This paper offers fictionalism as a new approach to the problem of reasonable disagreement discussed in social epistemology. The conciliationist approach to reasonable disagreement is defined, and three problems with it are posed: that it is destructive of inquiry, self-defeating, and unacceptably revisionary. Hans Vaihinger’s account of fictions is explained, and it is shown that if the intellectual commitments that are the subject of reasonable disagreements are treated as fictions rather than as beliefs, the three noted problems are avoided. Whereas (...) beliefs have a “rivalrous” relation to the source of their justification (evidence), fictions have a non-rivalrous relation to the source of their justification (expediency), meaning that disagreement over which fictions to employ is not problematic in the way that disagreement over what to believe is. Some objections to the fictionalist approach to reasonable disagreement are answered. (shrink)

Although the historical dispute between introspective psychology and ontological behaviorism encourages the belief that attitudes do not exist, this belief is misguided. Even the Hacking test, suggested by someone with grave doubts about behavioral science, supports the claim that attitudes are “just as real as neutrinos.” Nevertheless, the progress of a science of attitudes may be severely limited by the influence of exogenous factors, factors including normative beliefs about how we should treat the people to whom attitudes are attributed. In (...) so far as these beliefs prevent scientists from experimenting on people and their institutions, particle physics has resources unavailable to survey research. Thus a serious examination of behavioral science leads to some surprising conclusions as to which sciences are the “hard” ones and which ones are simply easier. (shrink)

The realism/antirealism controversy has gone on for centuries, and gives every indication that it will continue to go on for centuries. Dismayed, I take a closer look at it. I find that the question it poses--very roughly, whether scientific knowledge is true (approximately true, put forward as true, etc.) or only useful (empirically adequate, a convenient method of representation, etc.)--actually suppresses socially critical thought and discussion about science (e.g., concerning whether scientific knowledge is sexist or racist or socially harmful in (...) other ways, or whether scientific knowledge is useful for achieving the goals we have or the goals we ought to have). I find, as well, that two of the most important responses to the realism/antirealism controversy--that which construes it as concerned with science's aims and that which construes it as concerned with science's results--fail to make sufficient empirical or normative contact with science. As a consequence, they provide representations of science that either do not help scientists (or nonscientists) make informed decisions about science, or actually hinder these individuals from doing so. I conclude that we should either stop engaging in the realism/antirealism controversy entirely, or else engage in it in a more socially responsible way--by gathering the right kinds of empirical and normative data, and framing more helpful versions of the questions we want to ask. I end by responding to the strong objections sure to be voiced by my colleagues in philosophy of science. (shrink)

According to effective realism, scientific theories give us knowledge about the unobservable world, but not at the fundamental level. This view is supported by the well-received effective-field-theory (EFT) approach to high energy physics, according to which even our most successful physical theories are only applicable up to a certain energy scale and expected to break down beyond that. In this paper, I advance new challenges for effective realism and the EFT approach. I argue that effective quantum gravity (EQG) does not (...) give us a realistic theory of spacetime even within its scope of validity. This also exposes a general interpretative dilemma faced by all EFTs concerning their indispensable references to classical spacetime beyond their scope of validity. (shrink)

Although scientific realism is the default position in the life sciences, philosophical accounts of realism are geared towards physics and run into trouble when applied to fields such as biology or neuroscience. In this paper, I formulate a new robustness-based version of entity realism, and show that it provides a plausible account of realism for the life sciences that is also continuous with scientific practice. It is based on the idea that if there are several independent ways of measuring, detecting (...) or deriving something, then we are justified in believing that it is real. I also consider several possible objections to robustness-based entity realism, discuss its relationship to ontic structural realism, and show how it has the potential to provide a novel response to the pessimistic induction argument. (shrink)

David Enoch has recently proposed that the deliberative indispensability of irreducibly normative facts suffices to support their inclusion in our ontology, even if they are not necessary for the explanation of any observable phenomena. He challenges dissenters to point to a relevant asymmetry between explanation and deliberation that shows why explanatory indispensability, but not deliberative indispensability, is a legitimate guide to ontology. In this paper, I aim to do just that. Given that an entity figures in the actual explanation of (...) some phenomenon, it is not an open question whether that entity exists. Thus, if you can manage to find actual explanations, you can find answers to ontological questions. In contrast, even if some entity is indispensable to deliberation, it still might not exist. For example, even if some form of libertarian free will is deliberatively indispensable, we still might not have libertarian free will. So even if you manage to discover the indispensable commitments of deliberation, there is still more work to do to get to the bottom of things. That additional work is explanatory work, and so deliberative indispensability is not an independent guide to what there is. (shrink)

