Introduction to Synthese SI: Systematicity: The Nature of Science?

Business Ethics: A European Review, EarlyView.

Research seeking to explain the perpetration of violence and atrocities by humans against other humans offers both social and individualistic explanations, which differ namely in the roles attributed to empathy. Prominent social models suggest that some manifestations of inter-human violence are caused by parochial attitudes and obedience reinforced by within-group empathy. Individualistic explanations of violence, by contrast, posit that stable intra-individual characteristics of the brain and personality of some individuals lead them to commit violence and atrocities. An individualistic explanation argues (...) that the chief cause of violence is the perpetrator’'s lack of empathy with the victim. To offer the rudiments of a critique of the individualistic approach, I critically examine a model stating that violence is caused by empathy erosion. Specifically, the discussion of the empathy-erosion model is applied to the case of honour-based violence, a type of violence known for its communal character. Building from prior enquiries into violence and social cognition, I argue that an empathy-erosion explanation of HBV is defective because it does not consider important cultural and historical enablers of violence. Finally, as an alternative to individualism, I propose a psychohistorical approach to HBV in the migration context. This alternative combines psychological and philosophical enquiry with historical and ethnographical analysis. The psychohistorical approach hypothesises that distinct processes of cultural learning of honour codes both scaffold HBV and modulate the perpetrators’ emotions and empathy. (shrink)

Artificial intelligence receives attention in media as well as in academe and business. In media coverage and reporting, AI is predominantly described in contrasted terms, either as the ultimate solution to all human problems or the ultimate threat to all human existence. In academe, the focus of computer scientists is on developing systems that function, whereas philosophy scholars theorize about the implications of this functionality for human life. In the interface between technology and philosophy there is, however, one imperative aspect (...) of AI yet to be articulated: how do intelligent systems make inferences? We use the overarching concept “Artificial Intelligent Behaviour” which would include both cognition/processing and judgment/behaviour. We argue that due to the complexity and opacity of artificial inference, one needs to initiate systematic empirical studies of artificial intelligent behavior similar to what has previously been done to study human cognition, judgment and decision making. This will provide valid knowledge, outside of what current computer science methods can offer, about the judgments and decisions made by intelligent systems. Moreover, outside academe—in the public as well as the private sector—expertise in epistemology, critical thinking and reasoning are crucial to ensure human oversight of the artificial intelligent judgments and decisions that are made, because only competent human insight into AI-inference processes will ensure accountability. Such insights require systematic studies of AI-behaviour founded on the natural sciences and philosophy, as well as the employment of methodologies from the cognitive and behavioral sciences. (shrink)

Environmental philosophers have argued that Kant’s philosophy offers little for environmental issues. Furthermore, Kant scholars typically focus on humanity, ignoring the question of duties to the environment. In my dissertation, I turn to a number of underexploited texts in Kant’s work to show how both sides are misguided in neglecting the ecological potential of Kant, making the case for the green Kant at the intersection of Kant scholarship and environmental ethics. I build upon previous literature to argue that the green (...) Kant matters for both sides. Rather than a liability, Kant is indeed a conceptual resource. Though many conceive of Kant’s philosophy as environmentally problematic, I argue that underappreciated evolutionary, aesthetic, and holistic sides of Kant’s philosophy can provide conceptual resources for issues in climate change and environmental ethics. Some aspects, such as the pre-critical view of nature, are quite green and merely require an application, while others, such as Kant’s philosophy of history, require a green appropriation to be relevant. The theoretical foundations I develop in these texts will allow Kantians to articulate duties regarding nature and duties for sustainability. This re-thinking of Kant redresses the complaints environmental thinkers hold against Kant. By means of a philosophical interpretation, defense, and application of particular texts from Kant’s works such as Universal Natural History, Critique of Judgment, and Idea for a Universal History, I show how the greening of Kant is not only helpful for contemporary issues, but also defensible. This will make the green Kant agreeable to Kant scholars yet all the while relevant for today with regard to environmental ethics and, more importantly, climate change. (shrink)

