The purpose of this article is to respond to Thomas Uebel´s criticisms of my comments regarding the current revisionism of Carnap´s work and its relations to Kuhn. I begin by pointing out some misunderstandings in the interpretation of my article. I then discuss some aspects related to Carnap´s view of the history of science. First, I emphasize that it was not due to a supposed affinity between Kuhn´s conceptions and those of logical positivism that Kuhn was invited to write the (...) monograph on the history of science for the Encyclopedia. Three other authors had been invited first, including George Sarton whose conception was entirely different from Kuhn´s. In addition, I try to show that Carnap attributes little importance to history of science. He seldom refers to it and, when he does, he clearly defends a Whig or an “old” historiography of science, to which Kuhn opposes his “new historiography of science”. It is argued that this raises serious difficulties for those, like Uebel, who hold the view that Carnap includes the historical or the social within the rational. (shrink)

In this paper I argue for the importance of treating mental experience on its own terms. In defense of “experiential realism” I offer a critique of modern psychology’s all-too-frequent attempts to effect an objectification and quantification of personal subjectivity. The question is “What can we learn about experiential reality from indices that, in the service of scientific objectification, transform the qualitative properties of experience into quantitative indices?” I conclude that such treatment is neither necessary for realizing, nor sufficient for capturing, (...) subjectively given states (such as perception, pain, imagery, fear, thought, memory) – that is, for understanding many of the principle objects of psychological inquiry. A “science of mind” that approaches its subject matter from a third-person perspective should, I contend, be treated with a healthy amount of informed skepticism. (shrink)

These are the introduction chapters to the forthcoming collection of essays published by Springer (Synthese Library) and entitled Probabilities, Causes and Propensities in Physics.

Observational and experimental discoveries of new factual entities such as objects, systems, or processes, are major contributors to some advances in the life sciences. Yet, whereas discovery of theories was extensively deliberated by philosophers of science, very little philosophical attention was paid to the discovery of factual entities. This paper examines historical and philosophical aspects of the experimental discovery by Carl Woese of archaea, prokaryotes that comprise one of the three principal domains of the phylogenetic tree. Borrowing Kuhn’s terminology, this (...) discovery of a major biological entity was made during a ‘normal science’ project of building molecular taxonomy for prokaryotes. Unexpectedly, however, an observed anomaly instigated the discovery of archaea. Substantiation of the existence of the new archaeal entity and consequent reconstruction of the phylogenetic tree prompted replacement of a long-held model of a prokarya and eukarya bipartite tree of life by a new model of a tripartite tree comprising of bacteria, archaea, and eukarya. This paper explores the history and philosophical implications of the progression of Woese’s project from normal science to anomaly-instigated model-changing discovery. It is also shown that the consequential discoveries of RNA splicing and of ribozymes were similarly prompted by unexpected irregularities during normal science activities. It is thus submitted that some discoveries of factual biological entities are triggered by unforeseen observational or experimental anomalies. (shrink)

In this paper I argue that much of the confusion and mystery surrounding the concept of "self" can be traced to a failure to appreciate the distinction between the self as a collection of diverse neural components that provide us with our beliefs, memories, desires, personality, emotions, etc (the epistemological self) and the self that is best conceived as subjective, unified awareness, a point of view in the first person (ontological self). While the former can, and indeed has, been extensively (...) studied by researchers of various disciplines in the human sciences, the latter most often has been ignored -- treated more as a place holder attached to a particular predicate of interest (e.g., concept, reference, deception, esteem, image, regulation, etc). These two aspects of the self, I contend, are not reducible -- one being an object (the epistemological self) and the other a subject (the ontological self). Until we appreciate the difficulties of applying scientific methods and analysis to what cannot be reduced to an object of inquiry without stripping it of its essential aspect (its status as subject), progress on the "self", taken as a pluralistic construct, will continue to address only one part of the problems we face in understanding this most fundamental aspect of human experience. (shrink)

When it originated in the late 19th century, psychometrics was a field with both a scientific and a social mission: psychometrics provided new methods for research into individual differences, and at the same time, these psychometric instruments were considered a means to create a new social order. In contrast, contemporary psychometrics - due to its highly technical nature and its limited involvement in substantive psychological research - has created the impression of being a value-free discipline. In this article, we develop (...) a contrasting characterization of contemporary psychometrics as a value-laden discipline. We expose four such values: that individual differences are quantitative (rather than qualitative), that measurement should be objective in a specific sense, that test items should be fair, and that utility of a model is more important than its truth. Our goal is not to criticize psychometrics for employing these values, but rather to bring them into the open and to show that these values are not inevitable and are in need of systematic evaluation. (shrink)

