Realists about science tend to hold that our scientific theories aim for the truth, that our successful theories are at least partly true, and that the entities referred to by the theoretical terms of these theories exist. Antirealists about science deny one or more of these claims. A sizable minority of philosophers of science prefers not to take sides: they believe the realism debate to be fundamentally mistaken and seek to abstain from it altogether. In analogy with other realism debates (...) I will call these philosophers quietists. In the philosophy of science quietism often takes a somewhat peculiar form, which I will call naturalistic quietism. In this paper I will characterize Maddy’s Second Philosophy as a form of naturalistic quietism, and show what the costs for making it feasible are. (shrink)

The indispensability argument is a method for showing that abstract mathematical objects exist. Various versions of this argument have been proposed. Lately, commentators seem to have agreed that a holistic indispensability argument will not work, and that an explanatory indispensability argument is the best candidate. In this paper I argue that the dominant reasons for rejecting the holistic indispensability argument are mistaken. This is largely due to an overestimation of the consequences that follow from evidential holism. Nevertheless, the holistic indispensability (...) argument should be rejected, but for a different reason —in order that an indispensability argument relying on holism can work, it must invoke an unmotivated version of evidential holism. Such an argument will be unsound. Correcting the argument with a proper construal of evidential holism means that it can no longer deliver mathematical Platonism as a conclusion: such an argument for Platonism will be invalid. I then show how the reasons for rejecting the holistic indispensability argument importantly constrain what kind of account of explanation will be permissible in explanatory versions. (shrink)

Thomas Kuhn (1922-1996) is widely considered as one of the most important philosophers of science of the 20th century, while his The Structure of Scientific Revolutions (SSR) is regarded as one of the most influential works in the philosophy ofscience. At the same time, however, his place within philosophy of science remains ambiguous. On the one hand, despite the popularity of SSR, there is no proper ‘Kuhnian school of thought’ in HPS. On the other hand, the interest towards Kuhn does (...) not seem to fade away and the number of publications about his work does not seem to decrease. We suggest that there are at least three different ways to go ‘beyond SSR’: (i) by scrutinising the development of Kuhn’s thought, from his pre- to his post-SSR writings; (ii) by contextualising Kuhn in the philosophical milieu of his time, thus interpreting his view as emerging from the intellectual exchanges he had with contemporary philosophers; (iii) by reinterpreting and developing some of his most known ideas, in ways that perhaps Kuhn himself was not able to contemplate. (shrink)

Indispensability arguments are used as a way of working out what there is: our best science tells us what things there are. Some philosophers think that indispensability arguments can be used to show that we should be committed to the existence of mathematical objects (numbers, functions, sets). Do indispensability arguments also deliver conclusions about the modal properties of these mathematical entities? Colyvan (in Leng, Paseau, Potter (eds) Mathematical knowledge, OUP, Oxford, 109-122, 2007) and Hartry Field (Realism, mathematics and modality, Blackwell, (...) Oxford, 1989) each suggest that a consequence of the empirical methodology of indispensability arguments is that the resulting mathematical objects can only be said to exist (or not exist) contingently. Kristie Miller has argued that this line of thought doesn’t work (Miller in Erkenntnis, 77 (3), 335-359, 2012). Miller argues that indispensability arguments are in direct tension with contingentism about mathematical objects, and that they cannot tell us about the modal status of mathematical objects. I argue that Miller’s argument is crucially imprecise, and that the best way of making it clearer no longer shows that the indispensability strategy collapses or is unstable if it delivers contingentist conclusions about what there is. (shrink)

Recent work takes both philosophical and scientific progress to consist in acquiring factive epistemic states such as knowledge. However, much of this work leaves unclear what entity is the subject of these epistemic states. Furthermore, by focusing only on states like knowledge, we overlook progress in intermediate cases between ignorance and knowledge—for example, many now celebrated theories were initially so controversial that they were not known. -/- This paper develops an improved framework for thinking about intellectual progress. Firstly, I argue (...) that we should think of progress relative to the epistemic position of an intellectual community rather than individual inquirers. Secondly, I show how focusing on the extended process of inquiry (rather than the mere presence or absence of states like knowledge) provides a better evaluation of different types of progress. This includes progress through formulating worthwhile questions, acquiring new evidence, and increasing credence on the right answers to these questions. I close by considering the ramifications for philosophical progress, suggesting that my account supports rejecting the most negative views while allowing us to articulate different varieties of optimism and pessimism. (shrink)

Paying attention to the inner workings of mathematicians has led to a proliferation of new themes in the philosophy of mathematics. Several of these have to do with epistemology. Philosophers of mathematical practice, however, have not (yet) systematically engaged with general (analytic) epistemology. To be sure, there are some exceptions, but they are few and far between. In this chapter, I offer an explanation of why this might be the case and show how the situation could be remedied. I contend (...) that it is only by conceiving the knowing subject(s) as embodied, fallible, and embedded in a specific context (along the lines of what has been done within social and feminist epistemology) that we can pursue an epistemology of mathematics sensitive to actual mathematical practice. I further suggest that this reconception of the knowing subject(s) does not force us to abandon the traditional framework of epistemology in which knowledge requires justified true belief. It does, however, lead to a fallible conception of mathematical justification that, among other things, makes Gettier cases possible. This shows that topics considered to be far removed from the interests of philosophers of mathematical practice might reveal to be relevant to them. (shrink)

I argue that the constitutive aim of belief and the constitutive aim of science are both knowledge. The ‘aim of belief’, understood as the correctness conditions of belief, is to be identified with the product of properly functioning cognitive systems. Science is an institution that is the social functional analogue of a cognitive system, and its aim is the same as that of belief. In both cases it is knowledge rather than true belief that is the product of proper functioning.

