Kategoria struktur metodologicznych wprowadzona przez Zygmunta Hajduka jest kategorią nową, nieużywaną dotąd w rozważaniach metodologicznych i niemającą w nich ugruntowanego miejsca. Dlatego można zapytać o funkcję, jaką miałaby ona pełnić w metodologii nauk, oraz ojej przydatność jako ogólnego pojęcia metodologicznego. Zasadnicze pytanie, jakie stawiam to: czy wprowadzony przez Z. Hajduka termin struktury metodologiczne może służyć jako najogólniejsza kategoria wyznaczająca przedmiot badań metodologii nauk? Odpowiadając negatywnie na to pytanie, przedstawiam argumenty, jakie przemawiają przeciwko używaniu pojęcia struktur metodologicznych w ten sposób. Moja (...) argumentacja przebiega w następujący sposób. Przywołując funkcjonujące w metodologii nauk zasadnicze sposoby rozumienia nauki, ujęcie metodologii nauk wyznaczone przez Szkołę lwowsko-warszawską i tradycję metodologiczną KUL, będącą jej kontynuacją, typy metodologii, współczesne anglosaskie ujęcia filozofii nauki oraz rozumienie analizy metodologicznej, próbuję wskazać w miarę całościową mapę kategorii metodologicznych wyznaczających przedmiot badań metodologii nauk. Następnie odnoszę do niej kategorię struktur metodologicznych jako wyznaczającą, moim zdaniem zbyt wąsko, przedmiot badań metodologii nauk i przeprowadzam krytykę pojęcia struktur metodologicznych jako najogólniejszej kategorii wyznaczającej przedmiot badań metodologii nauk. Wskazuję także na niekompletność zaproponowanej przez Z. Hajduka listy struktur metodologicznych, którymi zajmuje się metodologia nauk. (shrink)

Science is always presupposing some basic concepts that are held to be useful. These absolute presuppositions (Collingwood) are rarely debated and form the framework for what has been termed paradigm by Kuhn. Our currently accepted scientific model is predicated on a set of presuppositions that have difficulty accommodating holistic structures and relationships and are not geared towards incorporating non-local correlations. Since the theoretical models we hold also determine what we perceive and take as scientifically viable, it is important to look (...) for an alternative model that can deal with holistic relationships. One approach is to generalise algebraic quantum theory, which is an inherently holistic framework, into a generic model. Relaxing some restrictions and definitions from quantum theory proper yields an axiomatic framework that can be applied to any type of system. Most importantly, it keeps the core of the quantum theoretical formalism. It is capable of handling complementary observables, i.e. descriptors which are non-commuting, incompatible and yet collectively required to fully describe certain situations. It also predicts a generalised form of non-local correlations that in quantum theory are known as entanglement. This generalised version is not quantum entanglement but an analogue form of holistic, non-local connectedness of elements within systems, predicted to occur whenever elements within systems are described by observables which are complementary to the description of the whole system. While a considerable body of circumstantial evidence supports the plausibility of the model, we are not yet in a position to use it for clear cut predictions that could be experimentally falsified. The series of papers offered in this special issue are the beginning of what we hope will become a rich scientific debate. (shrink)

The project of integrated HPS has occupied philosophers of science in one form or another since at least the 1960s. Yet, despite this substantial interest in bringing together philosophical and historical reflections on the nature of science, history of science and formal philosophy of science remain as divided as ever. In this paper, I will argue that the continuing separation between historical and formal philosophy of science is ill-founded. I will argue for this in both abstract and concrete terms. At (...) the abstract level, I reconstruct two possible arguments for the incompatibility of historical and formal philosophy of science and argue that they are both wanting. At the concrete level, I discuss how historical and formal philosophy of science have been brought together in practice, namely: in the form of a largely forgotten research tradition that I will refer to here as the study of formalized macro-units. After a brief exposition, I argue that this research tradition has been unduly overlooked by historically minded philosophers of science. Bringing together these observations, I argue that the divide between historical and formal philosophy of science is not grounded in any substantive arguments, but can be primarily attributed to disciplinary happenstance. (shrink)