The Berlin Group was an equal partner with the Vienna Circle as a school of scientific philosophy, albeit one that pursued an itinerary of its own. But while the latter presented its defining projects in readily discernible terms and became immediately popular, the Berlin Group, whose project was at least as sig-nificant as that of its Austrian counterpart, remained largely unrecognized. The task of this chapter is to distinguish the Berliners’ work from that of the Vienna Circle and to bring (...) to light its impact in the history of scientific philosophy. (shrink)

I propose the next steps in the neuropragmatic approach to philosophy that has been advocated by Solymosi and Shook (2013). My focus is the initial process of inquiry implicit in addressing philosophical questions of cognition and mind by utilizing the tools of neuroscientific research. I combine John Dewey’s pattern of inquiry with Charles Peirce’s three forms of inference in order to outline a methodological schema for neuropragmatic inquiry. My goal is to establish ignorance and guessing as well-defined pillars of methodology (...) upon which to build a neuropragmatic approach to inquiry. First, I outline Dewey’s pattern of inquiry, highlighting the initial problematic phase in which recognized ignorance provides the basis upon which to frame a philosophical problem and initiate the trajectory by which philosophical questions may be addressed with the assistance of neuroscientific evidence. Second, I provide an outline of Peirce’s three forms of inference, focusing upon the first phase of abduction: guessing. Third, I explain the transition between ignorance and guessing, urging the benefit of attending to these two aspects of inquiry. Finally, I provide an initial sketch indicating the next steps concerning a pragmatic reconstruction of neurophilosophy, pointing towards the need for a more thorough examination of scientific methodology within and following analyses of philosophical problems and neuroscientific evidence. (shrink)

We claim that adjustable parameters play a crucial role in building and applying simulation models. We analyze that role and illustrate our findings using examples from equations of state in thermodynamics. In building simulation models, two types of experiments, namely, simulation and classical experiments, interact in a feedback loop, in which model parameters are adjusted. A critical discussion of how adjustable parameters function shows that they are boon and bane of simulation. They help to enlarge the scope of simulation far (...) beyond what can be determined by theoretical knowledge, but at the same time undercut the epistemic value of simulation models. (shrink)

The purpose of this article is to respond to Thomas Uebel’s criticisms of my comments regarding the current revisionism of Carnap’s work and its relations to Kuhn. I begin by pointing out some misunderstandings in the interpretation of my article. I then discuss some aspects related to Carnap’s view of the history of science. First, I emphasize that it was not due to a supposed affinity between Kuhn’s conceptions and those of logical positivists that Kuhn was invited to write the (...) monograph on the history of science for the Encyclopedia. Three other authors had been invited first, including George Sarton whose conception was entirely different from Kuhn’s. In addition, I try to show that Carnap attributes little importance to the history of science. He seldom refers to it and, when he does, he clearly defends a Whig or an ‘old’ historiography of science, to which Kuhn opposes his “new historiography of science”. It is argued that this raises serious difficulties for those, like Uebel, who hold the view that Carnap includes the historical or the social within the rational. (shrink)

In this paper we investigate ignorance in relation to our capacity to justify our beliefs. To achieve this aim we specifically address scientific misconceptions, i.e. beliefs that are considered to be false in light of accepted scientific knowledge. The hypothesis we put forward is that misconceptions are not isolated false beliefs, but rather form part of a system of inferences—an explanation—which does not match current scientific theory. We further argue that, because misconceptions are embedded in a system, they cannot be (...) rectified simply by replacing false beliefs with true ones. To address our misconceptions, we must rather act on the system of beliefs that supports them. In the first step of our analysis, we distinguish between misconceptions that are easy to dispel because they represent simple errors that occur against the background of a correct explanatory apparatus and misconceptions that are, on the contrary, very difficult to dispel because they are the product of pseudo explanations. We show that, in the latter case, misconceptions constitute an integral part of an incorrect explanation and the reasons that support such misconceptions are deeply misleading. In the second step, we discuss various approaches that have been adopted to address the problem of misconceptions. Challenging the notion that directly addressing and criticizing specific misconceptions is an effective approach, we propose that critical thinking is the most fruitful means to deal with misconceptions. We define the core competences and knowledge relevant for the practice of critical thinking and discuss how they help us avoid misconceptions that arise from accepting beliefs that form part of a mistaken explanation. (shrink)