In its original form due to Ian Hacking, entity realism postulates a criterion of manipulative success which replaces explanatory virtue as the criterion of justified scientific belief. The article analyses the foundations on which this postulate rests and identifies the conditions on which one can derive a form of entity realism from it. It then develops in detail an extensive class of counterexamples, drawing on the notion of quasi-particles in condensed matter physics. While the phenomena associated with quasi-particles pass the (...) entity realist's criterion of manipulative success, quasi-particles themselves are illusions, and can be seen to be so even on the basis of the largely non-theoretical "home truths" that one must be ready to admit as background knowledge. Hence, Hacking's entity realism is shown to be incoherent. (shrink)

This paper discusses an argument for scientific realism put forward by Anthony Quinton in The Nature of Things. The argument – here called the controlled continuity argument – seems to have received no attention in the literature, apparently because it may easily be mistaken for a better-known argument, Grover Maxwell’s “argument from the continuum”. It is argued here that, in point of fact, the two are quite distinct and that Quinton’s argument has several advantages over Maxwell’s. The controlled continuity argument (...) is also compared to Ian Hacking’s “argument from coincidence”. It is pointed out that both arguments are to a large extent independent from considerations about high-level scientific theories, and that both are abductive arguments at the core. But these similarities do not dilute an important difference related to the fact that Quinton’s argument cleverly seeks to anchor belief in unobservable entities in realism about ordinary objects, which is a position shared by most contemporary scientific anti-realists. (shrink)

Back to Roy Wood Sellars: Why His Evolutionary Naturalism Is Still Worthwhile POUWEL SLURINK 1. INTRODUCTION AT THE MOMENT, naturalism is fashionable as never before. Several of the most prominent living philosophers -- e.g., Quine, Churchland, Ruse -- call them- selves naturalists. However, it is not always that clear what really is meant by naturalism, apart from a philosophy in which science plays a large role. This lack of clarity stems in part from the uncertainty about what is meant by (...) "science"--physics, biology, or both of them. But partly it also stems from different interpretations of the impact of scientific models on philosophical reflections. In this article I propose a return to the writings of the "evolutionary naturalist" Roy Wood Sellars . He was the father of Wilfrid Sellars, but I think that the philosophy of Sellars pbre is a better starting-point for "a reading programme" for modern naturalists than the philosophy of Sellarsfi/s, in spite of the claim of the latter that "Critical Realism and Evolutionary Natural- ism.., and all that they imply, are part of my paternal inheritance."' Al- though it may be true that much of the philosophy of Wilfrid Sellars is rooted in the philosophy of his father, we miss the illuminating evolutionary consider- ations characteristic of his father's philosophy in most of his work, and we can see a tendency to expect too much.. (shrink)

The anti-metaphysical argument against scientific realism is the following: Knowledge of unobservable entities implies metaphysical knowledge; There is no metaphysical knowledge. Therefore, there is no knowledge of unobservable entities. This argument has strangely received little attention in the profuse literature on scientific realism. This paper claims that the AMA is logically more fundamental than both the pessimistic meta-induction and the underdetermination argument. The second and main claim of this paper is that the instrumentalists’ use of AMA is incoherent. The gist (...) of my argument is that experimental knowledge requires minimally metaphysical knowledge, and that minimally metaphysical knowledge—when associated with empirical knowledge—suffices to yield a minimal knowledge of the unobservable. I then examine and reject two possible responses: minimally metaphysical instrumentalism and algebraic instrumentalism. (shrink)