In his mature works, Kuhn abandons the concept of a paradigm and becomes more interested in the analysis of the conceptual structure of scientific theories. These changes are interpreted as resulting from a ‘linguistic turn’ that Kuhn underwent sometimes around the 1980s. Much of the philosophical discussions about Kuhn’s post-‘linguistic turn’ philosophy revolves around his views on taxonomic concepts. Apart from taxonomy, however, the mature Kuhn introduces other concepts, such as conceptual networks and lexicons. This article distinguishes these three concepts (...) and shows that adopting each one of them has different impacts on Kuhn’s model of science. After distinguishing and assessing the concepts of taxonomy, network, and lexicon, it will be argued that the latter not only fits the Kuhnian model of science better, but it also helps capture the wide sense of Kuhn’s early concept of a paradigm. (shrink)

At least historically, it was common for medical practitioners to believe causal hypotheses on the basis of standalone mechanistic reasoning. However, it is now widely acknowledged that standalone mechanistic reasoning is insufficient for appropriately believing a causal hypothesis in medicine, thanks in part to the so-called problem of masking. But standalone mechanistic reasoning is not the only type of mechanistic reasoning. When exactly then is it appropriate to believe a causal hypothesis on the basis of mechanistic reasoning? In this paper, (...) I argue that it has proved difficult to provide a satisfying answer to this question. I also argue that this difficulty is predicted by recent work in knowledge-first epistemology. I think this shows that recent work in epistemology has important implications for practice in the philosophy of science. It is therefore worth paying closer attention in the philosophy of science to this recent work in knowledge-first epistemology. (shrink)

Dominantní pozitivistická epistemologie dat v současné vědě, která staví na metafyzickém realismu a ideálu mechanické objektivity, trpí řadou trhlin. Tyto nedostatky byly identifikovány v mnohých kritických ohlasech, které vedou k nové problematizaci ustáleného konceptu dat. Mezi kritizovanými aspekty tohoto konceptu se opakují varování ohledně zasazenosti dat do kontextu jejich tvorby, jejich zprostředkovanost nebo otevřenost manipulacím. Funkce dat v posledních letech nabývá na důležitosti kvůli stoupající datové náročnosti vědy, a proto je dříve neproblematickému konceptu dat věnováno více pozornosti. Objevují se také (...) alternativní přístupy k epistemologii dat, z nichž tato práce představuje směr konstruktivistický a rétorický. Prezentovaný text lze díky své kompilativní povaze, čerpající z kritické literatury zabývající se epistemologií dat, pojmout jako syntézu a rekonfiguraci existujících myšlenek k danému tématu. Je možné ho rovněž přijmout jako jeden z příspěvků k rétorické argumentaci v diskurzu dat současné vědy. (shrink)

In this paper I examine the relationship between historians, philosophers and sociologists of science, and indeed scientists themselves. I argue that they co-habit a shared intellectual territory ; and they should be able to do so peacefully, and with mutual respect, even if they disagree radically about how to describe the methods and results of science. I then go on to explore some of the challenges to mutually respectful cohabitation between history, philosophy and sociology of science. I conclude by identifying (...) a familiar kind of project in the philosophy of science which seeks to explore the worldview of a particular scientific discipline, and argue that it too has a right to explore the shared territory even though some historians and sociologists may find it methodologically suspect. (shrink)

The aim or goal of science has long been discussed by both philosophers of science and scientists themselves. In The Scientific Image (van Fraassen 1980), the aim of science is famously employed to characterize scientific realism and a version of anti-realism, called constructive empiricism. Since the publication of The Scientific Image, however, various changes have occurred in scientific practice. The increasing use of machine learning technology, especially deep learning (DL), is probably one of the major changes in the last decade. (...) This paper aims to explore the implications of DL-aided research for the aim of science debate. I argue that, while the emerging DL-aided research is unlikely to change the state of classic opposition between constructive empiricism and scientific realism, it could offer interesting cases regarding the opposition between those who espouse truth as the aim of science and those oriented to understanding (of the kind that sacrifices truth). (shrink)

“Problem-solving” as a criterion of scientific progress defended by Thomas S. Kuhn and Larry Laudan, respectively, has been criticized by several authors. Recently, Alexander Bird has suggested that problem-solving as a criterion of scientific progress is regressive and anti-intuitive. In this text I reassess Kuhn, Laudan and Bird’s positions and I show that Bird’s arguments are untenable.