Abstract: This article contends that the relation of early logical empiricism to Kant was more complex than is often assumed. It argues that Reichenbach's early work on Kant and Einstein, entitled The Theory of Relativity and A Priori Knowledge (1920) aimed to transform rather than to oppose Kant's Critique of Pure Reason. One the one hand, I argue that Reichenbach's conception of coordinating principles, derived from Kant's conception of synthetic a priori principles, offers a valuable way of accounting for the (...) historicity of scientific paradigms. On the other hand, I show that even Reichenbach, in line with Neo-Kantianism, associated Kant's view of synthetic a priori principles too closely with Newtonian physics and, consequently, overestimated the difference between Kant's philosophy and his own. This is even more so, I point out, in the retrospective account logical empiricism presented of its own history. Whereas contemporary reconstructions of this history, including Michael Friedman's, tend to endorse this account, I offer an interpretation of Kant's conception of a priori principles that contrasts with the one put forward by both Neo-Kantianism and logical empiricism. On this basis, I re-examine the early Reichenbach's effort to accommodate these principles to the paradigm forged by Einstein. (shrink)

Feminist philosophy seems to conflict with traditional philosophical methodology. For example, some uses of the concept of gender by feminist philosophers seem to commit the genetic fallacy. I argue that use of the concept of gender need not commit the genetic fallacy, but that the concept of gender is problematic on other grounds.

Reichenbach held that all scientific inference reduces, via probability calculus, to induction, and he held that induction can be justified. He sees scientific knowledge in a practical context and insists that any rational assessment of actions requires a justification of induction. Gaps remain in his justifying argument; for we can not hope to prove that induction will succeed if success is possible. However, there are good prospects for completing a justification of essentially the kind he sought by showing that while (...) induction may succeed, no alternative is a rational way of trying.Reichenbach's claim that probability calculus, especially via Bayes' Theorem, can help to exhibit the structure of inference to theories is a valuable insight. However, his thesis that the weighting of all hypotheses rests only on frequency data is too restrictive, especially given his scientific realism. Other empirical factors are relevant. Any satisfactory account of scientific inference must be deeply indebted to Reichenbach's foundation work. (shrink)

For most of this century, those in the sciences have been accustomed to view religion as an opponent. Recent years, however, have seen a cultural change of great significance. Not only have many scientists dropped their former hostility to questions of spirituality, but increasing numbers of religious persons are following scientific developments, speaking on ethical and social issues raised by technology, and modifying beliefs that conflict with empirical evidence. This article shows why and how religious perspectives can complement and supplement (...) objective science. It explores some of the ramifications of the widespread cessation of hostilities between science and religion. It also examines the contributions made by religious persons and traditions as society wrestles with a world now largely dominated by science and its technology. It is no longer necessary to construe science and religion as enemies; they can work as allies in addressing urgent social problems and the dilemmas with which technology confronts us. (shrink)

In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...) the technological inability to directly test the theory. The appropriate response, according to Dawid, is to acknowledge this development and widen the canons of acceptable scientific methods. As I’ll argue, however, the current situation in fundamental physics does not require either of these responses. Rather, as I’ll suggest, much of the controversy stems from a failure to properly distinguish the “context of justification” from the “context of pursuit”. Both those who accuse string theorists of betraying the scientific method and those who advocate an enlarged conception of scientific methodology objectionably conflate epistemic justification with judgements of pursuit-worthiness. Once we get clear about this distinction and about the different norms governing the two contexts, the current situation in fundamental physics becomes much less puzzling. After defending this diagnosis of the controversy, I’ll show how the argument patterns that have been posited by Dawid as constituting an emergent methodological revolution in science are better off if reworked as arguments belonging to the context of pursuit. (shrink)

