Philosophical analyses of causation have been centred on the question of what causation is. More precisely speaking, philosophers tend to address four different issues: metaphysical (what is causation out there?), epistemological (how can a causal claim be established and assessed?), conceptual (what does the word ‘cause’ mean?), and methodological (what methods ought one to use in order to establish and assess causal claims?). This chapter argues that the practical issue of causation (what is a causal claim for in practice?) is (...) highly relevant to the metaphysical, epistemological, conceptual, and methodological issues of causation. Any philosophical enquiry into causation without an examination of this practical issue is incomplete. In other words, a promising approach to causation ought to take all of the metaphysical, epistemological, conceptual, methodological, and practical issues into account. (shrink)

A conspicuous feature of contemporary modelling practices is the use of the same mathematical forms and modelling methods across different scientific domains. This model transfer raises many philosophical questions concerning, for example, the exact object of transfer, the relationship between the model and the target domain, the specific challenges such transfer confronts, and the ways in which model transfer relates to scientific progress. While the interest in studying model transfer has increased among philosophers of science in recent years, the phenomenon (...) has not yet received its due attention. The literature is scattered and much of it has addressed questions around the factors that might explain model transfer, such as whether the different target phenomena to which a model is applied eventually prove to be structurally and dynamically similar, or whether they have to share more fundamental ontological features that explain the interdisciplinary success of distinct models. This chapter surveys the existing literature on model transfer with the main goal of highlighting the main findings of existing discussions and pointing out open issues whose discussion would improve our understanding of this highly relevant phenomenon in science. (shrink)

Here, I take alethic views of understanding to be all views that hold that whether an explanation is true or false matters for whether that explanation provides understanding. I then argue that there is (as yet) no naturalistic defence of alethic views of understanding in cognitive science, because there is no agreement about the correct descriptions of the content of cognitive scientific explanations. I use this claim to argue for the provisional acceptance of afactivism in cognitive science, which is the (...) view that the truth or falsity of an explanation of cognition is irrelevant to whether that explanation provides understanding. I conclude by discussing the relation between understanding in cognitive science and understanding in other domains. (shrink)

Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...) epistemic consequentialists about imagination. (shrink)

Recently there has been an increasing interest in metaphilosphy. The aim of philosophy has been examined. The development of philosophy has also been scrutinised. With the development of new approaches and methods, new problems arise. This collection revisits some of the metaphilosophical issues, including philosophical progress and the aim of philosophy. It sheds new light on some old approaches, such as naturalism and ordinary language philosophy. It also explores new philosophical methods (e.g., digital philosophy of science, conceptual engineering, and the (...) practice-based approach to logic) and their prospects. (shrink)

Bird’s new book, Knowing Science, provides an exemplar of how to do epistemology and philosophy of science together. While I wholeheartedly appreciate his attempt to bridge the gap between epistemology and philosophy of science and find his project promising, I am not convinced by the central thesis of the book that knowledge plays a central role in science. In this article, I focus on Bird’s epistemic account of scientific progress, which is the view that the nature of scientific progress is (...) the accumulation of scientific knowledge. Contra Bird, I argue that scientific progress cannot be fully characterised as the accumulation of scientific knowledge. (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)

This paper presents the results of an empirical study following up on Mizrahi (2021). Using the same methods of text mining and corpus analysis used by Mizrahi (2021), we test empirically a philosophical account of scientific progress that Mizrahi (2021) left out of his empirical study, namely, the so-called functional-internalist account of scientific progress according to which the aim or goal or scientific research is to solve problems. In general, our results do not lend much empirical evidence in support of (...) the problem-solving model of scientific progress over the other philosophical accounts of scientific progress (namely, the epistemic, noetic, and semantic accounts of scientific progress) tested in Mizrahi (2021) and in this follow-up study. Of all the subjects in the JSTOR database we have tested in this study, however, Mathematics is an interesting exception as far as the problem-solving model of scientific progress is concerned. For, in Mathematics alone, we have found that there is significantly more talk of the aims and/or goals of research in terms of solutions than in terms of truth, knowledge, or understanding. (shrink)