It is often argued that while biases routinely influence the generation of scientific theories, a subsequent rational evaluation of such theories will ensure that biases do not affect which theories are ultimately accepted. Against this line of thought, this paper shows that the existence of certain kinds of biases at the generation-stage implies the existence of biases at the evaluation-stage. The key argumentative move is to recognize that a scientist who comes up with a new theory about some phenomena has (...) thereby gained an unusual type of evidence, viz. information about the space of theories that could be true of the phenomena. It follows that if there is bias in the generation of scientific theories in a given domain, then the rational evaluation of theories with reference to the total evidence in that domain will also be biased. (shrink)

This paper introduces and defends an account of model-based science that I dub model pluralism. I argue that despite a growing awareness in the philosophy of science literature of the multiplicity, diversity, and richness of models and modeling practices, more radical conclusions follow from this recognition than have previously been inferred. Going against the tendency within the literature to generalize from single models, I explicate and defend the following two core theses: any successful analysis of models must target sets of (...) models, their multiplicity of functions within science, and their scientific context and history and for almost any aspect x of phenomenon y, scientists require multiple models to achieve scientific goal z. (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.

The aim of the paper is to clarify the concept of scientific ignorance: what is it, what are its sources, and when is it epistemically detrimental for science. I present a taxonomy of scientific ignorance, distinguishing between intrinsic and extrinsic sources. I argue that the latter can create a detrimental epistemic gap, which have significant epistemic and social consequences. I provide three examples from medical research to illustrate this point. To conclude, I claim that while some types of scientific ignorance (...) are inevitable and even desirable, other types of scientific ignorance are epistemically and ethically flawed and should be prevented. (shrink)

Computer simulation of an epistemic landscape model, modified to include explicit representation of a centralized funding body, show the method of funding allocation has significant effects on communal trade-off between exploration and exploitation, with consequences for the community’s ability to generate significant truths. The results show this effect is contextual, and depends on the size of the landscape being explored, with funding that includes explicit random allocation performing significantly better than peer review on large landscapes. The article proposes a way (...) of incorporating external institutional factors in formal social epistemology, and offers a way of bringing such investigations to bear on current research policy questions. 1Introduction2Theoretical Background3Model Description4Simulation Details 4.1Simulating the epistemic landscape4.2Simulating agents4.3Simulating communal knowledge4.4Simulating funding strategies4.5Simulating merit dynamics5Results and Discussion 5.1Experiment 1: The winner-takes-it-all mechanism only5.2Experiment 2: All dynamic mechanisms5.3Experiment 3: Adding a new funding mechanism 5.4Experiment 4: Varying the degree of myopia5.5Experiment 5: Variability of individual epistemic gain5.6Experiment 6: Likelihood of renewal6Discussion7Conclusion. (shrink)

While in medicine, comparison of the data supplied by a clinical syndrome with the data supplied by the biological system is used to arrive at the most accurate diagnosis, the same cannot be said of financial economics: the accumulation of statistical results that contradict the Brownian hypothesis used in risk modelling, combined with serious empirical problems in the practical implementation of the Black-Scholes-Merton model, the benchmark theory of mathematical finance founded on the Brownian hypothesis, has failed to change the Brownian (...) representation, which has endured for more than fifty years despite the extent of its invalidation by experience. Without any statistical foundations, one mathematical representation has become the established approach, acting in the minds of practitioners as a “prenotion” in the sense the word is used by Durkheim, i.e. a “schematic, summary representation” which has produced a kind of spontaneous epistemology. The question arises of the persistence of this mathematical representation, which has been the basis for every financial risk modelling approach: how can its long life be explained? How was this spontaneous epistemology formed, and why did it prove to be so persistent? To address this question and offer an answer, I will test the various dynamics of scientific knowledge used with reference to financial modelling. All these dynamics are specific ways of describing the relationship between knowledge of a phenomenon and the phenomenon itself. Observing that it is impossible for the positivist approach to solve the financial puzzle, I turn to the three principal postpositivist dynamics, developed by Kuhn, Lakatos and Quine. I shall try to make to speak these representations of science for financial research, in order to reflect on the dominance of the Brownian representation in finance. We shall see that none of the epistemologies examined can explain why the Brownian representation continues to be used in mathematical finance research. I shall then propose an alternative hypothesis, concerning a significant pervading mental model that has irrigated both academics and practitioners in the financial sector: the “principle of continuity” introduced into economics by Marshall in. I consider that this principle of continuity has become a “persistent idea” in the form of a viral approach to representations, and I give this persistent idea the metaphorical name of the “Brownian virus”. Then, to explain the spread of this Brownian virus through the financial sector, the contamination of financial practices by this mental representation founded on the principle of continuity, I introduce the concept of the “financial Logos”, a discourse that structures practices and organisations, calculations, prudential regulations and accounting standards, leading to a general financialisation of society from the 1980s onwards. (shrink)