This article introduces a model of levels of analysis applied to statements found in philosophical, scientific, and religious discourses in order to facilitate a more accurate description of the relation between science and religion. The empirical levels prove to be the most crucial for the relation between science and religion, because they include statements that are important parts of both scientific and religious discourse, whereas statements from metaphysical levels are only important in terms of religion and are neutral in relation (...) to particular scientific theories. In particular, the rejection of certain ontological assumptions behind special divine action logically entails the rejection of the literal meaning of empirical statements describing special open expression of supernatural factors in nature. Such a rejection also entails an essential revision of many religious systems of beliefs, including traditional Christian theism. (shrink)

At its centennial in 2001, the American Philosophical Association bravely proclaimed: “Philosophy Matters.” But does it? It won’t unless it reaches the concreteness of everyday life. To do so was Martin Heidegger’s ambition, and one can read Saul Kripke’s books as an attempt to get mainstream American philosophy beyond its abstractions. At length, Kripke’s efforts, on one reading, failed while Heidegger’s remained incomplete. A theory of commodification can get us closer to the things that matter to us in everyday life.

In their review essay (published in this issue), Looren de Jong and Schouten take my 2003 book to task for (among other things) neglecting to keep up with the latest developments in my favorite scientific case study (memory consolidation). They claim that these developments have been guided by psychological theorizing and have replaced neurobiology's traditional 'static' view of consolidation with a 'dynamic' alternative. This shows that my 'essential but entirely heuristic' treatment of higher-level cognitive theorizing is a mistaken view of (...) actual scientific practice. In response I contend that, on the contrary, a closer look at the memory reconsolidation following reactivation experiments and data suggests (1) a less revolutionary judgment about the proposed alternative, and (2) a now-complete reliance on ruthlessly reductive experimental methods from cellular and molecular neuroscience. These conclusions save the heuristic status I propose for higher-level investigations of behavior and brain. I close with a brief comment on their further charge that I 'sell out' philosophy of science to factual developments in science itself. (shrink)

In this essay, I will engage with the controversy that has sprung up between the proponents of the sharp separation thesis and those of the entanglement thesis. What I will be defending is a variant of the entanglement thesis. By drawing on contemporary action theory and on epistemic conceptualism, I will argue that, while objective facts and practical norms are indeed distinct categories of thought, that distinction does not amount to a conceptual gap—a dichotomy or unbridgeable divide. Their relation, in (...) other words, is not one of logical dualism but one of mere (analytical) distinction between interdependent categories of thinking. Hence the entanglement view on which distinction does not entail dichotomy. (shrink)

Explores the science and creative process behind Poe’s cosmological treatise. Silver Winner for Philosophy, 2017 Foreword INDIES Book of the Year Awards In 1848, almost a year and a half before Edgar Allan Poe died at the age of forty, his book Eureka was published. In it, he weaved together his scientific speculations about the universe with his own literary theory, theology, and philosophy of science. Although Poe himself considered it to be his magnum opus, Eureka has mostly been overlooked (...) or underappreciated, sometimes even to the point of being thought an elaborate hoax. Remarkably, however, in Eureka Poe anticipated at least nine major theories and developments in twentieth-century science, including the Big Bang theory, multiverse theory, and the solution to Olbers’ paradox. In this book—the first devoted specifically to Poe’s science side—David N. Stamos, a philosopher of science, combines scientific background with analysis of Poe’s life and work to highlight the creative and scientific achievements of this text. He examines Poe’s literary theory, theology, and intellectual development, and then compares Poe’s understanding of science with that of scientists and philosophers from his own time to the present. Next, Stamos pieces together and clarifies Poe’s theory of scientific imagination, which he then attempts to update and defend by providing numerous case studies of eureka moments in modern science and by seeking insights from comparative biography and psychology, cognitive science, neuroscience, and evolution. David N. Stamos teaches philosophy at York University in Toronto. He is the author of several books, including Darwin and the Nature of Species, also published by SUNY Press. (shrink)