The aim of this paper is to contribute to the debate over the nature of scientific progress in philosophy of science by taking a quantitative, corpus-based approach. By employing the methods of data science and corpus linguistics, the following philosophical accounts of scientific progress are tested empirically: the semantic account of scientific progress, the epistemic account of scientific progress, and the noetic account of scientific progress. Overall, the results of this quantitative, corpus-based study lend some empirical support to the epistemic (...) and the noetic accounts over the semantic account of scientific progress, for they suggest that practicing scientists use the terms ‘knowledge’ and ‘understanding’ significantly more often than the term ‘truth’ when they talk about the aims or goals of scientific research in their published works. But the results do not favor the epistemic account over the noetic account, or vice versa, for they reveal no significant differences between the frequency with which practicing scientists use the terms ‘knowledge’ and ‘understanding’ when they talk about the aims or goals of scientific research in their published works. (shrink)

As a discipline distinct from ecology, conservation biology emerged in the 1980s as a rigorous science focused on protecting biodiversity. Two algorithmic breakthroughs in information processing made this possible: place-prioritization algorithms and geographical information systems. They provided defensible, data-driven methods for designing reserves to conserve biodiversity that obviated the need for largely intuitive and highly problematic appeals to ecological theory at the time. But the scientific basis of these achievements and whether they constitute genuine scientific progress has been criticized. We (...) counter by pointing out important inaccuracies about the science and rejecting the apparent theory-first focus. More broadly, the case study reveals significant limitations of the predominant epistemic-semantic conceptions of scientific progress and the considerable merits of pragmatic, practically-oriented accounts. (shrink)

As a discipline distinct from ecology, conservation biology emerged in the 1980s as a rigorous science focused on protecting biodiversity. Two algorithmic breakthroughs in information processing made this possible: place-prioritization algorithms and geographical information systems. They provided defensible, data-driven methods for designing reserves to conserve biodiversity that obviated the need for largely intuitive and highly problematic appeals to ecological theory at the time. But the scientific basis of these achievements and whether they constitute genuine scientific progress has been criticized. We (...) counter by pointing out important inaccuracies about the science and rejecting the apparent theory-first focus. More broadly, the case study reveals significant limitations of the predominant epistemic-semantic conceptions of scientific progress and the considerable merits of pragmatic, practically-oriented accounts. (shrink)

This paper investigates the emergence of conformational analysis in organic chemistry as a case of conceptual change in science. In this case, the mechanism of conceptual change is identified as the emergence of a new exemplar. This new exemplar was made possible because of the identification of a distinctive chemical structure to which ‘foothold’ concepts were applicable. These concepts facilitated both clear explanation in the particular case, and the analogical extension of the conceptual innovation throughout the discipline. The case suggests (...) a cognitive explanation for the importance of exemplars to scientific content. (shrink)

Contemporary debate surrounding the nature of scientific progress has focused upon the precise role played by justification, with two realist accounts having dominated proceedings. Recently, however, a third realist account has been put forward, one which offers no role for justification at all. According to Finnur Dellsén’s (Stud Hist Philos Sci Part A 56:72–83, 2016) noetic account, science progresses when understanding increases, that is, when scientists grasp how to correctly explain or predict more aspects of the world that they could (...) before. In this paper, we argue that the noetic account is severely undermotivated. Dellsén provides three examples intended to show that understanding can increase absent the justification required for true belief to constitute knowledge. However, we demonstrate that a lack of clarity in each case allows for two contrasting interpretations, neither of which serves its intended purpose. On the first, the agent involved lacks both knowledge and understanding; and, on the second, the agent involved successfully gains both knowledge and understanding. While neither interpretation supports Dellsén’s claim that understanding can be prised apart from knowledge, we argue that, in general, agents in such cases ought to be attributed neither knowledge nor understanding. Given that the separability of knowledge and understanding is a necessary component of the noetic account, we conclude that there is little support for the idea that science progresses through increasing understanding rather than the accumulation of knowledge. (shrink)