The article focuses on the analysis of curriculum documents from Taiwan to investigate how benchmarks for learning nature of science are positioned in different versions of the science curricula. Following a review of different approaches to the conceptualization of NOS and the role of NOS in promoting scientific literacy, an empirical study is reported to illustrate how the science curriculum documents represent different aspects of NOS. The article uses the family resemblance approach as the account of NOS and adapts it (...) for analysis of the curriculum documents. The FRA defines NOS as cognitive-epistemic and social-institutional systems that serve as constructs of knowledge categories with a high level of interconnectedness. The FRA was used as an analytical tool for investigating two sets of Taiwanese curriculum guidelines published 10 years apart, providing an opportunity to discuss how NOS is addressed in the curriculum reforms. The findings show a shift away from the excessive centralization of the cognitive-epistemic system to a consideration of the social-institutional system. Modifications to the benchmarks are proposed in order to achieve a more holistic and progressive approach to NOS. The article contributes to studies on NOS in science education by illustrating how the FRA can act as a tool for exploring interconnectedness of NOS ideas in the curriculum. (shrink)

Despite its long tradition in social psychology, we consider that Cognitive Dissonance Theory presents serious flaws concerning its methodology which question the relevance of the theory, limit breakthroughs, and hinder the evaluation of its core hypotheses. In our opinion, these issues are mainly due to operational and methodological weaknesses that have not been sufficiently addressed since the beginnings of the theory. We start by reviewing the ambiguities concerning the definition and conceptualization of the term cognitive dissonance. We then review the (...) ways it has been operationalized and we present the shortcomings of the actual paradigms. To acquire a better understanding of the theory, we advocate a stronger focus on the nature and consequences of the cognitive dissonance state itself. Next, we emphasize the actual lack of standardization, both in the ways to induce cognitive dissonance and to assess it, which impairs the comparability of the results. Last, in addition to reviewing these limits, we suggest new ways to improve the methodology and we conclude on the importance for the field of psychology to take advantage of these important challenges to go forwards. (shrink)

What drives moral revolutions like the legal abolition of slavery and women’s right to vote? The importance of having an answer to this question lies in the hope of it being able to help us create moral progress in the future. This can be changing harmful practices and traditions like honour killing, child marriage, genital mutilation and political corruption. Furthermore, a wrong or insufficient picture of the dynamics of change, held by e.g. politicians or NGOs and incorporated into laws and (...) institutions, can lead to misfired inventions, wasted resources and possibly human harm. If we lack conceptual clarity and empirical insights, we will have trouble making good decisions. However, before answering the above question we need to consider what answering it entails. This article therefore discusses which form an understanding of the dynamics of moral revolutions should take in order to best help us create progress. I do so by critically investigating one currently dominant way of approaching this issue, namely the idea that we should produce a general explanatory theory of the fundamental dynamics of change. In order to expose the problems in this approach, I engage with a contemporary example of it, namely Appiah’s work on moral revolutions, and demonstrate that honour codes cannot have the explanatory role, which Appiah claims for them. The article concludes by pointing to alternative models of understanding the dynamics of moral revolutions and changes. (shrink)

Lexical evidence reveals that ordinary notions of space underwent a dramatic change from the late seventeenth century into the first decades of the nineteenth century: the word’s core meaning metamorphosed from INTERVAL to DIMENSION, revolutionizing relations between ordinary conceptions of time and space. Analyzing instances of the word in French over the years 1330–1835 indicates this conceptual change of SPACE was concurrent with growing interest in metaphysics and natural philosophy and echoed debates—provoked by Newton’s Principia (1687)—over the precise nature of (...) space. Employing both quantitative and qualitative methodologies, I show how changes in philosophical and scientific theory reshaped the general lexicon. I argue that ordinary lexical mechanisms largely determine the manner of science’s dissemination into culture and propose a model accounting for such changes. (shrink)

Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to identify and (...) control for the types of methodological and inferential errors. Consequently, this makes it possible for researchers to represent and investigate cognitive phenomena in terms of hemodynamic data and for experimental knowledge to grow independently of large scale theories of cognition. (shrink)

The Minimum Description Length principle is the modernformalisation of Occam's razor. It has been extensively and successfullyused in machine learning, especially for noisy and long sources ofdata. However, the MDL principle presents some paradoxes andinconveniences. After discussing all these, we address two of the mostrelevant: lack of explanation and lack of creativity. We present newalternatives to address these problems. The first one, intensionalcomplexity, avoids extensional parts in a description, so distributingcompression ratio in a more even way than the MDL principle. (...) The secondone, information gain, forces that the hypothesis is informative wrt. the evidence, so giving a formaldefinition of what is to discover. (shrink)

While Plantinga has famously argued that acceptance of neo-Darwinian theory commits one to the rejection of naturalism, Plantinga’s argument is vulnerable to an objection developed by Evan Fales. Not only does Fales’ objection undermine Plantinga’s original argument, it establishes a general challenge which any attempt to revitalize Plantinga’s argument must overcome. After briefly laying out the contours of this challenge, we attempt to meet it by arguing that because a purely naturalistic account of our etiology cannot explain the correlation between (...) our preference for simplicity and simplicity’s ability to serve as a veridical method of theory selection, the scientific realist is committed to the rejection of naturalism. (shrink)

It seems natural to think that Carnapian explication and experimental philosophy can go hand in hand. But what exactly explicators can gain from the data provided by experimental philosophers remains controversial. According to an influential proposal by Shepherd and Justus, explicators should use experimental data in the process of ‘explication preparation’. Against this proposal, Mark Pinder has recently suggested that experimental data can directly assist an explicator’s search for fruitful replacements of the explicandum. In developing his argument, he also proposes (...) a novel aspect of what makes a concept fruitful, namely, that it is taken up by the relevant community. In this paper, I defend explication preparation against Pinder’s objections and argue that his uptake proposal conflates theoretical and practical success conditions of explications. Furthermore, I argue that Pinder’s suggested experimental procedure needs substantial revision. I end by distinguishing two kinds of explication projects, and showing how experimental philosophy can contribute to each of them. (shrink)

Nickles (2016, 2017, forthcoming) raises many original objections against scientific realism. One of them holds that scientific realism originates from the end of history illusion. I reply that this objection is self-defeating and commits the genetic fallacy. Another objection is that it is unknowable whether our descendants will regard our current mature theories as true or false. I reply that this objection entails skepticism about induction, leading to skepticism about the world, which is inconsistent with the appeal to the end (...) of history illusion. Finally, I argue that we have an inductive rationale for thinking that our descendants will regard our current mature theories as true. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

Louis Pasteur’s defeat of belief in spontaneous generation has been a classical rationalist example of how the experimental approach of modern science can reveal superstition. Farley and Geison told a counter-story of how Pasteur’s success was due to political and ideological support rather than superior experimental science. They claimed that Pasteur violated proper norms of scientific method, and that the French Academy of Science did not see this, or did not want to. Farley and Geison argued that Pouchet’s experiments were (...) as valid as those of Pasteur. In this paper I argue that the core of the scientific debate was not general theories for or against spontaneous generation but the outcome of specific experiments. It was on the conduct of these experiments that the Academy made judgements favorable to Pasteur. Claude Bernard was a colleague of Pasteur, supportive and sometimes critical. I argue that Bernard’s fact-oriented methodology of “experimental medicine” is a better guide to explaining the controversy than the hypothetic-deductive view of scientific method typical of logical empiricism. (shrink)

