In this paper I distinguish two ways of using the expression ‘epistemological naturalism’. In one sense, naturalism amounts to a denial that epistemology should be understood as a kind of first philosophy providing the foundations for science from outside. In a second sense, naturalism holds that human knowledge is a natural phenomenon and that epistemology should be seen as a chapter of natural science. Moreover, naturalism in this second sense usually incorporates some additional specifications that build up a very restrictive (...) concept of science. Two different projects for naturalizing epistemology lie behind these two meanings of ‘naturalism’, and the two projects, although sometimes seen as complementary or even equivalent, are not necessarily so. After drawing this distinction, I set out the difficulties faced by those naturalistic stances that do not discriminate sharply enough or do not establish the appropriate hierarchical relationship between both projects. Finally, I argue for a conception of epistemology which is best described as a radical antilfoundntionnlism. This conception sticks to the requirements that follow from naturalism when understood in the first sense above, and takes the cluster of theses that give birth to the second as subsidiary and revisable. (shrink)

In recent years, many philosophers of science have rejected the “value-free ideal” for science, arguing that non-epistemic values have a legitimate role to play in scientific inquiry. However, this philosophical position raises the question of how to distinguish between legitimate and illegitimate influences of values in science. In this paper, we argue that those seeking to address this “new” demarcation problem can benefit by drawing lessons from the “old” demarcation problem, in which philosophers tried to find a way of distinguishing (...) between science and non-science. Many of those who worked on this problem ultimately found that efforts to provide necessary and sufficient conditions for defining science failed, and most concluded that the best solution to the problem was to characterize scientific hypotheses, theories, and research programs in terms of some common norms. We suggest that those seeking to distinguish between legitimate and illegitimate value influences on science would do well to adopt a similar approach. Rather than attempting to establish necessary and sufficient conditions for identifying appropriate value influences, it will be more fruitful to evaluate scientific activities based on their adherence to a set of epistemic and ethical norms that can be implemented in scientific practice by means of rules, conventions, policies, and procedures. (shrink)

This discussion adjudicates a dispute between Larry Laudan and Gerald Doppelt over the nature of methodological rules. Laudan holds that all methodological rules are hypothetical imperatives, while Doppelt argues that a subset of those rules, basic methodological standards, are not hypothetical imperatives. I argue that neither writer offers a satisfactory account of methodological rules and that their reliance on the hypothetical/nonhypothetical distinction does not advance our understanding of methodological rules. I propose that we dispense with this dubious distinction and develop (...) an alternative account of scientific norms. (shrink)

The main question of this article is given by its title: how inclusive is European philosophy of science? Phrased in this way, the question presupposes that, as a mature discipline, philosophy of science should provide an inclusive account of its subject area. I first provide an explanation of the notion of an inclusive philosophy of science. This notion of an inclusive philosophy of science is specified by discussing three general topics that seem to be missing from, or are quite marginal (...) in, restricted philosophy of science. These topics are the philosophy of historical inquiry, the role of technology in science, and the socio-political and moral dimensions of science. On this basis, I address the question whether European philosophy of science qualifies as more inclusive as compared with Anglo-American philosophy of science. (shrink)

The aim of the paper is to assess the relative merits of two formal representations of structure, namely, set theory and category theory. The purpose is to articulate ontic structural realism. In turn, this will facilitate a discussion on the strengths and weaknesses of both concepts and will lead to a proposal for a pragmatics-based approach to the question of the choice of an appropriate framework. First, we present a case study from contemporary science—a comparison of the formulation of quantum (...) mechanics in the language of Hilbert spaces and abstract C* algebras. It is then shown how the method of structural representation can be determined based on the pragmatics of goal-oriented research, not a dogmatic choice. We investigate a hypothesis stating that the use of the interplay between the powers of abstraction and detail of different representational methods results in adopting a pluralistic, as opposed to standard, unificatory, perspective on the role of structural representation in OSR. (shrink)