What is scientific progress? This paper advances an interpretation of this question, and an account that serves to answer it. Roughly, the question is here understood to concern what type of cognitive change with respect to a topic X constitutes a scientific improvement with respect to X. The answer explored in the paper is that the requisite type of cognitive change occurs when scientific results are made publicly available so as to make it possible for anyone to increase their understanding (...) of X. This account is briefly compared to two rival accounts of scientific progress, based respectively on increasing truthlikeness and accumulating knowledge, and is argued to be preferable to both. (shrink)

Is there progress in philosophy? If so, how much? Philosophers have recently argued for a wide range of answers to these questions, from the view that there is no progress whatsoever to the view that philosophy has provided answers to all the big philosophical questions. However, these views are difficult to compare and evaluate, because they rest on very different assumptions about the conditions under which philosophy would make progress. This paper looks to the comparatively mature debate about scientific progress (...) for inspiration on how to formulate four distinct accounts of philosophical progress, in terms of truthlikeness, problem-solving, knowledge, and understanding. Equally importantly, the paper outlines a common framework for how to understand and evaluate these accounts. We distill a series of lessons from this exercise, to help pave the way for a more fruitful discussion about philosophical progress in the future. (shrink)

In a recent paper in this journal, entitled ‘Scientific Progress: Why Getting Closer to Truth is Not Enough’ (2017), Moti Mizrahi argues that the view of progress as approximation to the truth or increasing verisimilitude is plainly false. The key premise of his argument is that on such a view of progress, in order to get closer to the truth one only needs to arbitrarily add a true disjunct to a hypothesis or theory. Since quite clearly scientific progress is not (...) a matter of adding true disjuncts to theories, the argument goes, the view of progress as approximation to the truth is untenable. We show that the key premise of Mizrahi’s argument is false: according to verisimilitude-based accounts of progress, adding arbitrary true disjuncts to existing theories is just not enough to get closer to the truth. (shrink)

I propose an approach that expands philosophical views of scientific change, on the basis of an analysis of contemporary biomedical research and recent developments in the philosophy of scientific change. Focusing on the establishment of the exposome in epidemiology as a case study and the role of data as a context for contrasting views on change, I discuss change at conceptual, methodological, material, and social levels of biomedical epistemology. Available models of change provide key resources to discuss this type of (...) change, but I present the need for an approach that models transfer, alignment, and influence as key processes of change. I develop this as a pragmatic approach to scientific change, where processes might change substantially depending on specific circumstances, thus contributing to and complementing the debate on a crucial epistemological issue. (shrink)

I defend a novel account of scientific progress centred around justification. Science progresses, on this account, where there is a change in justification. I consider three options for explicating this notion of change in justification. This account of scientific progress dispels with a condition for scientific progress that requires accumulation of truth or truthlikeness, and it emphasises the social nature of scientific justification.

In this chapter, we discuss a specific kind of progress that occurs in most branches of economics today: progress involving the repeated use of mathematical models. We adopt a functional account of progress to argue that progress in economics occurs through the use of what we call “common recipes” and model templates for defining and solving problems of relevance for economists. We support our argument by discussing the case of 20th century business cycle research. By presenting this case study in (...) detail, we show how model templates are not only reapplied to different phenomena. We also show how scientists first develop them and how, once they are considered less useful, they are replaced with new ones. Finally, our case also illustrates that it is not only the mathematical structure that is reused but that such reuse also requires a shared conceptual vision of the core properties of the phenomenon to be studied. If that vision is no longer shared among economists, a model template can become useless and has to be replaced, sometimes against resistance, with a different one. (shrink)

