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Das Ziel: Konstitutionssystem der Begriffe Das Ziel der vorliegenden Untersuchungen ist die Aufstellung eines erkenntnismäßig-logischen Systems der ...

How do we know what we "know"? How did we –as individuals and as a society – come to accept certain knowledge as fact? In _Human Knowledge,_ Bertrand Russell questions the reliability of our assumptions on knowledge. This brilliant and controversial work investigates the relationship between ‘individual’ and ‘scientific’ knowledge. First published in 1948, this provocative work contributed significantly to an explosive intellectual discourse that continues to this day.

This is a book that no one but Weyl could have written--and, indeed, no one has written anything quite like it since.

This fascinating study reveals the extensive influence of Cold War politics on academia, philosophical inquiry, and the course of intellectual history. From the rise of popular novels that championed the heroism of the individual to the proliferation of abstract art as a counter to socialist realism, the years of the Cold War had a profound impact on American intellectual life. As John McCumber shows in this fascinating account, philosophy, too, was hit hard by the Red Scare. Detailing the immense political (...) pressures that reshaped philosophy departments in midcentury America, he shows how the path of American philosophy was altered to follow a political agenda. McCumber begins with the story of Max Otto, whose appointment to the UCLA Philosophy Department in 1947 was met with widespread protest charging him as an atheist. Drawing on Otto’s case, McCumber details the conservative efforts that, by 1960, had all but banished existentialism and pragmatism—not to mention Marxism—from philosophy departments across the country. These paradigms were replaced with what McCumber calls Cold War philosophy, ideas that valorized scientific objectivity and free markets and which downplayed the anti-theistic implications of modern thought. As McCumber shows, the effects of this trend can still be seen at American universities today. (shrink)

Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.

In the late 1930s, a few years before the start of the Second World War, a small number of European philosophers of science emigrated to the United States, escaping the increasingly perilous situation on the continent. Among the first expatriates were Rudolf Carnap and Hans Reichenbach, arguably the most influential logical empiricists of their time. In this two-part paper, I reconstruct Carnap’s and Reichenbach’s surprisingly numerous interactions with American academics in the decades before their move in order to explain the (...) impact of their arrival in the late 1930s. This second part traces Reichenbach’s development and focuses on his frequent interactions with American academics throughout the 1930s. I show that Reichenbach was quite ignorant about developments in Anglophone philosophy in the first stages of his career but became increasingly focused on the United States from the late 1920s onwards. I reconstruct Reichenbach’s efforts to find a job across the Atlantic and show that some of his English publications—most notably Experience and Prediction—were attempts to change the American narrative about logical empiricism. Whereas U. S. philosophers identified scientific philosophy with the views of the Vienna Circle, Reichenbach aimed to market his probabilistic philosophy of science as a subtler alternative. (shrink)

In this book, Michael Strevens aims to explain how simplicity can coexist with, indeed be caused by, the tangled interconnections between a complex system's ...

The philosophical theory of scientific explanation proposed here involves a radically new treatment of causality that accords with the pervasively statistical character of contemporary science. Wesley C. Salmon describes three fundamental conceptions of scientific explanation--the epistemic, modal, and ontic. He argues that the prevailing view is untenable and that the modal conception is scientifically out-dated. Significantly revising aspects of his earlier work, he defends a causal/mechanical theory that is a version of the ontic conception. Professor Salmon's theory furnishes a robust (...) argument for scientific realism akin to the argument that convinced twentieth-century physical scientists of the existence of atoms and molecules. To do justice to such notions as irreducibly statistical laws and statistical explanation, he offers a novel account of physical randomness. The transition from the "reviewed view" of scientific explanation to the causal/mechanical model requires fundamental rethinking of basic explanatory concepts. (shrink)

From 1929 onwards, C. I. Lewis defended the foundationalist claim that judgements of the form 'x is probable' only make sense if one assumes there to be a ground y that is certain (where x and y may be beliefs, propositions, or events). Without this assumption, Lewis argues, the probability of x could not be anything other than zero. Hans Reichenbach repeatedly contested Lewis's idea, calling it "a remnant of rationalism". The last move in this debate was a challenge by (...) Lewis, defying Reichenbach to produce a regress of probability values that yields a number other than zero. Reichenbach never took up the challenge, but we will meet it on his behalf, as it were. By presenting a series converging to a limit, we demonstrate that x can have a definite and computable probability, even if its justification consists of an infinite number of steps. Next we show the invalidity of a recent riposte of foundationalists that this limit of the series can be the ground of justification. Finally we discuss the question where justification can come from if not from a ground. (shrink)

"[This book] proposes new foundations for the Bayesian principle of rational action, and goes on to develop a new logic of desirability and probabtility."—Frederic Schick, _Journal of Philosophy_.

Fleeing from the Nazi regime, along with many German refugees, Hans Reichenbach came to teach at Istanbul University in 1933, accepting the invitation of the Turkish government and stayed in Istanbul until 1938. While much is known about his work and life in Istanbul, the existing literature relies mostly on his letters and works. In this article I try to shed more light on Reichenbach's scholarly activities and personal life by also taking into account the Turkish sources and the academic (...) context in which Reichenbach taught and worked. (shrink)

The notion of reduction in the natural sciences has been assimilated to the notion of inter-theoretical explanation. Many philosophers of science (following Nagel) have held that the apparently ontological issues involved in reduction should be replaced by analyses of the syntactic and semantic connections involved in explaining one theory on the basis of another. The replacement does not seem to have been especially successful, for we still lack a plausible account of inter-theoretical explanation. I attempt to provide one.

