. The question of whether science may usefully be viewed as a market process has recently been addressed by Mäki, who concludes that “either free-market economics is self-defeating, or else there must be two different concepts of free market, one for the ordinary economy, the other for science.” Here I argue that such pessimism is unwarranted.Mäki proposes that the conduct of economic research itself be taken, self-reflexively, as a test case for any suggested economics of science. While agreeing that we (...) may expect economics to apply to the conduct of economic research itself, I demonstrate that there is a lack of cogency, both in Mäki's argument for his proposal and in his attempt to implement a reflexivity test.Mäki asks what would be exchanged in the scientific “market for ideas”. The answer is that recognition is exchanged for the opportunity to use another's research results. The identification of an organized and pervasive system of exchange establishes a firm basis for analyzing science as a market process. (shrink)

Theories of scientific rationality typically pertain to belief. In this paper, the author argues that we should expand our focus to include motivations as well as belief. An economic model is used to evaluate whether science is best served by scientists motivated only by truth, only by credit, or by both truth and credit. In many, but not all, situations, scientists motivated by both truth and credit should be judged as the most rational scientists.

Co-authorship of papers is very common in most areas of science, and it has increased as the complexity of research has strengthened the need for scientific collaboration. But the fact that papers have more than an author tends to complicate the attribution of merit to individual scientists. I argue that collaboration does not necessarily entail co-authorship, but that in many cases the latter is an option that individual authors might not choose, at least in principle: each author might publish in (...) a separate way her own contribution to the collaborative project in which she has taken part, or papers could explicitly state what the contribution of each individual author has been. I ask, hence, why it is that scientists prefer to ‘pool’ their contributions instead of keeping them separate, if what they pursue in their professional careers (besides epistemic goals) is individual recognition. My answer is based on the view of the scientific paper as a piece of argumentation, following an inferentialist approach to scientific knowledge. A few empirical predictions from the model presented here are suggested in the conclusions. (shrink)

In this paper I examine the role of thought experiments in the social studies of science. More specifically, I will focus on two strands of social studies of science: the so-called sociology of scientific knowledge and the naturalistically oriented philosophy of science with interest in social dimensions of science. I begin by discussing David Hull's views on thought experiments in the study of science. His account serves as a foil that helps me to make some points about thought experiments. As (...) an illustration I discuss two example of thought experimenting in the social studies of science. The first example is the use of thought experiments by the sociologists of scientific knowledge, and the second case will be the recent work by Philip Kitcher on division of cognitive labour. With the help of these cases, I argue that Hull's negative attitude towards the use of thought experiments requires some, tempering. The notion of thought experiment will be understood broadly in this paper. One could also talk about imaginary or hypothetical examples. In social sciences the contrast for thought experiments is not an experiment, but an empirical case study. Accordingly, thought experiment in social science in an imaginary case study or a made up historical scenario. The focus of my discussion is on the various functions and argumentative roles thought experiments have or could have in social studies of science. An empirical experiment (or a case study) is not an argument by itself, nor is a thought experiment. However, they both are used in making arguments and my aim is to look how they are used. (shrink)

This paper provides a conceptual analysis of the notion of interests as it is used in the social studies of science. After describing the theoretical background behind the Strong Program's adoption of the concept of interest, the paper outlines a reconstruction of the everyday notion of interest and argues that this same notion is used also by the sociologists of scientific knowledge. However, there are a couple of important differences between the everyday use of this notion and the way in (...) which it used by the sociologists. The sociologists do not use the term in evaluative context and they do not regard interests as purely non-epistemic factors. Finally, it is argued that most of the usual critiques of interest explanations, by both philosophers and fellow sociologists, are misguided. (shrink)

The influence that philosophy of science has had on scientific practice is as controversial as it is undeniable, especially in the case of biology. The dynamic between philosophy and biology as disciplines has developed along two different lines that can be characterized as 'paternal', on the one hand, and more 'fraternal', on the other. The role Popperian principles of demarcation and falsifiability have played in both the systematics community as well as the ongoing evolution-creation debates illustrate these contrasting forms of (...) interdisciplinary engagement, underscoring the influence philosophy of science in shaping our contemporary understanding of biology in the North American context. However, a strict disciplinary distinction between philosophy and science may itself be a false dichotomy that risks hampering future development of the biological sciences. By actively engaging with philosophical considerations as an integral part of their scientific practice, nineteenth-century biologists offer an interesting counterpoint to current trends of overspecialization and provide a model of scientists who avoided extremes of antagonism with, or subservience to, philosophy. (shrink)