This book addresses key conceptual issues relating to the modern scientific and engineering use of computer simulations. It analyses a broad set of questions, from the nature of computer simulations to their epistemological power, including the many scientific, social and ethics implications of using computer simulations. The book is written in an easily accessible narrative, one that weaves together philosophical questions and scientific technicalities. It will thus appeal equally to all academic scientists, engineers, and researchers in industry interested in questions (...) related to the general practice of computer simulations. (shrink)

Bradford Hill (1965) highlighted nine aspects of the complex evidential situation a medical researcher faces when determining whether a causal relation exists between a disease and various conditions associated with it. These aspects are widely cited in the literature on epidemiological inference as justifying an inference to a causal claim, but the epistemological basis of the Hill aspects is not understood. We offer an explanatory coherentist interpretation, explicated by Thagard's ECHO model of explanatory coherence. The ECHO model captures the complexity (...) of epidemiological inference and provides a tractable model for inferring disease causation. We apply this model to three cases: the inference of a causal connection between the Zika virus and birth defects, the classic inference that smoking causes cancer, and John Snow’s inference about the cause of cholera. (shrink)

The paper explores the relativistic implications of the thesis of incommensurability. A semantic form of incommensurability due to semantic variation between theories is distinguished from a methodological form due to variation in methodological standards between theories. Two responses to the thesis of semantic incommensurability are dealt with: the first challenges the idea of untranslatability to which semantic incommensurability gives rise; the second holds that relations of referential continuity eliminate semantic incommensurability. It is then argued that methodological incommensurability poses little risk (...) to the rationality or objectivity of science. For rational theory choice need neither be dictated by an algorithm nor governed by a binding set of rules. The upshot of the discussion is deflationary. There is little prospect for a relativistic conception of science based on inflated claims about the incommensurability of scientific theories. (shrink)

Recent debates between proponents of the modern evolutionary synthesis (the standard model in evolutionary biology) and those of a possible extended synthesis are a good example of the fascinating tangle among empirical, theoretical, and conceptual or philosophical matters that is the practice of evolutionary biology. In this essay, we briefly discuss two case studies from this debate, highlighting the relevance of philosophical thinking to evolutionary biologists in the hope of spurring further constructive cross-pollination between the two fields.

In times of crisis, when current theories are revealed as inadequate to task, and new physics is thought to be required—physics turns to re-evaluate its principles, and to seek new ones. This paper explores the various types, and roles of principles that feature in the problem of quantum gravity as a current crisis in physics. I illustrate the diversity of the principles being appealed to, and show that principles serve in a variety of roles in all stages of the crisis, (...) including in motivating the need for a new theory, and defining what this theory should be like. In particular, I consider: the generalised correspondence principle, UV-completion, background independence, and the holographic principle. I also explore how the current crisis fits with Friedman’s view on the roles of principles in revolutionary theory-change, finding that while many key aspects of this view are not represented in quantum gravity, the view could potentially offer a useful diagnostic, and prescriptive strategy. This paper is intended to be relatively non-technical, and to bring some of the philosophical issues from the search for quantum gravity to a more general philosophical audience interested in the roles of principles in scientific theory-change. (shrink)

This is a book review of Errol Morris's book on Kuhn, The Ashtray (Or the Man Who Denied Reality).

ABSTRACTIn traditional Maori discourse, the division between metaphysical concepts and everyday life was non-existent. Because of that lack of delineation, the perception of objects was governed by certain beginning assumptions. Due to colonization, however, entities—and the conception of them—threaten to become unmoored from their primordiality. One example of this tendency lies in the current and common translation of the Maori term IRA as “gene.” This static casting of the erstwhile fluid nature of the phenomenon that IRA indicated has consequences not (...) only for how one perceives the world but, additionally, for both the self and the thing itself. In this article I propose a phenomenological approach to the term IRA, another definition for which is the interjectory “look!” I argue for an interpretation of IRA in light of a Maori metaphysics—one that governs the inherent fluidity of things and the concomitant tentative representation of those things. (shrink)

