandly benefited by the keen senses and critical skills of philosophers. A deeper understanding on the nature of human knowledge could be expected to be arisen from such a collaborative endeavor between philosophers and scientists. 18 References Blackmore, S. 1999. The Meme Machine. Oxford: Oxford University Press. Brandon, R. N. 1990. Adaptation and Environment. Princeton: Princeton University Press. Dawkins, R. 1976. The Selfish Gene. 2nd ed. Oxford: Oxford University Press. Dawkins, R. 1982. The Extended Phenotype. Oxford: Oxford University Press. Dennett, D. C. 1995. Darwin’s Dangerous Idea: Evolution and the Meanings of Life. New York: Simon and Schuster. Gould, S. J. 1977. Caring Groups and Selfish Genes. Natural History 86: 20-24. Gould, S. 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