Recent accounts of “the biological” emphasize its thoroughgoing transformation. Accounts of biomedicalization, biotechnology, biopower, biocapital, and bioeconomy tend to agree that twentieth- and twenty-first-century life sciences transform the object of biology, the biological. Amidst so much transformation, we explore attempts to stabilize the biological through standards. We ask: how do standards handle the biological in transformation? Based on ethnographic research, the article discusses three contemporary postgenomic standards that classify, construct, or identify biological forms: the Barcoding of Life Initiative, the BioBricks (...) Assembly Standard, and the Proteomics Standards Initiative. We rely on recent critical analyses of standardization to suggest that any attempt to attribute a fixed property to the biological actually multiplies dependencies between values, materials, and human and nonhuman agents. We highlight ways in which these biological standards cross-validate life forms with forms of life such as publics, infrastructures, and forms of disciplinary compromise. Attempts to standardize the biological, we suggest, offer a good way to see how a life form is always also a form of life. (shrink)

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)

n this paper, I examine the charge that Gopnik and Meltzoff’s ‘Child as Scientist’ program, outlined and defended in their 1997 book Words, Thoughts and Theories is vitiated by a form of ‘cognitive individualism’ about science. Although this charge has often been leveled at Gopnik and Meltzoff’s work, it has rarely been developed in any detail. -/- I suggest that we should distinguish between two forms of cognitive individualism which I refer to as ‘ontic’ and ‘epistemic’ cognitive individualism (OCI and (...) ECI respectively). I then argue - contra Ronald Giere – that Gopnik and Meltzoff’s commitment to OCI is relatively unproblematic, since it is an easily detachable part of their view. By contrast, and despite their explicit discussion of the issue, their commitment to ECI is much more problematic. (shrink)

I compare the epistemic culture of Wikipedia with the epistemic culture of science, with special attention to the culture of collaborative research in science. The two cultures differ markedly with respect to (1) the knowledge produced, (2) who produces the knowledge, and (3) the processes by which knowledge is produced. Wikipedia has created a community of inquirers that are governed by norms very different from those that govern scientists. Those who contribute to Wikipedia do not ground their claims on their (...) reputations as knowers, for they stand to lose nothing if and when their contributions are found to be misleading or false. And the immediacy of the medium encourages gossip and jokes. Hence, though we have some reason to believe that an invisible hand aids scientists in realizing their epistemic goals, we cannot ground our confidence in what is reported on Wikipedia on the fact that an invisible hand ensures quality. Nor is the information on Wikipedia aptly justified in a manner similar to the way testimony can be justified. (shrink)

I examine the epistemic import of collaborative research in science. I develop and defend a functional explanation for its growing importance. Collaborative research is becoming more popular in the natural sciences, and to a lesser degree in the social sciences, because contemporary research in these fields frequently requires access to abundant resources, for which there is great competition. Scientists involved in collaborative research have been very successful in accessing these resources, which has in turn enabled them to realize the epistemic (...) goals of science more effectively than other scientists, thus creating a research environment in which collaboration is now the norm. (shrink)

Van Fraassen believes our current best theories enable us to make accurate predictions because they have been subjected to a selection process similar to natural selection. His explanation for the predictive success of our best theories has been subjected to extensive criticism from realists. I aim to clarify the nature of van Fraassen’s selectionist explanation for the success of science. Contrary to what the critics claim, the selectionist can explain why it is that we have successful theories, as well as (...) why it is reasonable to expect past successful theories to be successful in the future. I also argue that the plausibility of the realists’ explanation rests on an inaccurate understanding of the nature of predictive success . The predictive success of our best theories is a relative success. (shrink)

I challenge Hacking's characterization of Kuhn's constructionism. I argue that Kuhn does not believe that nature has no joints. Rather, Kuhn believes there is no unique correct way to cut nature into kinds. I also argue that Kuhn is not an externalist. He believes that disputes in science are resolved on the basis of a consideration of the epistemic merits of the theories. Subjective factors merely ensure that competing theories are developed, and the strengths and weaknesses of the theories are (...) exposed. Epistemic considerations are what ultimately lead to consensus in a research community. (shrink)

This is a book review of Eric Scerri's book, A Tale of Seven Scientists.