Magnus and Callender argue that we ought to focus on retail arguments, which are arguments regarding the existence of particular kinds of theoretical entities, as opposed to theoretical entities in general. However, scientists are the ones who put forward retail arguments, and it’s unclear how philosophers can engage with such arguments. We argue that philosophers can engage with retail arguments by providing criteria that they must satisfy in order to demonstrate the existence of theoretical entities. We put forward experimental individuation (...) as such a criterion---when scientists experimentally individuate an entity, a realist conclusion about that entity is warranted. (shrink)

In response to widespread doubts among professional philosophers (Russell, Horwich, Dietrich, McGinn, Chalmers), Stoljar argues for a ‘reasonable optimism’ about progress in philosophy. He defends the large and surprising claim that ‘there is progress on all or reasonably many of the big questions.’ However, Stoljar’s caveats and admitted avoidance of historical evidence permits overlooking persistent controversies in philosophy of mind and cognitive science that are essentially unchanged since the 17th Century. Stoljar suggests that his claims are commonplace in philosophy departments (...) and, indeed, the evidence I adduce constitutes an indictment of the widely shared view among professional analytic philosophers. (shrink)

In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...) to show how modeling has progressed over the years. The methodological assumptions of new modeling work are best understood in the mechanistic framework, which is evidenced by the way in which models are empirically validated. Moreover, the methodological and theoretical progress in computational neuroscience vindicates the new mechanistic approach to explanation, which, at the same time, justifies the best practices of computational modeling. Overall, computational modeling is deservedly successful in cognitive science. Its successes are related to deep conceptual connections between cognition and computation. Computationalism is not only here to stay, it becomes stronger every year. (shrink)

Words change meaning over time. Some meaning shift is accompanied by a corresponding change in subject matter; some meaning shift is not. In this paper I argue that an account of linguistic meaning can accommodate the first kind of case, but that a theory of concepts is required to accommodate the second. Where there is stability of subject matter through linguistic change, it is concepts that provide the stability. The stability provided by concepts allows for genuine disagreement and ameliorative change (...) in the context of conceptual engineering. (shrink)

In this paper I criticize the current standards for the acceptability of expert testimony in current US legislation. The standards have been the subject of much academic literature after the Frye and Daubert cases. I expose what I call the Paradox of Proof, and argue that the historical and current standards have sidestepped the problem of determining who is an expert and who is not in a court of law. I then investigate the problem of recognizing expertise from the layperson’s (...) standpoint, and suggest what courses of action the future research ought to take on the problem of identifying expertise. (shrink)

Creativity is typically defined as a disposition to produce valuable ideas. We argue that this is a mistake and defend a new definition of creativity in terms of the imagination. It follows that creativity has instrumental value at most and then only in the right circumstances. We consider the role of tradition and judgment in worthwhile creativity and argue that there is frequently a tension between greater creativity and the production of value.

Scientists are constantly making observations, carrying out experiments, and analyzing empirical data. Meanwhile, scientific theories are routinely being adopted, revised, discarded, and replaced. But when are such changes to the content of science improvements on what came before? This is the question of scientific progress. One answer is that progress occurs when scientific theories ‘get closer to the truth’, i.e. increase their degree of truthlikeness. A second answer is that progress consists in increasing theories’ effectiveness for solving scientific problems. A (...) third answer is that progress occurs when the stock of scientific knowledge accumulates. A fourth and final answer is that scientific progress consists in increasing scientific understanding, i.e. the capacity to correctly explain and reliably predict relevant phenomena. This paper compares and contrasts these four accounts of scientific progress, considers some of the most prominent arguments for and against each account, and briefly explores connections to different forms of scientific realism. (shrink)

Incommensurability may be regarded as driving specialisation, on the one hand, and as posing some problems to interdisciplinarity, on the other hand. It may be argued, however, that incommensurability plays no role in either specialisation or interdisciplinarity. Scientific specialties could be defined as simply 'different' (that is, about different things), rather than 'incommensurable' (that is, competing for the explanation of the same phenomena). Interdisciplinarity could be viewed as the co- ordinated effort of scientists possessing complemetary and interlocking skills, and not (...) as the overcoming of some sort of incommensurable divide. This article provides a comprehensive evaluative examination of the relations between specialisation, interdisciplinarity, and incommensurability. Its aim is to defend the relevance of incommensurability to both specialisation and interdisciplinarity. At the same time, it aims at correcting the tendency, common among many philosophers, to regard incommensurability in a restrictive manner - such as, for example, as an almost purely semantic issue. (shrink)