The aim of this article is to contribute to the discussion about the so-called “empirical claim” and “empirical basis” of theory testing. First, the proposals of reconceptualization of the standard notions of partial potential model, intended application and empirical claim of a theory made by Balzer (1982, 1988, 1997a, 1997b, 2006, Balzer, Lauth & Zoubek 1993) and Gähde (1996, 2002, 2008) will be first discussed. Then, the distinction between “global” and “local empirical basis” will be introduced, linking it with that (...) of “global” and “local or particular empirical claim”. After that, following Balzer (1997a), along the lines of Suppes (1962), I will present a way in which what count as ‘data’ for a theory can be modeltheoretically represented and conceptualized. Finally, the proposed analysis will be exemplified with the case of classical genetics (reconstructed in Balzer & Lorenzano 2000, Lorenzano, 1995, 2000, 2002). (shrink)

Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of (...) uncertainty that arise in each stage, and discusses the categories into which these uncertainties fall. The paper then considers the way uncertainty and modeling are approached in science and the criteria for evaluating scientific hypotheses, in order to highlight the very different criteria appropriate for the development of models and the treatment of the inherent uncertainties in engineering. Finally, the paper puts forward nine guidelines for the treatment of uncertainty in engineering modeling. (shrink)

Although true in some aspects, the suggested characterization of today’s science as a dichotomy between traditional science and data-driven science misses some of the nuance, complexity, and possibility that exists between the two positions. Part of the problem is the claim that Data Science works without theories. There are many theories behind the data that are used in science. However, for data science, the only theories that matter are those in mathematics, statistics, and computer science. In this conceptual paper, we (...) add two other philosophy of science tenets, experiments and data, to the discussion to create a more nuanced view of how data science uses theories. Following Ihde’s concept of technoscience and the incessant quest for more precision, magnification, and resolution, we argue that technology-driven science created a need for more technology-driven science, culminating in data science. Further, we adapt Hacking and Galison’s views on physics to argue that data science is also an experimental science, which uses data objects in experiments. Drawing from Heelan, we called these objects “data-objects-for-knowing”. Finally, we conclude that data science is a science to study artificially created phenomena—a science to study the data manipulated by the equations and operations of AI. It disregards the connections between data and the real world that were carefully built by the theories from other sciences. In the experiments of data science, data are the world itself. The knowledge created by data science is purposely disconnected from any theory from other sciences; it is a knowledge for the sake of itself. (shrink)

"Partial realism" is a common position in the contemporary philosophy of science literature. It states that the "essential" elements of empirically successful scientific theories accurately represent corresponding features the world. This thesis makes several novel contributions related to this position. Firstly, it offers a new definition of the concept of “empirical success”, representing a principled merger between the use-novelty and unification accounts. Secondly, it provides a comparative critical analysis of various accounts of which elements are "essential" to the success of (...) a theory, including structural realism and the divide et impera strategy. A novel account of essentialness, entitled the “empirically successful sub-theory "account", is defended. Thirdly, it is argued that the realism/anti-realism debate should put to the side metaphysical questions and focus instead on partial realism's commitment to the continuity of science. Because this commitment lacks metaphysical implications, it is referred to as "deflationary realism". Anti-realists cannot reject deflationary realism as a matter of a priori principle; its overall viability can therefore only be assessed by a careful examination of the history of science. Finally, another consequence of partial realism, named "partial rationalism", is defended. Partial rationalism states that, in cases where several competing theories have been suggested, scientists are rational just in case they accept the essential elements of each of the scientific theories on offer. This novel position subverts the existing literature on scientific "revolutions", as it sometimes demands that scientists devise a synthesis between competing scientific theories, instead of "choosing" only one. The philosophical points defended in this thesis are illustrated and supported by case studies from the history of science, including Fresnel’s wave theory of light, the Copernican revolution, the "neo-Darwinian synthesis" in evolutionary biology, the "prion revolution" in molecular biology, the miasma theory of disease, and the chemical revolution. (shrink)