The current widespread belief that taxonomic methods used before Darwin were essentialist is ill-founded. The essentialist method developed by followers of Plato and Aristotle required definitions to state properties that are always present. Polythetic groups do not obey that requirement, whatever may have been the ontological beliefs of the taxonomist recognizing such groups. Two distinct methods of forming higher taxa, by chaining and by examplar, were widely used in the period between Linnaeus and Darwin, and both generated polythetic groups. Philosopher (...) William Whewell congratulated pre-Darwinian taxonomists for not adhering to the rigid ideal of definition used in the mathematical sciences. What he called the method of types is here called the method of exemplars because typology has been equated with essentialism, whereas the use of a type species as the reference point or prototype for a higher category was a practice inconsistent with essentialism. The story that the essentialism of philosophers dominated the development of systematics may prove to be a myth. (shrink)

The dangers of character reification for cladistic inference are explored. The identification and analysis of characters always involves theory-laden abstraction—there is no theory-free “view from nowhere.” Given theory-ladenness, and given a real world with actual objects and processes, how can we separate robustly real biological characters from uncritically reified characters? One way to avoid reification is through the employment of objectivity criteria that give us good methods for identifying robust primary homology statements. I identify six such criteria and explore each (...) with examples. Ultimately, it is important to minimize character reification, because poor character analysis leads to dismal cladograms, even when proper phylogenetic analysis is employed. Given the deep and systemic problems associated with character reification, it is ironic that philosophers have focused almost entirely on phylogenetic analysis and neglected character analysis. (shrink)

The development of comparative biology has been of interest to philosophers and historians. Particular attention has been placed on the ‘war’ of the 1970s and 1980s, the apparent dispute among those who preferred this or that methodology. In this contribution we examine the history of comparative biology from the perspective of fundamentals rather than methodologies. Our examination is framed within the artificial—natural classification dichotomy, a viewpoint currently lost from view but worth resurrecting.

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)

Genes are thought to have evolved from long-lived and multiply-interactive molecules in the early stages of the origins of life. However, at that stage there were no replicators, and the distinction between interactors and replicators did not yet apply. Nevertheless, the process of evolution that proceeded from initial autocatalytic hypercycles to full organisms was a Darwinian process of selection of favourable variants. We distinguish therefore between Neo-Darwinian evolution and the related Weismannian and Central Dogma divisions, on the one hand, and (...) the more generic category of Darwinian evolution on the other. We argue that Hull’s and Dawkins’ replicator/interactor distinction of entities is a sufficient, but not necessary, condition for Darwinian evolution to take place. We conceive the origin of genes as a separation between different types of molecules in a thermodynamic state space, and employ a notion of reproducers. (shrink)

In various debates about science, appeal is made to the freedom of scientific research. A rationale in favor of this freedom is rarely offered. In this paper, two major arguments are reconstructed that promise to lend support to a principle of scientific freedom. According to the epistemological argument, freedom of research is required in order to organize the collective cognitive effort we call science efficiently. According to the political argument, scientific knowledge needs to be generated in ways that are independent (...) of the major political powers because of the important role it plays for the citizens and their capacity to form well-informed political preferences. Both arguments are examined critically in order to identify their strengths and limitations. I argue that the scientific freedom established by both rests on a number of critical preconditions, and that the arguments’ force must be weighed against competing societal interests and values in each case of their application. Appeal to a principle of scientific freedom should therefore never mark the end, but rather the beginning of a public debate about the ends and means of science. (shrink)