Scientific progress is a hot topic in the philosophy of science. However, as yet we lack a comprehensive philosophical examination of scientific progress. First, the recent debate pays too much attention to the epistemic approach and the semantic approach. Shan’s new functional approach and Dellsén’s noetic approach are still insufficiently assessed. Second, there is little in-depth analysis of the progress in the history of the sciences. Third, many related philosophical issues are still to be explored. For example, what are the (...) implications of scientific progress for the scientific realism/antirealism debate? Is the incommensurability thesis a challenge to scientific progress? What role does aesthetic values play in scientific progress? Does idealisation impede scientific progress? This book fills this gap. It offers a new assessment of the four main approaches to scientific progress (Part I). It also features eight historical case studies to investigate the notion of progress in different disciplines: physics, chemistry, evolutionary biology, seismology, psychology, sociology, economics, and medicine respectively (Part II). It discusses some issues related to scientific progress: scientific realism, incommensurability, values in science, idealisation, scientific speculation, interdisciplinarity, and scientific perspectivalism (Part III). (shrink)

The functional approach to scientific progress has been mainly developed by Kuhn, Lakatos, Popper, Laudan, and more recently by Shan. The basic idea is that science progresses if key functions of science are fulfilled in a better way. This chapter defends the function approach. It begins with an overview of the two old versions of the functional approach by examining the work of Kuhn, Laudan, Popper, and Lakatos. It then argues for Shan’s new functional approach, in which scientific progress is (...) defined as an increase of usefulness of exemplary practices. (shrink)

Scientific progress is one of the topics that has always been considered in the philosophy of science and various accounts have been presented as regards the occurrence of progress. One of the most important challenges in progress is the radical changes in scientific theories, i.e. scientific revolutions. Kuhn considers these revolutions to be discontinuities in the history of science. Although he acknowledges progress in the normal science period by referring to the puzzle solving, he fails to explain the progress in (...) scientific revolutions by proposing the incommensurability of paradigms. In contrast, Bhaskar by describing the stratified world, considers science as a continuous process with the aim of achieving causal mechanisms and structures, discovers and describes new and deeper layers. He explains progress on this basis and believes that science has the potentiality of both change and progress. The present essay discusses the progress theories offered by Bhaskar and Kuhn. Also we compare the epistemological and ontological aspects of these perspectives in order to investigate Khun's inability to explain progress during the revolution in the light of Bhaskar's views. (shrink)

What do we mean by “disagreements between legal theorists”? A simple answer: disagreements among legal theorists occur when two (or more) agents have rival theories to explain a matter within the same field ‒ in the specific case, the study of law. The argumentative strategy I use in this research consists in adopting a broader perspective in order to remove the specialisation bias with which many legal theorists seek to avoid the difficulty of demarcating their own activity. If we consider (...) that the study of law is a heuristic activity, like many others, we have to assume that it shares family resemblances with others. In my thesis, I assume that knowledge depends on a given conceptual scheme, resulting from a specific use of language. In other words, the agents interact among themselves in a certain language game, thereby generating an intersubjective environment. Thus, the main issue that arises is how wide and intense the degree of intersubjectivity is in a certain field. These theoristic disagreements, in order not to be trivial, must belong to the same heuristic field. This condition implies that the problem does not lie in the disagreements that may exist between legal practitioners, since their purpose is not the construction of knowledge, but the operation of a normative system. The relationship I establish between incommensurability and disagreements among legal theorists is justified, since I start from the consideration of the study of law as a heuristic field. However, by introducing the analogy of translation as a solution for multiple meanings, I elaborate a comprehensive conceptual scheme in which I depend on a general theory about disagreement. In this explanation, the conceptual schemes used by theorists are no longer only static frameworks but also influence the interaction among the agents in the heuristic field. When the used schemes are different, the form of interaction is the translation. The activity of translating has its own characteristics and limits; it is not a mechanical exercise, even though it also has its rules. The product of that activity is translation, which entails epistemic losses and gains. In order to notice the interaction in the debate between legal theorists, I propose to look for tools that open up new vistas and choose to create an optimal scenario for translation. (shrink)