Though some influentially critical objections have been raised during the ‘classical’ pre-computational simulation philosophy of science tradition, suggesting a more nuanced methodological category for experiments, it safe to say such critical objections have greatly proliferated in philosophical studies dedicated to the role played by computational simulations in science. For instance, Eric Winsberg suggests that computer simulations are methodologically unique in the development of a theory’s models suggesting new epistemic notions of application. This is also echoed in Jeffrey Ramsey’s notions of (...) “transformation reduction,”—i.e., a notion of reduction of a more highly constructive variety. Computer simulations create a broadly continuous arena spanned by normative and descriptive aspects of theory-articulation, as entailed by the notion of transformation reductions occupying a continuous region demarcated by Ernest Nagel’s logical-explanatory “domain-combining reduction” on the one hand, and Thomas Nickels’ heuristic “domain-preserving reduction,” on the other. I extend Winsberg’s and Ramsey’s points here, by arguing that in the field of computational fluid dynamics as well as in other branches of applied physics, the computer plays a constitutively experimental role—supplanting in many cases the more traditional experimental methods such as flow-visualization, etc. In this case, however CFD algorithms act as substitutes, not supplements when it comes to experimental practices. I bring up the constructive example involving the Clifford-Algebraic algorithms for modeling singular phenomena in CFD by Gerik Scheuermann and Steven Mann & Alyn Rockwood who demonstrate that their algorithms offer greater descriptive and explanatory scope than the standard Navier-Stokes approaches. The mathematical distinction between Navier-Stokes-based and Clifford-Algebraic based CFD has essentially to do with the regularization features exhibited to a far greater extent by the latter, than the former. Hence, CACFD indicate that the utilization of computational techniques can be based on principled reasons, as opposed to merely practical. CACFD hence exhibit a new generative role in the field of fluid mechanics, by offering categories of experimental evidence that are optimally descriptive and explanatory—i.e., pace Batterman can be both ontologically and epistemically fundamental. (shrink)

Summary For Thomas Edison, experiencing a failure did not mean that he had failed. Through an examination of the process that led to his invention of the carbon microphone, I argue that his positive approach to failure contributed both to his success as an inventor and to the functional success of his inventions. Edison's laboratory notebooks and legal testimony reveal that his seemingly erratic approach and reliance on trial and error methods in fact had a consistent direction and a rational (...) basis, well suited to the under-determined problems he faced. The outcome of this process, the carbon microphone, contributed significantly to the commercial success of the telephone and remains in use today. Thomas Hughes has observed that nineteenth century inventors made use of the unexpected behaviour of their inventions as sources of novel phenomena to exploit in new inventions. This paper identifies other ways in which Edison made use of failure and proposes that, paradoxically, the success of technological artefacts can be determined by the thoroughness with which failure is pursued in their creation. It also notes a parallel between Edison's instrumentalizing of failure and the way in which recent philosophers of science have proposed that scientists should make use of error. (shrink)

This paper discusses some philosophical aspects related to the recent publication of the experimental results of the 2017 black hole experiment, namely the first image of the supermassive black hole at the center of galaxy M87. In this paper I present a philosophical analysis of the 2017 Event Horizon Telescope (EHT) black hole experiment. I first present Hacking’s philosophy of experimentation. Hacking gives his taxonomy of elements of laboratory science and distinguishes a list of elements. I show that the EHT (...) experiment conforms to major elements from Hacking’s list. I then describe with the help of Galison’s Philosophy of the Shadow how the EHT Collaboration created the famous black hole image. Galison outlines three stages for the reconstruction of the black hole image: Socio-Epistemology, Mechanical Objectivity, after which there is an additional SocioEpistemology stage. I subsequently present my own interpretation of the reconstruction of the black hole image and I discuss model fitting to data. I suggest that the main method used by the EHT Collaboration to assure trust in the results of the EHT experiment is what philosophers call the Argument from Coincidence. I show that using this method for the above purpose is problematic. I present two versions of the Argument from Coincidence: Hacking’s Coincidence and Cartwright’s Reproducibility by which I analyse the EHT experiment. The same estimation of the mass of the black hole is reproduced in four different procedures. The EHT Collaboration concludes: the value we have converged upon is robust. I analyse the mass measurements of the black hole with the help of Cartwright’s notion of robustness. I show that the EHT Collaboration construe Coincidence/Reproducibility as Technological Agnosticism and I contrast this interpretation with van Fraassen’s scientific agnosticism. (shrink)

Replies to commentaries on my 2012 article ‘Synthetic Biology Needs a Synthetic Bioethics,’ note that I do not, in fact, call for some ‘new’ kind of ethics. The focus then and now is on integrating questions that relate to distributive justice and environmental quality more faithfully into the topics that have come to preoccupy mainstream bioethics as institutionalized in medical schools and medical research institutions.