It is argued that the hard problem of consciousness, i.e. the fact that we have experience, stems from a conceptual confusion between consciousness and experience. It is concluded that experience has to be considered as a basic characteristic of ongoing interactions at even the most simple level, while consciousness is better defined as reflexive awareness, possible since symbolic language was developed. A dynamic evolutionary point of view is proposed to make more appropriate distinctions between experience, awareness and consciousness. Experience can (...) be defined as a characteristic linked closely to specific pattern matching, a characteristic which is already apparent at the molecular level at least. Awareness then can be regarded as the special experience of one or more central, final modules in the animal neuronal brain. From evolutionary considerations, awareness can be understood functionally and physiologically. As such, awareness is what experience is to animals. Finally, consciousness could be defined as reflexive awareness, instead of using the term as synonymous to awareness. The ability for reflexive awareness is distinctly different from animal and human awareness and depends upon the availability of a separate frame of reference, as provided by symbolic language. As such, words have made reflexive awareness - a specific and infrequent form of awareness - possible. Conciousness might be defined as the experience evoked by considering, i.e. thinking about experiences themselves. Explaining and understanding awareness and consciousness as evolved biological characteristics of the functioning of animals and later humans, poses no philosophical problems. The nature of experience itself remains elusive, but this is not a problem specific toawareness or consciousness. If there is a hard problem of explaining consciousness, than this actually must be considered as the hard problem of explaining experience. While the definition of experience could be broadened to include all molecular and biological pattern specific recognition events, the true nature of consciousness might be better understood when considering it as a very specific form of awareness, made possible by language. (shrink)

The dramatic and ongoing changes in the funding of science have stimulated interest in an economics of scientific knowledge, which would investigate the effects of these changes on the scientific enterprise. Hands has previously explored the lessons for such an ESK from the existing precedent of the sociology of scientific knowledge. In particular, he examines the philosophical problems of SSK and those that any ESK in its image would face. This paper explores this argument further by contending that more recent (...) literature in SSK exposes even deeper philosophical problems than those identified by Hands. Meaning finitism has emerged as the philosophical core of SSK. An examination of the profound problems with this position is used to show that an underlying extensionalism is the root of SSK's intractable philosophical difficulties, and to illustrate the entirely different approach of a critical philosophy that is advocated in its place. In this way, the project of an ESK is shown to depend upon a critical philosophy. (shrink)

The logic of scientific discovery is now a concern of computer scientists, as well as philosophers. In the computational approach to inductive inference, theories are treated as algorithms (computer programs), and the goal is to find the simplest algorithm that can generate the given data. Both computer scientists and philosophers want a measure of simplicity, such that simple theories are more likely to be true than complex theories. I attempt to provide such a measure here. I define a measure of (...) simplicity for directed graphs, inspired by Herbert Simon''s work. Many structures, including algorithms, can be naturally modelled by directed graphs. Furthermore, I adapt an argument of Simon''s to show that simple directed graphs are more stable and more resistant to damage than complex directed graphs. Thus we have a reason for pursuing simplicity, other than purely economical reasons. (shrink)

Charles Perrow used the term normal accidents to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms (...) of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production. (shrink)

My purpose in this paper is to show how a re-examination of Snow’s famous South London water study, widely taken to have established that cholera is water-borne, highlights some problems with current, scientific realist accounts of theory-change. When examining scientific controversies, such accounts focus disproportionately on the ‘winning’ theories and their properties, or on those of the reasoning of the scientists who proposed them. I argue that this focus is misguided and leads us to neglect much of what is epistemically (...) valuable in episodes of theory-change, thereby leading to inaccurate views about both the dynamics of theory-change and the notion of scientific progress that accompanies it. I end by sketching some implications for the philosophy of epidemiology. (shrink)

Michael Friedman’s Dynamics of Reason is a welcome contribution to the ongoing articulation of philosophical perspectives for understanding the sciences in the context of post-positivist philosophy of science. Two perspectives that have gained advocacy since the demise of the “received view” are Quinean naturalism and Kuhnian relativism. In his 1999 Stanford lectures, Friedman articulates and defends a neo-Kantian perspective for philosophy of science that opposes both of these perspectives. His proffered neo-Kantian perspective is presented within the context of the problem (...) of theory change or “scientific revolutions,” and its main feature is a conception of scientific knowledge that requires “relativized constitutive a priori principles.” The lectures make up the first part of the book; the second part of the book, “Fruits of Discussion,” is a further elaboration and defence of the ideas advanced in the lectures. The resulting book serves as a useful sequel to Friedman’s impressive historical studies in Foundations of Space-Time Theories, Kant and the Exact Sciences, and Reconsidering Logical Positivism. In the preface, Friedman tells us that this book represents the philosophical viewpoint that he has arrived at as a result of completing these works. As such, it is not surprising that the prominent themes of the book are ones that have occupied Friedman’s attention in the past, viz., the importance of a priori principles in the exact sciences, the conventionalism of the logical positivists, and, more generally, an articulation of what remains defensible in neo-Kantian philosophy of science. (shrink)