The similarity approach stands as a significant attempt to defend scientific realism from the attack of the pessimistic meta-induction. The strategy behind the similarity approach is to shift from an absolute notion of truth to the more flexible one of truthlikeness. Nonetheless, some authors are not satisfied with this attempt to defend realism and find that the notion of truthlikeness is not fully convincing. The aim of this paper is to analyze and understand the reasons of this dissatisfaction. Our thesis (...) is that the dissatisfaction with the notion of truthlikeness concerns the double role that this notion plays within the similarity approach: This notion plays both a regulative role in the conception of theories and a constitutive one in their selection. (shrink)

There are two motivations commonly ascribed to historical actors for taking up statistics: to reduce complicated data to a mean value (e.g., Quetelet), and to take account of diversity (e.g., Galton). Different motivations will, it is assumed, lead to different methodological decisions in the practice of the statistical sciences. Karl Pearson and W. F. R. Weldon are generally seen as following directly in Galton’s footsteps. I argue for two related theses in light of this standard interpretation, based on a reading (...) of several sources in which Weldon, independently of Pearson, reflects on his own motivations. First, while Pearson does approach statistics from this "Galtonian" perspective, he is, consistent with his positivist philosophy of science, utilizing statistics to simplify the highly variable data of biology. Weldon, on the other hand, is brought to statistics by a rich empiricism and a desire to preserve the diversity of biological data. Secondly, we have here a counterexample to the claim that divergence in motivation will lead to a corresponding separation in methodology. Pearson and Weldon, despite embracing biometry for different reasons, settled on precisely the same set of statistical tools for the investigation of evolution. (shrink)

This paper presents a program of action for the philosophy of regulatory science, based on a general theory of social epistemology. Two candidates are considered. The first one, offered by Alvin Goldman, is not fit for our purposes because it is focused on a veritism incompatible with non‐epistemic aims of regulatory science. The second, championed by Steve Fuller, sociologically investigates the existing means of producing knowledge, to modify them with the goal of obtaining democratic aims through action on a legislative (...) meta‐level. The program has been built upon this procedure, instantiated by the identification, characterization, and modification of epistemic policies. (shrink)

I present a new definition of verisimilitude, framed in terms of causes. Roughly speaking, according to it a scientific model is approximately true if it captures accurately the strengths of the causes present in any given situation. Against much of the literature, I argue that any satisfactory account of verisimilitude must inevitably restrict its judgments to context-specific models rather than general theories. We may still endorse—and only need—a relativized notion of scientific progress, understood now not as global advance but rather (...) as the mastering of particular problems. This also sheds new light on longstanding difficulties surrounding language-dependence and models committed to false ontologies. (shrink)

While most philosophers of science agree that science is, perhaps in many ways, a highly successful enterprise, there is no consensus about the best way of defining and measuring this success. Philosophers are also divided in their views about two further issues: What does the success of a scientific theory indicate? What is the best way of explaining this success?After some remarks about institutional and pragmatic measures of success, this paper concentrates on rival ways of defining cognitive success. Four realist (...) measures of epistemic credit are discussed: probability, confirmation (corroboration), expected verisimilitude, and probable verisimilitude. Laudan’s non-realist concept of the problem-solving effectiveness of a theory is compared to Hempel’s notion of systematic power. I argue that such truth-independent concepts alone are insufficient to characterize scientific advance. But if they are used as truth-dependent epistemic utilities, they serve as fallible indicators of the truth or truthlikeness of a theory. (shrink)

Charles S. Peirce argued that, besides deduction and induction, there is a third mode of inference which he called " hypothesis " or " abduction." He characterized abduction as reasoning " from effect to cause," and as " the operation of adopting an explanatory hypothesis." Peirce ' s ideas about abduction, which are related also to historically earlier accounts of heuristic reasoning, have been seen as providing a logic of scientific discovery. Alternatively, abduction is interpreted as giving reasons for pursuing (...) a hypothesis. Inference to the best explanation has also been regarded as an important mode of justification, both in everyday life, detective stories, and science. In particular, scientific realism has been defended by an abductive nomiracle argument, while the critics of realism have attempted to show that this appeal to abduction is question - begging, circular, or incoherent. This paper approaches these issues by distinguishing weaker and stronger forms of abduction, and by showing how these types of inferences can be given Peircean and Bayesian probabilistic reconstructions. (shrink)