Theories on the Solar System formation have a long, centuries-old history. Starting with Descartes, going on to the works of Kant and Laplace, several natural philosophers and scientists have proposed theories that tried to explain the origin of the system from an initial primordial state moving forward to the features currently observed. In the second half of the 20th century the question began to be inquired by a growing specialized scientific community. A scientific consensus began to be formed in the (...) last decades of this period, becoming even more cohesive in the 21st century, around the conception that planets are by-products of the formation of the Sun and that the process of planetary formation takes place in a circumstellar disc (protoplanetary), a natural consequence of the formation of stars. However, despite many advances in solving specific problems, the area has not yet reached a consistent theory about the formation of planetary systems. I draw philosophical reflections on the historical development of this field of scientific inquiry. Relevant philosophical takings on the problem of scientific progress are considered, mainly the classical metatheoretical proposals of Thomas Kuhn, Imre Lakatos and Larry Laudan, as well as the more recent contributions of Alan Chalmers and Susan Haack. Although the history of cosmogony is filled with theoretical dead-ends and ruptures, clues of scientific progress can be identified, especially on the last decades of the 20th century. This assessment of scientific progress in the area is formulated in opposition to the skeptical view proposed in the mid-1990s by the main historian of the topic, Stephen G. Brush. (shrink)

The conservative idea that it is a philosopher’s job to clarify common sense beliefs about ordinary concepts is being weeded out from the population and replaced by a revisionist agenda: philosophers should not merely describe but also analyze and suggest ways to improve our concepts. This project is called "conceptual engineering." The conceptual engineering literature is growing rapidly as more philosophers undertake normative conceptual work. However, many philosophers are practicing conceptual engineering untethered to an explicit methodology. Analyses addressing how we (...) should engineer a concept and what should be considered successful are scarce. The thesis of this dissertation is that Carnapian Explication solves this methodological deficiency. (shrink)

So far, various approaches have been proposed to explain the progress of science. These approaches, which fall under a fourfold classification, are as follows: semantic, functional, epistemic, and noetic approaches. Each of these approaches, based on the intended purpose of science, defines progress on the same basis. The semantic approach defines progress based on the approximation to the truth, the functional approach based on problem-solving, the epistemic approach based on knowledge accumulation, and the noetic approach based on increased understanding. With (...) a stratified description of the world, Roy Bhaskar sees science as the movement toward deeper layers aimed at discovering productive mechanisms. He also explains progress based on the layering and acquisition of knowledge of the underlying layers. But because he believes in the social nature of science and considers knowledge a social product and subject to change, he acknowledges the fallibility of cognition. Hence, it is believed that moving to a new layer does not necessarily lead to the progress of science. However, it is possible that by acquiring knowledge about the new layer, our previous knowledge will be revised and corrected. In this article, while expressing the Bhaskar theory of scientific progress and explaining its contingency with respect to the fallibility of cognition, we pursue a basic goal. This goal is summarized in the review of all four approaches in order to show their lack of attention to the fallibility of cognition and its effect on explaining progress. What has been done in this article is based on two phases: explaining the contingency of the progress of science for Bhaskar and examining the four approaches to the progress of science in order to show their inattention to the fallibility of cognition. In his philosophy, referring to the two dimensions of transitive and intransitive, Roy Bhaskar considers the purpose of science to be the acquisition of knowledge about intransitive objects, and this knowledge is achieved through a social activity. Since this cognition is a social product and belongs to the transitive dimension of science, it will be fallible and subject to change. Bhaskar concludes with philosophical arguments that the world contains generative mechanisms, but that it is the task of science to discover their nature and exactly what mechanisms are at work. This requires work in two theoretical dimensions, namely the use of conceptual tools and a practical dimension, that is, the use of experimental tools. Now, as the theoretical and technical conditions under which cognition is formed and evaluated are themselves expanding and subject to change and modification, our knowledge may also be expanded or corrected. In this study, it was found that the semantic approach is unaware of the effect of fallibility on the evidence used to estimate the approximation to the truth and, consequently, progress. The functional approach ignores this effect in solving the problems posed by theories. The epistemic approach does not take into account the fallibility of evidence used to justify and validate the evidence, and finally, the noetic approach neglects the effect of the fallibility on what the explanation and prediction are based on. These have led to these approaches, which consider the satisfaction of the criteria in question necessarily leads to progress. (shrink)