Paul Feyerabend once made a remark to the effect that his pragmatic theory of observation can be traced back to proposals put forward by leading Logical Empiricists during the height of the protocol sentence debate. In this paper I want to vindicate the systematic side of Feyerabend’s remark and show that a pragmatic theory of observation can in fact be found in Rudolf Carnap’s writings of 1932. I first proceed to dispel a misunderstanding concerning the term “pragmatic” raised by Thomas (...) Oberdan. Following Morris’ and Carnap’s documented usage, I show that the intended meaning of “pragmatic” refers to a specific semiotic relation between users of a language and their environment describable by empirical means. I reconstruct such a pragmatic theory in terms of a detector model that interprets observation sentences as bodily dispositions indicating physical events in the surroundings of the detector. I then proceed to show how Feyerabend’s later theory of observation picks up central features of Carnap’s account and also shares some of the motivations. I conclude by noting how an empirical theory of observation sentences offers a bootstrapping solution to the “basis problem”. (shrink)

This expository paper on Aristotle’s prototype underlying logic is intended for a broad audience that includes non-specialists. It requires as background a discussion of Aristotle’s demonstrative logic. Demonstrative logic or apodictics is the study of demonstration as opposed to persuasion. It is the subject of Aristotle’s two-volume Analytics, as its first sentence says. Many of Aristotle’s examples are geometrical. A typical geometrical demonstration requires a theorem that is to be demonstrated, known premises from which the theorem is to be deduced, (...) and a deductive logic by which the steps of the deduction proceed. Every demonstration produces knowledge of its conclusion for every person who comprehends the demonstration. Aristotle presented a general truth-and-consequence theory of demonstration meant to apply to all demonstrations: a demonstration is an extended argumentation that begins with premises known to be truths and that involves a chain of reasoning showing by deductively evident steps that its conclusion is a consequence of its premises. In short, a demonstration is a deduction whose premises are known to be true. Aristotle’s general theory of demonstration required a prior general theory of deduction presented in the Prior Analytics. His general immediate-deduction-chaining theory of deduction was meant to apply to all deductions: any deduction that is not immediately evident is an extended argumentation that involves a chaining of immediately evident steps that shows its final conclusion to follow logically from its premises. His deductions, both direct and indirect, were rule-based and not tautology-based. The idea of tautology-based deduction, which dominated modern logic in the early years of the 1900s, is nowhere to be found in Analytics. Rule-based deduction was rediscovered by modern logicians. To illustrate his general theory of deduction, Aristotle presented a prototype: an ingeniously simple and mathematically precise special case traditionally known as the categorical syllogistic. With reference only to propositions of the four so-called categorical forms, he painstakingly worked out exactly what those immediately evident deductive steps are and how they are chained to complete deductions. In his specialized prototype theory, Aristotle explained how to deduce from a given categorical premise set, no matter how large, any categorical conclusion implied by the given set. He did not extend this treatment to non-categorical deductions, thus setting a program for future logicians. The prototype, categorical syllogistic, was seen by Boole as a “first approximation” to a comprehensive logic. Today, however it appears more as the first of the dozens of logics already created and as the first exemplification of a family that continues to expand. (shrink)

Feminist epistemologies hold that differences in the social locations of inquirers make for epistemic differences, for instance, in the sorts of things that inquirers are justified in believing. In this paper we situate this core idea in feminist epistemologies with respect to debates about social constructivism. We address three questions. First, are feminist epistemologies committed to a form of social constructivism about knowledge? Second, to what extent are they incompatible with traditional epistemological thinking? Third, do the answers to these questions (...) raise serious problems for feminist epistemologies? We argue that some versions of two of the main strands in feminist epistemology – feminist standpoint theory and feminist empiricism – are committed to a form of social constructivism, which requires certain departures from traditional epistemological thinking. But we argue that these departures are less problematic than one might think. Thus, (some) feminist epistemologies provide a plausible way of understanding how (some) knowledge might be socially constructed. (shrink)