In both biology and the human sciences, social groups are sometimes treated as adaptive units whose organization cannot be reduced to individual interactions. This group-level view is opposed by a more individualistic one that treats social organization as a byproduct of self-interest. According to biologists, group-level adaptations can evolve only by a process of natural selection at the group level. Most biologists rejected group selection as an important evolutionary force during the 1960s and 1970s but a positive literature began to (...) grow during the 1970s and is rapidly expanding today. We review this recent literature and its implications for human evolutionary biology. We show that the rejection of group selection was based on a misplaced emphasis on genes as “replicators” which is in fact irrelevant to the question of whether groups can be like individuals in their functional organization. The fundamental question is whether social groups and other higher-level entities can be “vehicles” of selection. When this elementary fact is recognized, group selection emerges as an important force in nature and what seem to be competing theories, such as kin selection and reciprocity, reappear as special cases of group selection. The result is a unified theory of natural selection that operates on a nested hierarchy of units.The vehicle-based theory makes it clear that group selection is an important force to consider in human evolution. Humans can facultatively span the full range from self-interested individuals to “organs” of group-level “organisms.” Human behavior not only reflects the balance between levels of selection but it can also alter the balance through the construction of social structures that have the effect of reducing fitness differences within groups, concentrating natural selection (and functional organization) at the group level. These social structures and the cognitive abilities that produce them allow group selection to be important even among large groups of unrelated individuals. (shrink)

Memes are an idea whose time has come, again, and again, and again, but which has never really made it beyond metaphor. Anthropologist Robert Aunger’s book 'The Electric Meme' is a new attempt to take it to the next stage, setting up a research program with proper models and theoretical entities. He succeeds partially, with some contributions to the logic of replication, but in the end, his proposal for the substrate of memes is a non-solution to a central problem of (...) memetics. (shrink)

The biological species (biospecies) concept applies only to sexually reproducing species, which means that until sexual reproduction evolved, there were no biospecies. On the universal tree of life, biospecies concepts therefore apply only to a relatively small number of clades, notably plants andanimals. I argue that it is useful to treat the various ways of being a species (species modes) as traits of clades. By extension from biospecies to the other concepts intended to capture the natural realities of what keeps (...) taxa distinct, we can treat other modes as traits also, and so come to understand that theplurality of species concepts reflects the biological realities of monophyletic groups.We should expect that specialists in different organisms will tend to favour those concepts that best represent the intrinsic mechanisms that keep taxa distinct in their clades. I will address the question whether modes ofreproduction such as asexual and sexual reproduction are natural classes, given that they are paraphyletic in most clades. (shrink)

In both biology and the human sciences, social groups are sometimes treated as adaptive units whose organization cannot be reduced to individual interactions. This group-level view is opposed by a more individualistic one that treats social organization as a byproduct of self-interest. According to biologists, group-level adaptations can evolve only by a process of natural selection at the group level. Most biologists rejected group selection as an important evolutionary force during the 1960s and 1970s but a positive literature began to (...) grow during the 1970s and is rapidly expanding today. We review this recent literature and its implications for human evolutionary biology. We show that the rejection of group selection was based on a misplaced emphasis on genes as "replicators" which is in fact irrelevant to the question of whether groups can be like individuals in their functional organization. The fundamental question is whether social groups and other higher-level entities can be "vehicles" of selection. When this elementary fact is recognized, group selection emerges as an important force in nature and what seem to be competing theories, such as kin selection and reciprocity, reappear as special cases of group selection. The result is a unified theory of natural selection that operates on a nested hierarchy of units. The vehicle-based theory makes it clear that group selection is an important force to consider in human evolution. Humans can facultatively span the full range from self-interested individuals to "organs" of group-level "organisms." Human behavior not only reflects the balance between levels of selection but it can also alter the balance through the construction of social structures that have the effect of reducing fitness differences within groups, concentrating natural selection (and functional organization) at the group level. These social structures and the cognitive abilities that produce them allow group selection to be important even among large groups of unrelated individuals. (shrink)

A common complaint against the increasing privatization of research is that research that is conducted with the immediate purpose of producing applicable knowledge will not yield knowledge as valuable as that generated in more curiosity‐driven, academic settings. In this paper, I make this concern precise and reconstruct the rationale behind it. Subsequently, I examine the case of industry research on the giant magnetoresistance effect in the 1990s as a characteristic example of research undertaken under considerable pressure to produce applicable results. (...) The example permits one to arrive at a more optimistic assessment of the epistemic merits of private, application‐driven research. I attempt to specify the conditions that, in this case, advanced the production of interesting and reliable knowledge. (shrink)