The relationship between Peircean abduction and the modern notion of Inference to the Best Explanation is a matter of dispute. Some philosophers, such as Harman :88–95, 1965) and Lipton, claim that abduction and IBE are virtually the same. Others, however, hold that they are quite different :503, 1998; Minnameier in Erkenntnis 60:75–105, 2004) and there is no link between them :419–442, 2009). In this paper, I argue that neither of these views is correct. I show that abduction and IBE have (...) important similarities as well as differences. Moreover, by bringing a historical perspective to the study of the relationship between abduction and IBE—a perspective that is lacking in the literature—I show that their differences can be well understood in terms of two historic developments in the history of philosophy of science: first, Reichenbach’s distinction between the context of discovery and the context of justification—and the consequent jettisoning of the context of discovery from philosophy of science—and second, underdetermination of theory by data. (shrink)

Alexander Bird argues for an epistemic account of scientific progress, whereas Darrell Rowbottom argues for a semantic account. Both appeal to intuitions about hypothetical cases in support of their accounts. Since the methodological significance of such appeals to intuition is unclear, I think that a new approach might be fruitful at this stage in the debate. So I propose to abandon appeals to intuition and look at scientific practice instead. I discuss two cases that illustrate the way in which scientists (...) make judgments about progress. As far as scientists are concerned, progress is made when scientific discoveries contribute to the increase of scientific knowledge of the following sorts: empirical, theoretical, practical, and methodological. I then propose to articulate an account of progress that does justice to this broad conception of progress employed by scientists. I discuss one way of doing so, namely, by expanding our notion of scientific knowledge to include both know-that and know-how. (shrink)

In their attempt to defend philosophy from accusations of uselessness made by prominent scientists, such as Stephen Hawking, some philosophers respond with the charge of ‘scientism.’ This charge makes endorsing a scientistic stance, a mistake by definition. For this reason, it begs the question against these critics of philosophy, or anyone who is inclined to endorse a scientistic stance, and turns the scientism debate into a verbal dispute. In this paper, I propose a different definition of scientism, and thus a (...) new way of looking at the scientism debate. Those philosophers who seek to defend philosophy against accusations of uselessness would do philosophy a much better service, I submit, if they were to engage with the definition of scientism put forth in this paper, rather than simply make it analytic that scientism is a mistake. (shrink)

In this article, through a critical examination of K. Brad Wray's version of the argument from underconsideration against scientific realism, I articulate a modest version of scientific realism. This modest realist position, which I call ‘relative realism’, preserves the scientific realist's optimism about science's ability to get closer to the truth while, at the same time, taking on board the antirealist's premise that theory evaluation is comparative, and thus that there are no good reasons to think that science's best theories (...) are close to the truth. (shrink)

[full article, abstract in English; only abstract in Lithuanian] In Normativity of Scientific Laws explicit and implicit normativities were discerned and it was shown, following Joseph Rouse, that scientific laws implicitly harbour what Alchourrón and Bulygin imply to be the core of normativity. Here I develop this claim by discerning six aspects of implicit normativity in scientific laws: general and special conceptual normativity, concerning analytical thinking and special scientific terminologies; theoretical and material epistemic normativity, concerning mathematical and experimental accountability of (...) the world; narrow and broad practical normativity, concerning technologies in both narrower and broader senses. (shrink)

Nursing as a profession has a social mandate to contribute to the good of society through knowledge-based practice. Knowledge is built upon theories, and theories, together with their philosophical bases and disciplinary goals, are the guiding frameworks for practice. This article explores a philosophical perspective of nursing's social mandate, the disciplinary goals for the good of the individual and society, and one approach for translating knowledge into practice through the use of a middle-range theory. It is anticipated that the integration (...) of the philosophical perspective and model into nursing practice will strengthen the philosophy, disciplinary goal, theory, and practice links and expand knowledge within the discipline. With the focus on humanization, we propose that nursing knowledge for social good will embrace a synthesis of the individual and the common good. This approach converges vital and agency needs described by Hamilton and the primacy of maintaining the heritage of the good within the human species as outlined by Maritain. Further, by embedding knowledge development in a changing social and health care context, nursing focuses on the goals of clinical reasoning and action. McCubbin and Patterson's Double ABCX Model of Family Adaptation was used as an example of a theory that can guide practice at the community and global level. Using the theory-practice link as a foundation, the Double ABCX model provides practising nurses with one approach to meet the needs of individuals and society. The integration of theory into nursing practice provides a guide to achieve nursing's disciplinary goals of promoting health and preventing illness across the globe. When nursing goals are directed at the synthesis of the good of the individual and society, nursing's social and moral mandate may be achieved. (shrink)