Traditionally, interdisciplinarity has been taken to require conceptual or theoretical integration. However, in the emerging field of sustainability science this kind of integration is often lacking. Indeed sometimes it is regarded as an obstacle to interdisciplinarity. Drawing on examples from sustainability science, we show that problem-feeding, i.e. the transfer of problems, is a common and fruitful-looking way of connecting disparate disciplines and establishing interdisciplinarity. We identify two species of problem-feeding: unilateral and bilateral. Which of these is at issue depends on (...) whether solutions to the problem are fed back to the discipline in which the problem originated. We suggest that there is an interesting difference between the problem-feeding approach to interdisciplinarity and the traditional integrative perspective suggested by among others Erich Jantsch and his colleagues. The interdisciplinarity resulting from problem-feeding between researchers can be local and temporary and does not require collaboration between proximate disciplines. By contrast, to make good sense of traditional integrative interdisciplinarity we must arguably associate it with a longer-term, global form of close, interdisciplinary collaboration. (shrink)

Historians tend to speak of the problem of the origin of species or the species question, as if it were a monolithic problem. In reality, the phrase refers to a, historically, surprisingly fluid and pluriform scientific issue. It has, in the course of the past five centuries, been used in no less than ten different ways or contexts. A clear taxonomy of these separate problems is useful or relevant in two ways. It certainly helps to disentangle confusions that have inevitably (...) emerged in the literature in its absence. It may, secondly, also help us to gain a more thorough understanding, or sharper view, of the history of evolutionary thought. A consequent problem-centric look at that history through the lens of various origin of species problems certainly yields intriguing results, including and particularly for our understanding of the genesis of the Wallace–Darwin theory of evolution through natural selection. (shrink)

This essay examines the origin of genotype-environment interaction, or G×E. "Origin" and not "the origin" because the thesis is that there were actually two distinct concepts of G×E at this beginning: a biometric concept, or \[G \times E_B\], and a developmental concept, or \[G \times E_D \]. R. A. Fisher, one of the founders of population genetics and the creator of the statistical analysis of variance, introduced the biometric concept as he attempted to resolve one of the main problems in (...) the biometric tradition of biology - partitioning the relative contributions of nature and nurture responsible for variation in a population. Lancelot Hogben, an experimental embryologist and also a statistician, introduced the developmental concept as he attempted to resolve one of the main problems in the developmental tradition of biology - determining the role that developmental relationships between genotype and environment played in the generation of variation. To argue for this thesis, I outline Fisher and Hogben's separate routes to their respective concepts of G × E; then these separate interpretations of G × E are drawn on to explicate a debate between Fisher and Hogben over the importance of G × E, the first installment of a persistent controversy. Finally, Fisher's \[G \times E_B\] and Hogben's \[G \times E_D \] are traced beyond their own work into mid-2Oth century population and developmental genetics, and then into the infamous IQ Controversy of the 1970s. (shrink)

In april 1872, with the caisson at a depth of seventy-odd feet and still no bedrock, two men died. The strain for Roebling was nearly unbearable, as his wife later said. On May 18, a third man died, and that same day Roebling made the most difficult and courageous decision of the project. Staking everything — the success of the bridge, his reputation, his career - he ordered a halt. The New York tower, he had concluded, could stand where it (...) was, at a depth of 78 feet 6 inches, not on bedrock, but on “hardpack” sand. From examinations of the strata he had determined to his own satisfaction that no movement had occured at the level since the time of deposit millions of years in the geologic past; so, he said, it was “good enough to found upon”. (shrink)