The vision of natural kinds that is most common in the modern philosophy of biology, particularly with respect to the question whether species and other taxa are natural kinds, is based on a revision of the notion by Mill in A System of Logic. However, there was another conception that Whewell had previously captured well, which taxonomists have always employed, of kinds as being types that need not have necessary and sufficient characters and properties, or essences. These competing views employ (...) different approaches to scientific methodologies: Mill’s class-kinds are not formed by induction but by deduction, while Whewell’s type-kinds are inductive. More recently, phylogenetic kinds (clades, or monophyletic-kinds) are inductively projectible, and escape Mill’s strictures. Mill’s version represents a shift in the notions of kinds from the biological to the physical sciences. (shrink)

In response to Quinn we identify cladistics to be about natural classifications and their discovery and thereby propose to add an eighth cladistic definition to Quinn’s list, namely the systematist who seeks to discover natural classifications, regardless of their affiliation, theoretical or methodological justifications.

University of North Carolina at Greensboro Most approaches to the philosophy of the natural and social sciences are basedon completed scientific investigations. However, there are many importantcases in science in which testing is incomplete. These cases are termed suspendedtrials and are particularly significant in biomedical and allied health fields. Initially,the authors' interest in suspended trials was piqued by a controversialmethod for assisting autistic children known as facilitated communication. Thisarticle examines facilitated communication and other examples of suspendedtrials from the perspective of (...) an economics of science and game theory. Themodel is consistent with recent evolutionary approaches to the philosophy ofthe natural and social sciences and with recent contributions to an economicunderstanding of science. Key Words: clinical trials • innovative therapies • economics of science • suspended trials • facilitated communication • economics of clinical research. (shrink)

Among the various institutional structures of an economy like the firm and the marketplace is one that is like no other. Science is unique. This uniqueness raises an important question: why does science exist? From an economic perspective, there are two potentially meaningful approaches to the existence of science. They both encompass institutional pluralism. A substitutes theory of comparative institutions presupposes the primacy of the commercial marketplace over firms—that firms substitute for the market when markets fail. This theory has not (...) been used to explain the existence of science. A complements theory postulates that many simultaneous institutional responses, including science, are necessary for creating an efficient and equitable economy. The economic function of science is to produce fundamental theoretical abstractions about our world. Scientific theories are public goods that would not likely be produced within the governance structures of commercial markets and firms. The aim is to complement but not supplant traditional philosophical answers that science exists to discover truth and knowledge. (shrink)

Because of its complexity, contemporary scientific research is almost always tackled by groups of scientists, each of which works in a different part of a given research domain. We believe that understanding scientific progress thus requires understanding this division of cognitive labor. To this end, we present a novel agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic landscape. Scientists aim to climb uphill in this landscape, where elevation represents the significance of the (...) results discovered by employing a research approach. We consider three different search strategies scientists can adopt for exploring the landscape. In the first, scientists work alone and do not let the discoveries of the community as a whole influence their actions. This is compared with two social research strategies, which we call the follower and maverick strategies. Followers are biased towards what others have already discovered, and we find that pure populations of these scientists do less well than scientists acting independently. However, pure populations of mavericks, who try to avoid research approaches that have already been taken, vastly outperform both of the other strategies. Finally, we show that in mixed populations, mavericks stimulate followers to greater levels of epistemic production, making polymorphic populations of mavericks and followers ideal in many research domains. (shrink)

The Darwinian concept of natural selection was conceived within a set of Newtonian background assumptions about systems dynamics. Mendelian genetics at first did not sit well with the gradualist assumptions of the Darwinian theory. Eventually, however, Mendelism and Darwinism were fused by reformulating natural selection in statistical terms. This reflected a shift to a more probabilistic set of background assumptions based upon Boltzmannian systems dynamics. Recent developments in molecular genetics and paleontology have put pressure on Darwinism once again. Current work (...) on self-organizing systems may provide a stimulus not only for increased problem solving within the Darwinian tradition, especially with respect to origins of life, developmental genetics, phylogenetic pattern, and energy-flow ecology, but for deeper understanding of the very phenomenon of natural selection itself. Since self-organizational phenomena depend deeply on stochastic processes, self-organizational systems dynamics advance the probability revolution. In our view, natural selection is an emergent phenomenon of physical and chemical selection. These developments suggest that natural selection may be grounded in physical law more deeply than is allowed by advocates of the autonomy of biology, while still making it possible to deny, with autonomists, that evolutionary explanations can be modeled in terms of a deductive relationship between laws and cases. We explore the relationship between, chance, self-organization, and selection as sources of order in biological systems in order to make these points. (shrink)