Science strives for coherence. For example, the findings from climate science form a highly coherent body of knowledge that is supported by many independent lines of evidence: greenhouse gas emissions from human economic activities are causing the global climate to warm and unless GHG emissions are drastically reduced in the near future, the risks from climate change will continue to grow and major adverse consequences will become unavoidable. People who oppose this scientific body of knowledge because the implications of cutting (...) GHG emissions—such as regulation or increased taxation—threaten their worldview or livelihood cannot provide an alternative view that is coherent by the standards of conventional scientific thinking. Instead, we suggest that people who reject the fact that the Earth’s climate is changing due to greenhouse gas emissions oppose whatever inconvenient finding they are confronting in piece-meal fashion, rather than systematically, and without considering the implications of this rejection to the rest of the relevant scientific theory and findings. Hence, claims that the globe “is cooling” can coexist with claims that the “observed warming is natural” and that “the human influence does not matter because warming is good for us.” Coherence between these mutually contradictory opinions can only be achieved at a highly abstract level, namely that “something must be wrong” with the scientific evidence in order to justify a political position against climate change mitigation. This high-level coherence accompanied by contradictory subordinate propositions is a known attribute of conspiracist ideation, and conspiracism may be implicated when people reject well-established scientific propositions. (shrink)

The present paper concerns how scientific realism is formulated and defended. It is argued that van Fraassen is fundamentally right that scientific realism requires metaphysics in general, and modality in particular. This is because of several relationships that raise problems for the ontology of scientific realism, namely those between: scientific realism and common sense realism; past and current theories; the sciences of different scales; and the ontologies of the special sciences and fundamental physics. These problems are related. It is argued (...) that ontic structural realism, in the form of the real-patterns account of ontology, offers a unified solution to them all. (shrink)

This article deals with the problematic concepts of the rational and the social, which have been typically seen as dichotomous in the history and philosophy of science literature. I argue that this view is mistaken and that the social can be seen as something that enables rationality in science, and further, that a scientific community as well as an individual can be taken as an epistemic subject. Furthermore, I consider how scientific communities could be seen as freely acting and choosing (...) agents. Fundamentally, this boils down to the question whether we accept the voluntarist conception of human beings, one consequence of which is that scientists possess, in principle, the capacity for deliberative reflection and choice. If this is accepted, we can talk about the degrees of autonomy that communities possess. I also examine what kinds of decisions an autonomous community should make in order to produce objective knowledge. My suggestion is that objectivity be understood as intersubjectivity: a view is objective when it has been exposed to critical reflection from various points of view, and due to this, transcends subjective idiosyncrasies. (shrink)

In this essay, I provide normative guidelines for developing a philosophically interesting and plausible version of social constructivism as a philosophy of science, wherein science aims for social-epistemic values rather than for truth or empirical adequacy. This view is more plausible than the more radical constructivist claim that scientific facts are constructed. It is also more interesting than the modest constructivist claim that representations of such facts emerge in social contexts, as it provides a genuine rival to the scientific axiologies (...) of scientific realists and constructive empiricists. I further contrast my view with positions holding that the aims of science are context dependent, that the unit of normative analysis is the scientific community, and that the aims of science are non-epistemic social values. (shrink)

The underconsideration argument against inference to the best explanation and scientific realism holds that scientists are not warranted in inferring that the best theory is true, because scientists only ever conceive of a small handful of theories at one time, and as a result, they may not have considered a true theory. However, antirealists have not developed a detailed alternative account of why explanatory inference nevertheless appears so central to scientific practice. In this paper, I provide new defences against some (...) recent objections to the underconsideration argument, while also developing an account of explanatory inference that both survives these criticisms and does not entail realism. (shrink)

Sandra Harding is working on the reconstruction of scientific objectivity. Lorraine Daston argues that objectivity is a concept that has historically evolved. Her account of the development of "aperspectival objectivity" provides an opportunity to see Harding's "strong objectivity" project as a stage in this evolution, to locate it in the history of migration of ideals from moral philosophy to natural science, and to support Harding's desire to retain something of the ontological significance of objectivity.