In the methodology of scientific research programs (MSRP) there are important features on the problem of prediction, especially regarding novel facts. In his approach, Imre Lakatos proposed three different levels on prediction: aim, process, and assessment. Chapter 5 pays attention to the characterization of prediction in the methodology of research programs. Thus, it takes into account several features: (1) its pragmatic characterization, (2) the logical perspective as a proposition, (3) the epistemological component, (4) its role in the appraisal of research (...) programs, and (5) its place as a value for scientific research. -/- The notion of “novel facts” is highly relevant in his conception, where several aspects are involved: the directions of novel facts, the different kinds of novelty, and the transition from six possible options of “novel facts” to four choices. Thereafter, the prediction of novel facts as the criterion of appraisal is considered. On the one hand, this requires analyzing the theoretical, empirical, and heuristic possibilities of appraisal; and, on the other, whether there is an overemphasis on the role of prediction in methodology of scientific research programs. As a consequence, there is an analysis of Lakatos’ criterion of appraisal in MSRP and economics. (shrink)

With the recent rise of the philosophy of scientific practices, SSK (Sociology of Scientific Knowledge), and feminist approaches to the philosophy of science, a new perspective is gradually coming into being, holding that the starting point for scientific research is opportunity. Opportunistic features in solar neutrino experiments, Opportunistic features of complexity studies emerging from economics, and the measurement of insects’ flight can prove the above perspective from different angels. It is important and significant to determine whether the starting point for (...) scientific research is opportunity, a problem, or an observation. (shrink)

Peter Woolcock, in Ruse's Darwinian Meta-Ethics: A Critique, argues that the subjectivist (nonobjectivist) Darwinian metaethics proposed by Michael Ruse (in Taking Darwin Seriously) cannot work, because the illusion of objectivity that Ruse claims is essential to morality breaks down when it is recognized as illusion, and there then remain no good reasons for acknowledging or following moral obligations. Woolcock, however, is mistaken in supposing that moral behaviour requires rational motivation. Ruse's Darwinian metaethical analysis shows why such objective support for morality (...) is neither plausible nor necessary; and when that is recognized, it can also be seen that Ruse's proposed illusion of moral objectivity is superfluous. (shrink)

The project behind this and the following1 special issue of Angelaki first assumed concrete form in the shape of a three-day international conference, “Continental Philosophy and the Sciences,” hel...

With the recent rise of the philosophy of scientific practices, SSK (Sociology of Scientific Knowledge), and feminist approaches to the philosophy of science, a new perspective is gradually coming into being, holding that the starting point for scientific research is opportunity. Opportunistic features in solar neutrino experiments, Opportunistic features of complexity studies emerging from economics, and the measurement of insects' flight can prove the above perspective from different angels. It is important and significant to determine whether the starting point for (...) scientific research is opportunity, a problem, or an observation. /// 近年来由于科学实践哲学的兴起，以及 SSK 和女性主义科学哲学研究的兴起， 科学研究始于机会的观点正在悄然形成之中。太阳中微子实验、复杂性研究和昆虫 飞行测量等案例都从不同角度证明了 "科学研究始于机会" 的观点。区别科学研究 "始于机会"、"始于问题" 和 "始于观察" 这三种观点，是重要而且有意义的。. (shrink)

Ever since the first meeting of the proponents of the emerging Logical Empiricism in 1923, there existed philosophical differences as well as personal rivalries between the groups in Berlin and Vienna, headed by Hans Reichenbach and Moritz Schlick, respectively. Early theoretical tensions between Schlick and Reichenbach were caused by Reichenbach's (neo) Kantian roots (esp. his version of the relativized a priori), who himself regarded the Vienna Circle as a sort of anti-realist "positivist school"—as he described it in his Experience and (...) Prediction (1938). One result of this divergence was Schlick's preference of Carnap over Reichenbach for a position at the University of Vienna (in 1926), and his decision not to serve as a co-editor with Reichenbach for the journal Erkenntnis that they jointly established in 1930 (which was then co-edited by Carnap and Reichenbach from 1930 to 1938). A second split rooted in different views on induction and probability, which culminated in the Hans Reichenbach's refusal to serve as an invited author on probability within the International Encyclopedia of Unified Science series ed. by Rudolf Carnap, Charles Morris and Otto Neurath from 1938 onwards. In this regard it is remarkable that also Richard von Mises, who was the second leading figure of Logical Empiricism in Turkish exile, criticized the theory of probability put forward by his former Berlin colleague. In this paper I analyse this controversial exchange, drawing on the relevant correspondence and asking whether these (meta) philosophical differences were a typical feature of the pluralism inherent in Logical Empiricism in general. (shrink)