The progress towards mathematization or, in a broader context, towards an increased “objectivity” is one of the main trends in the development of biological systematics in the past century. It is commonplace to start the history of numerical taxonomy with the works of R. R. Sokal and P. H. A. Sneath that in the 1960s laid the foundations of this school of taxonomy. In this article, I discuss the earliest research program in this field, developed in the 1920s by the (...) Russian entomologist and biometrician Eugen (Evgeniy Sergeevich) Smirnov. The theoretical and methodological grounds of this program are considered based on the published works of Smirnov as well as some archival sources. The influence of Smirnov’s evolutionary (mechano-Lamarckian) convictions on the development of this project of “exact systematics” is analyzed as well as the author’s attempts to establish a novel concept of “mathematical essentialism” in animal taxonomy. The probable causes of the failure of Smirnov’s project are viewed from both externalist and internalist perspectives, including the opposition to the use of quantitative methods in biology by some of the Lysenkoist ideologists in the USSR. A brief comparison of Smirnov’s research program with that developed 40 years later by Sokal and Sneath is provided. (shrink)

: This article describes a psychological test of Hull's (1988) theory of science as an evolutionary process by seeing if it can account for how scientists sometimes remember and cite the scientific literature. The conceptual adequacy of Hull's theory was evaluated by comparing it to Bartlett's (1932) seminal theory of human remembering. Bartlett found that remembering is an active, reconstructive process driven by a schema that biases recall in the direction of proto- typicality and personal involvement. This account supports Hull's (...) theory of science because it shows that the characteristics of reconstructive remembering are consistent with the generic properties of an evolutionary process. The empirical adequacy of Hull's theory was evaluated by comparing the predictions made from this evolutionary viewpoint against evidence from the history of science. Six cases studies of well-known psychological experiments that had been subject to repeated miscitation errors were collected and reviewed. All six case studies revealed a systematic pattern of distortions that is consistent with the schema-induced biases of reconstructive remembering. These findings support Hull's claim that science is an evolutionary process with scientists as interactors, scientific beliefs as replicators, and schemata as means for that replication. (shrink)

Despite the amount of work that has been produced on the subject over the years, the ‘transformation of cladistics’ is still a misunderstood episode in the history of comparative biology. Here, I analyze two outstanding, highly contrasting historiographic accounts on the matter, under the perspective of an influential dichotomy in the philosophy of science: the opposition between Scientific Realism and Empiricism. Placing special emphasis on the notion of ‘causal grounding’ of morphological characters in modern developmental biology’s theories, I arrive at (...) the conclusion that a ‘new transformation of cladistics’ is philosophically plausible. This ‘reformed’ understanding of ‘pattern cladistics’ entails retaining the interpretation of cladograms as ‘schemes of synapomorphies’, but in association to construing cladogram nodes as ‘developmental-genetic taxic homologies’, instead of ‘standard Darwinian ancestors’. The reinterpretation of pattern cladistics presented here additionally proposes to take Bas Van Fraassen’s ‘constructive empiricism’ as a philosophical stance that could properly support such analysis of developmental-genetic data for systematic purposes. The latter suggestion is justified through a reappraisal of previous ideas developed by prominent pattern cladists , which concerned a scientifically efficient ‘observable/non-observable distinction’ linked to the conceptual pair ‘ontogeny and phylogeny’. Finally, I argue that a robust articulation of Antirealist alternatives in systematics may provide a rational basis for its disciplinary separation from evolutionary biology, as well as for a critical reconsideration of the proper role of certain Scientific Realist positions, currently popular in comparative biology. (shrink)