The classic approach to science is dominated by the belief that science is a form of cognitive activity that focuses on constructing theories to describe and explain the phenomena and processes found in the world. Due to the fulfilment of the criteria of intersubjective communicability and controllability, theories are considered to be objective products of research activity that do not bear social responsibility for their applications. In this paper, the issue of social responsibility of science is addressed both from the (...) classic perspective and from the non-classic viewpoint represented by laboratory sciences, i.e. those sciences that are predominantly concerned with creating phenomena rather than discovering them. It is argued that whereas in the former case the problem of social responsibility of science does not provoke serious controversy, in the latter case such controversies do exist and, furthermore, they are justified. (shrink)

An explanatory coherence theory of justification is sketched and then defended against a number of recent objections: conservatism and relativism; wild and crazy beliefs; reliability; warranted necessary falsehoods; basing; distant, unknown coherences; Sosa's “self- and present-abstracts”; and Bayesian impossibility results.

ABSTRACT The current debate on scientific realism is an entire universe. A general thesis can be put like follows: scientific activity attains a world that is independent of science itself. This “reaching out” can be thought of in terms of theoretical practices, such as the formulation of true theories, and/or experimental practices, such as the construction of suficiently accurate methods to (re)formulate and test what is said by the theories. By this latter route, the debate about scientific realism in the (...) philosophy of science meets the discussions in the philosophy of measurement, an autonomous research area that investigates measurement practices, their concepts, applications and assumptions. As the “realism” in the philosophy of science in general, there are multiple postures that can be characterized as “realistic” through their theorizations about scientific measurements. Stating which are the criteria and reasons why these positions claim to be realistic and in what they are distinct is a complex task. This article is an attempt to do that, without exhausting the discussion or the field. (shrink)

Ian Hacking has argued that the notions of experiment and observation are distinct, not even the opposite ends of a continuum. More recently, other authors have emphasised their continuity, saying...

Entity realism is the view that ‘a good many theoretical entities do really exist’. The main novelty of entity realism was that it provided an account of scientific realism that did not have to endorse realism about theories—the general proposal was that entity realism is noncommittal about whether we should be realist about scientific theories. I argue that the only way entity realists can resist the pull of straight scientific realism about theories is by endorsing a recent new player in (...) the scientific realism debate: singularist semirealism. (shrink)

The modern understanding of radiation got its start in 1895 with X-rays discovered by Wilhelm Röntgen, followed in 1896 by Henri Becquerel’s discovery of radioactivity. The development of the study of radiation opened a vast field of research concerning various disciplines: chemistry, physics, biology, geology, sociology, ethics, etc. Additionally, new branches of knowledge were created, such as atomic and nuclear physics that enabled an in-depth knowledge of the matter. Moreover, during the historical evolution of this body of knowledge a wide (...) variety of new technologies was emerging. This article seeks to analyze the characteristics of experimental research in radioactivity and microphysics, in particular the relationship experience-theory. It will also be emphasized that for more than two decades, since the discovery of radioactivity, experiments took place without the theory being able to follow experimental dynamics. Some aspects identified as structural features of scientific research in the area of radiation and matter will be addressed through historical examples. The inventiveness of experiments in parallel with the emergence of quantum mechanics, the formation of teams and their relationship with technology developed from the experiments, as well as the evolution of microphysics in the sense of “Big Science” will be the main structural characteristics here focused. The case study of research in radioactivity in Portugal that assumes a certain importance and has structural characteristics similar to those of Europe will be presented. (shrink)

This paper concerns local yet systematic problems of contrastive underdetermination of model choice in cognitive neuroscience debates about the so-called two visual systems hypothesis. The underdetermination problem is systematically generated by the way certain assumptions about the representationalist nature of computation are translated into experimental practice. The problem is that behavioural data underdetermine the choice between competing representational models. In this paper, I diagnose how these assumptions generate underdetermination problems in the choice between competing functional models of perception–action. Using the (...) tools of philosophy of science, I describe the type of underdetermination and sketch a possible cure. (shrink)