Ever since the first meeting of the proponents of the emerging Logical Empiricism in 1923, there existed philosophical differences as well as personal rivalries between the groups in Berlin and Vienna, headed by Hans Reichenbach and Moritz Schlick, respectively. Early theoretical tensions between Schlick and Reichenbach were caused by Reichenbach’s Kantian roots, who himself regarded the Vienna Circle as a sort of anti-realist “positivist school”—as he described it in his Experience and Prediction. One result of this divergence was Schlick’s preference (...) of Carnap over Reichenbach for a position at the University of Vienna, and his decision not to serve as a co-editor with Reichenbach for the journal Erkenntnis that they jointly established in 1930. A second split rooted in different views on induction and probability, which culminated in the Hans Reichenbach’s refusal to serve as an invited author on probability within the International Encyclopedia of Unified Science series ed. by Rudolf Carnap, Charles Morris and Otto Neurath from 1938 onwards. In this regard it is remarkable that also Richard von Mises, who was the second leading figure of Logical Empiricism in Turkish exile, criticized the theory of probability put forward by his former Berlin colleague. In this paper I analyse this controversial exchange, drawing on the relevant correspondence and asking whether these philosophical differences were a typical feature of the pluralism inherent in Logical Empiricism in general. (shrink)

The main objective of the paper is to propose a frequentist interpretation of probability in the context of model-based induction, anchored on the Strong Law of Large Numbers (SLLN) and justifiable on empirical grounds. It is argued that the prevailing views in philosophy of science concerning induction and the frequentist interpretation of probability are unduly influenced by enumerative induction, and the von Mises rendering, both of which are at odds with frequentist model-based induction that dominates current practice. The differences between (...) the two perspectives are brought out with a view to defend the model-based frequentist interpretation of probability against certain well-known charges, including [i] the circularity of its definition, [ii] its inability to assign ‘single event’ probabilities, and [iii] its reliance on ‘random samples’. It is argued that charges [i]–[ii] stem from misidentifying the frequentist ‘long-run’ with the von Mises collective. In contrast, the defining characteristic of the long-run metaphor associated with model-based induction is neither its temporal nor its physical dimension, but its repeatability (in principle); an attribute that renders it operational in practice. It is also argued that the notion of a statistical model can easily accommodate non-IID samples, rendering charge [iii] simply misinformed. (shrink)

Positivism has been used to establish a standard that Information Systems (IS) research must meet to be scientific. According to such positivistic beliefs in IS, scientific research should: 1) be generalizable, 2) focus on stable independent variables, 3) have certain ontological assumptions, and 4) use statistical or quantitative methods rather than qualitative methods. We argue that logical positivist philosophers required none of these. On the contrary, logical positivist philosophers regarded philosophizing in general and ontological considerations in particular as nonsense. Moreover, (...) the positivists’ preferred empirical research method was not a survey, but rather a qualitative observation recorded by field notes. In addition, positivist philosophers required neither statistical nor nonstatistical generalizability. At least some positivist philosophers also acknowledged the study of singular cases as being scientific. Many research orientations (e.g., single-setting research, examination of change, qualitative research) that are deemed “unscientific” by positivism in IS seem to be “scientific” (in principle) according to logical positivism. In turn, generally speaking, what has been justified as scientific by positivism in IS (e.g., requirements of statistical or nonstatistical generalizability, surveys, independent variables, ontological views) were either not required by logical positivists or were regarded as nonsensical by logical positivists. Furthermore, given that positivism is sometimes associated (or confused) with logical empiricism in IS, we also briefly discuss logical empiricism. Finally, realizing that certain influential, taken-forgranted assumptions that underlie IS research are unwarranted could have ground-breaking implications for future IS research. (shrink)

Causal necessity typically receives only oblique attention. Causal relations, laws of nature, counterfactual conditionals, or dispositions are usually the immediate subject(s) of interest. All of these, however, have a common feature. In some way, they involve the causal modality, some form of natural or physical necessity. In this paper, causal necessity is discussed with the purpose of determining whether a completely general empiricist theory can account for the causal in terms of the noncausal. Based on an examination of causal relations, (...) laws of nature, counterfactual conditionals, and dispositions, it is argued that no reductive program devoid of essentialist commitments can account for all the phenomena that involve causal necessity. Hence, neo-Humean empiricism fails to provide a framework adequate for understanding causal necessity. (shrink)