Cultural phylogenetics has made remarkable progress by relying on methods originally developed in biology. But biological and cultural evolution do not always proceed according to the same principles. So what, if anything, could justify the use of phylogenetic methods to reconstruct the evolutionary history of culture? In this paper, we describe models used to assess the reliability of inference methods and show how these models play an underappreciated role in addressing that question. The notion of reliability is of course central (...) to these models. As we explain, a common way of understanding reliability is in terms of low error rates. A careful look at case studies in cultural phylogenetics suggests that reliability models partly corroborate this understanding of reliability but also raises points of tension. We conclude by hinting at a few ways forward. (shrink)

Evolutionary epistemologists aim to explain the evolution of cognitive capacities underlying human knowledge and also the processes that generate knowledge, for example in science. There can be no doubt that our cognitive capacities are due in part to our evolutionary heritage. But this is an uninformative thesis. All features of organism have indeed been shaped by evolution. A substantive evolutionary explanation of cognition would have to provide details about the evolutionary processes involved. Evolutionary epistemology has not provided any details. Considering (...) progress of theorizing in science, evolutionary epistemologists have proposed many different analogies between natural selection and selection in science. As yet, the analogies have not been fruitful. The entire program of evolutionary epistemology is programmatic. Evolutionary epistemologists have also moved beyond explanation to justification, the primary issue in traditional epistemology. It turns out that their program presupposes that we can justify knowledge claims in traditional ways. Evolutionary biology is not a proper tool for the justification of beliefs. (shrink)

I identify two versions of the scientific anti-realist’s selectionist explanation for the success of science: Bas van Fraassen’s original and K. Brad Wray’s newer interpretation. In Wray’s version, psycho-social factors internal to the scientific community – viz. scientists’ interests, goals, and preferences – explain the theory-selection practices that explain theory-success. I argue that, if Wray’s version were correct, then science should resemble art. In art, the artwork-selection practices that explain artwork-success appear faddish. They are prone to radical change over time. (...) Theory-selection practices that explain theory-success in science are however not faddish. They are mostly stable; that is, long-lived and consistent over time. This is because scientists (explicitly or implicitly) subscribe to what I will call the testability norm: scientific theories must make falsifiable claims about the external physical world. The testability norm and not psycho-sociology explains the theory-selection practices that explain theory-success in science. Contra Wray, scientific anti-realists can then maintain that the external physical world (as expressed in the testability norm) explains theory-success. (shrink)

The companion piece to this article, “Situating Moral Justification,” challenges the idea that moral epistemology's mission is to establish a single, all-purpose reasoning strategy for moral justification because no reasoning practice can be expected to deliver authoritative moral conclusions in all social contexts. The present article argues that rethinking the mission of moral epistemology requires rethinking its method as well. Philosophers cannot learn which reasoning practices are suitable to use in particular contexts exclusively by exploring logical relations among concepts. Instead, (...) in order to understand which reasoning practices are capable of justifying moral claims in different types of contexts, we need to study empirically the relationships between reasoning practices and the contexts in which they are used. The article proposes that philosophers investigate case studies of real-world moral disputes in which people lack shared cultural assumptions and/or are unequal in social power. It motivates and explains the proposed case study method and illustrates the philosophical value of this method through a case study. (shrink)

In Searle’s social ontology, collective intentionality is an essential component of all institutional facts. This is because the latter involve the assignment of functions, namely "status functions," on entities whose physical features do not guarantee their performance, therefore requiring our acceptance that it be performed. One counter-example to that claim can be found in Carl Menger’s individualistic account of the money system. Menger’s commitment to the self-interest assumption, however, prevents him from accounting for the deontic dimensions of institutional facts.

We argue that the mathematization of science should be understood as a normative activity of advocating for a particular methodology with its own criteria for evaluating good research. As a case study, we examine the mathematization of taxonomic classification in systematic biology. We show how mathematization is a normative activity by contrasting its distinctive features in numerical taxonomy in the 1960s with an earlier reform advocated by Ernst Mayr starting in the 1940s. Both Mayr and the numerical taxonomists sought to (...) formalize the work of classification, but Mayr introduced a qualitative formalism based on human judgment for determining the taxonomic rank of populations, while the numerical taxonomists introduced a quantitative formalism based on automated procedures for computing classifications. The key contrast between Mayr and the numerical taxonomists is how they conceptualized the temporal structure of the workflow of classification, specifically where they allowed meta-level discourse about difficulties in producing the classification. (shrink)