Epistemic consequentialism is the view that epistemic goodness is more fundamental than epistemic rightness. This paper examines the relationship between epistemic consequentialism and theistic belief. I argue that, in an epistemic consequentialist framework, there is an epistemic reason to believe in God. Imagine having an unlimited amount of time to ask an omniscient being anything you wanted. The potential epistemic benefits would be enormous. Considerations like these point to an epistemic version of Pascal’s wager. I compare and contrast the epistemic (...) wager with the traditional wager, and argue that the epistemic wager has several notable advantages. (shrink)

Cognitive values like simplicity, broad scope, and easy handling are properties of a scientific representation that result from the idealization which is involved in the construction of a representation. These properties may facilitate the application of epistemic values to credibility assessments, which provides a rationale for assigning an auxiliary function to cognitive values. In this paper, I defend a further rationale for cognitive values which consists in the assessment of the usefulness of a representation. Usefulness includes the relevance of a (...) representation regarding the investigation of a given problem and its practicability for the users. This rationale builds on the claim that any evaluation of scientific representations should pursue two aims: providing information about their credibility and providing information about their usefulness. Cognitive values relating to the usefulness of a representation and epistemic values relating to its credibility both perform a first-order function. Cognitive values are abstract, and several values with first-order functions may conflict in their application. Thus, in order for cognitive values to account for the sort of problem that is to be investigated by means of a representation, they need to be appropriately specified and weighed. Comprehensiveness, complexity, high resolution, and easy handling, for instance, may be required in a first-order function for model-based prediction of regional climate impacts but not for explaining how the global climate system works. Specifying and weighing cognitive and epistemic values relative to a given problem is a legitimate second-order function of social values. (shrink)

In arguing a "role for history," Kuhn was proposing a naturalized philosophy of science. That, I argue, is the only viable approach to the philosophy of science. I begin by exhibiting the main general objections to a naturalistic approach. These objections, I suggest, are equally powerful against nonnaturalistic accounts. I review the failure of two nonnaturalistic approaches, methodological foundationism (Carnap, Reichenbach, and Popper) and metamethodology (Lakatos and Laudan). The correct response, I suggest, is to adopt an "evolutionary perspective." This perspective (...) is defended against one recent critic (Putnam). To argue the plausibility of a naturalistic approach, I next sketch a naturalistic account of theories and of theory choice. This account is then illustrated by the recent revolution in geology. In conclusion I return to Kuhn's question about the role of history in developing a naturalistic theory of science. (shrink)

A consensus has recently emerged concerning the role of values in scientific inquiry. The idea that science is value-laden has been elaborated by writers as diverse as Kuhn, McMullin, Hempel, Putnam, Laudan, Feyerabend, Scriven, and Graham.1 Although they all agree that values, value judgment, and evaluation play an important role in science, their emphases and their arguments are different. In fact, I believe that enough work has been done, and enough issues have been raised, that it is becoming increasingly useful (...) and instructive to discuss and explore further the main issues that divide this group of thinkers.One of these issues is whether it is advisable to treat as a value any type of controversial position, such as belief in God or the thesis of metaphysical materialism; some writers do this, but it is questionable whether it is useful to mix together such disparate items.2. (shrink)

In my contribution to this special issue, I draw attention to the topic of the imagination at the interface of modern science and Christian theology. The paper entertains in critical perspective the notion that language divides, while the imagination unites. While the paper is intended to be explorative, a clear thesis emerges: in its commitment to consilience, Christian theology is directed to the imagination under the pressure of the pluralizing effects of a reason that is constrained by language.

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)