Reichenbach's Philosophy of Space and Time (1928) avoids most of the logical positivist pitfalls it is generally held to exemplify, notably both conventionalism and verificationism. To see why, we must appreciate that Reichenbach's interest lies in how mathematical structures can be used to describe reality, not in how words like 'distance' acquire meaning. Examination of his proposed "coordinative definition" of congruence shows that Reichenbach advocates a reductionist analysis of the relations figuring in physical geometry (contrary to common readings that attribute (...) to him a holistic conventionalism), while embracing a thoroughly holistic understanding of empirical confirmation (contrary to rival operationalist readings). (shrink)

This paper describes the development of theories of scientific explanation since Hempel's earliest models in the 1940ies. It focuses on deductive and probabilistic whyexplanations and their main problems: lawlikeness, explanation-prediction asymmetries, causality, deductive and probabilistic relevance, maximal specifity and homogenity, the height of the probability value. For all of these topic the paper explains the most important approaches as well as their criticism, including the author's own accounts. Three main theses of this paper are: (1) Both deductive and probabilistic explanations (...) are important in science, not reducible to each other. (2) One must distinguish between (cause giving) explanations and (reason giving) justifications and predictions. (3) The adequacy of deductive as well as probabilistic explanations is relative to a pragmatically given background knowledge-which does not exclude, however, the possibility of purely semantic models. (shrink)

With his distinction between the "context of discovery" and the "context of justification", Hans Reichenbach gave the traditional difference between genesis and validity a modern standard formulation. Reichenbach's distinction is one of the well-known ways in which the expression "context" is used in the theory of science. My argument is that Reichenbach's concept is unsuitable and leads to contradictions in the semantic fields of genesis and validity. I would like to demonstrate this by examining the different meanings of Reichenbach's context (...) distinction. My investigation also shows how the difference between genesis and validity precedes Reichenbach's context distinction and indicates approaches for meaningful applications of the concept of context to the phenomena designated by Reichenbach. I will begin by reconstructing the way in which Reichenbach introduces the distinction between discovery and justification as a difference of contexts (I). Drawing on the numerous meanings of the term "context", I will then emphasize some chief characteristics and review, through exemplification, the usage of this term. First of all, I turn to the context of discovery as the nonrational part of all scientific knowledge and show that this meaning cannot be defined consistently (la). For the context of justification, one can distinguish two main cases: the context of justification is either contrasted with the context of discovery, or it forms a unit there with. In the first case, the use of the context term becomes paradoxical, insofar as justification separated from scientific practice does not represent a field of reference which could be specifically contrasted with another field of reference (I b). In the second case, the unifying definitions contradict the contextual meaning of discovery and justification (1 c). In the last section, I point to a useful application of the concept of context which can be found in Reichenbach's argumentation and which refers to the practical conditions of justification(2). (shrink)

The aim of this contribution is to provide a rather general answer to Hume’s problem. To this end, induction is treated within a straightforward formal paradigm, i.e., several connected levels of abstraction. Within this setting, many concrete models are discussed. On the one hand, models from mathematics, statistics and information science demonstrate how induction might succeed. On the other hand, standard examples from philosophy highlight fundamental difficulties. Thus it transpires that the difference between unbounded and bounded inductive steps is crucial: (...) while unbounded leaps of faith are never justified, there may well be reasonable bounded inductive steps. In this endeavour, the twin concepts of information and probability prove to be indispensable, pinning down the crucial arguments, and, at times, reducing them to calculations. Essentially, a precise study of boundedness settles Goodman’s challenge. Hume’s more profound claim of seemingly inevitable circularity is answered by obviously non-circular hierarchical structures. (shrink)

In this article, I seek to shed new light on a lesser-known stage of the development of Hans Reichenbach’s thought, namely his research, output and teaching activities at Istanbul University. I argue that the experience of Turkish exile was decisive in the elaboration of Reichenbach’s probability theory of meaning and knowledge. His work Experience and Prediction, produced while in Istanbul, should therefore be put in its Turkish context of elaboration and reception. To this end, I will take into consideration not (...) only Reichenbach’s efforts to popularize and extend the Berlin Group’s program of scientific philosophy in Turkey and throughout Europe in the 1930s, but also the forgotten work of Reichenbach’s students—most of them women—at Istanbul University. (shrink)