Religious naturalism encompasses thinkers from Baruch Spinoza, George Santayana, John Dewey, Henry Nelson Wieman, and Ralph Burhoe to recent writers. I offer a generic definition of religious naturalism and then outline my own version, the “minimalist vision of transcendence.” Many standard issues in the science‐and‐religion dialogue are seen to fade in significance for religious naturalism. I make suggestions for our understanding of science, including the importance of transcognitive abilities, the need for a revised notion of rationality as an alternative to (...) extreme versions of postmodernism, the value of rational dissensus, and the education of appreciation. Finally, I suggest ways to interpret the religious traditions of the world by religious naturalism. (shrink)

Noam Chomsky and other linguists and psychologists have suggested that human linguistic behavior is somehow governed by a mental representation of a transformational grammar. Challenges to this controversial claim have often been met by invoking an explicitly computational perspective: It makes perfect sense to suppose that a grammar could be represented in the memory of a computational device and that this grammar could govern the device's use of a language. This paper urges, however, that the claim that humans are such (...) a device is unsupported and that it seems unlikely that linguists and psychologists really want to claim any such thing. Evidence for the linguists' original claim is drawn from three main sources: the explanation of language comprehension and other linguistic abilities; evidence for formal properties of the rules of the grammar; and the explanation of language acquisition. It is argued in this paper that none of these sources provides support for the view that the grammar governs language processing in something like the way a program governs the operation of a programmed machine. The computational approach, on the contrary, suggests ways in which linguistic abilities can be explained without the attribution of any explicit representation of rules governing linguistic behavior. (shrink)

The main aim of this paper is to revisit the curve fitting problem using the reliability of inductive inference as a primary criterion for the ‘fittest' curve. Viewed from this perspective, it is argued that a crucial concern with the current framework for addressing the curve fitting problem is, on the one hand, the undue influence of the mathematical approximation perspective, and on the other, the insufficient attention paid to the statistical modeling aspects of the problem. Using goodness-of-fit as the (...) primary criterion for ‘best', the mathematical approximation perspective undermines the reliability of inference objective by giving rise to selection rules which pay insufficient attention to ‘accounting for the regularities in the data'. A more appropriate framework is offered by the error-statistical approach, where (i) statistical adequacy provides the criterion for assessing when a curve captures the regularities in the data adequately, and (ii) the relevant error probabilities can be used to assess the reliability of inductive inference. Broadly speaking, the fittest curve (statistically adequate) is not determined by the smallness if its residuals, tempered by simplicity or other pragmatic criteria, but by the nonsystematic (e.g. white noise) nature of its residuals. The advocated error-statistical arguments are illustrated by comparing the Kepler and Ptolemaic models on empirical grounds. ‡I am grateful to Deborah Mayo and Clark Glymour for many valuable suggestions and comments on an earlier draft of the paper; estimating the Ptolemaic model was the result of Glymour's prompting and encouragement. †To contact the author, please write to: Department of Economics, Virginia Tech 3019 Pamplin Hall (0316), Blacksburg, VA 24061; e-mail: [email protected]. (shrink)

The distinction between mature and immature science is controversial. Laudan (1977) disavows the idea of immature science while Von Eckardt (1993) claims that cognitive science is just that (an immature science) and modifies Laudan's Research Tradition methodology to argue its rational pursuability . She uses the (Kuhnian) idea of a framework of shared characteristics (FSC) to identify the community of cognitive scientists. Diverse community assumptions pertaining specifically to human cognitive capacities (should) consolidate cognitive research efforts into a coherent and rationally (...) pursuable scientific endeavor. Von Eckardt maintains that the substantive assumptions about the computational and representational character of human cognitive capacities are central to the rational reconstruction of immature cognitive science in two ways. Descriptively, these assumptions are evident in the cognitive science community. Normatively, the assumptions satisfy justificatory conditions on the rational pursuit of this computational, cognitive science research tradition. Normativity is a problem for any naturalistic approach and thus for Von Eckardt's FSC. I critique the FSC strategy and present a modestly naturalistic alternative based on ideas of Goodman, Quine, and more recently, Philip Kitcher. I apply them to the “childhood afflictions” endemic to immaturity, scientific and otherwise. I test my critique of immature computational cognitive science by discussing two phenomena that, in my view, belong properly to any theory of human cognition but are noticeably absent from Von Eckardt's FSC reconstruction. I conclude that understanding the reasons why the FSC view fails can and should contribute to the development of a successful and complete theory of human cognition. (shrink)

Critique of instrumental accounts of epistemic rationality.