One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for (...) a new generation of readers. (shrink)

In _Reliable Reasoning_, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory, the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT. After discussing philosophical attempts to evade the (...) problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT. (shrink)

This volume thus clears the ground for the productive and fruitful integration of these new developments into philosophy of science.

Universally recognized as bringing about a revolutionary transformation of the notions of space, time, and motion in physics, Einstein's theory of gravitation, known as "general relativity," was also a defining event for 20th century philosophy of science. During the decisive first ten years of the theory's existence, two main tendencies dominated its philosophical reception. This book is an extended argument that the path actually taken, which became logical empiricist philosophy of science, greatly contributed to the current impasse over realism, whereas (...) new possibilities are opened in revisiting and reviving the spirit of the more sophisticated tendency, a cluster of viewpoints broadly termed transcendental idealism, and furthering its articulation. It also emerges that Einstein, while paying lip service to the emerging philosophy of logical empiricism, ended up siding de facto with the latter tendency. Ryckman's work speaks to several groups, among them philosophers of science and historians of relativity. Equations are displayed as necessary, but Ryckman gives the non-mathematical reader enough background to understand their occurrence in the context of his wider philosophical project. (shrink)

This book, published in 2000, is a clear account of causation based firmly in contemporary science. Dowe discusses in a systematic way, a positive account of causation: the conserved quantities account of causal processes which he has been developing over the last ten years. The book describes causal processes and interactions in terms of conserved quantities: a causal process is the worldline of an object which possesses a conserved quantity, and a causal interaction involves the exchange of conserved quantities. Further, (...) things that are properly called cause and effect are appropriately connected by a set of causal processes and interactions. The distinction between cause and effect is explained in terms of a version of the fork theory: the direction of a certain kind of ordered pattern of events in the world. This particular version has the virtue that it allows for the possibility of backwards causation, and therefore time travel. (shrink)

This book introduces a new approach to the issue of radical scientific revolutions, or "paradigm-shifts," given prominence in the work of Thomas Kuhn. The book articulates a dynamical and historicized version of the conception of scientific a priori principles first developed by the philosopher Immanuel Kant. This approach defends the Enlightenment ideal of scientific objectivity and universality while simultaneously doing justice to the revolutionary changes within the sciences that have since undermined Kant's original defense of this ideal. Through a modified (...) Kantian approach to epistemology and philosophy of science, this book opposes both Quinean naturalistic holism and the post-Kuhnian conceptual relativism that has dominated recent literature in science studies. Focussing on the development of "scientific philosophy" from Kant to Rudolf Carnap, along with the parallel developments taking place in the sciences during the same period, the author articulates a new dynamical conception of relativized a priori principles. This idea applied within the physical sciences aims to show that rational intersubjective consensus is intricately preserved across radical scientific revolutions or "paradigm-shifts and how this is achieved. (shrink)

The dissertation is a detailed critique of the main elements of Hans Reichenbach's pragmatic treatment of the problem of induction. In the introductory Chapter I we give a broad overview of Reichenbach's theory of probability and induction, indicating that he approaches the problem of justifying inductive inference in general by attempting first to reduce all kinds of non-deductive reasoning to combinations of inferences in accordance with the rules of deductive logic together with RRI -- the "rule of induction." Having thus (...) reduced inductive inference to its elementary components, he then proposes to solve the problem of justification by providing independent pragmatic justifications for those components. In Chapter II we show that Reichenbach's analysis of inductive inference involves a second non-deductive elementary component, a rule of application (RRA), which he fails to integrate properly into his theory of induction. RRI is a rule for "inferring" statistical probability statements from observed relative frequencies -- a rule of inverse inference. RRA is a rule for "predicting" individual events on the basis of statistical probability statements -- a rule of direct inference. We show that Reichenbach construes elementary inductive "inference" in such a way that only a pragmatic justification of the _combined_ use of RRI and RRA will suffice for a Reichenbachian solution to the problem of induction. It is further argued that there is no reasonable pragmatic point of view from which RRI alone could be justified. In Chapter III we find that RRA, when suitably modified to avoid a certain defect in Reichenbach's version of it, can justifiably be used by an agent only if he has (a) knowledge of a certain probability, (b) knowledge that he is going to deal with almost all of the members of a certain sequence, and (c) knowledge about the sizes of the utility stakes associated with the sequence in question. Reichenbach makes no provision for (c), while his attempt to satisfy the requirement (b) by appeal to Poisson sequences turns out to be fundamentally unsatisfactory. The knowledge required by (a) is presumably to be supplied through the use of RRI. In Chapter IV we consider the combination of RRI and RRA, which yields a rule for "predicting" individual events on the basis of observed relative frequencies -- i.e., a rule of predictive inference. The task of justifying such predictive inference is the heart of the problem of induction as it arises for Reichenbach. Yet we argue that RRI does not yield the probability knowledge required for the statistically justified use of RRA, while an alternative approach to the justification of predictive inference suggested by Reichenbach's reply to an old objection of Paul Hertz is shown to require a conception of predictive inference which is pragmatically unacceptable. Reichenbachian predictive inference thus remains unjustified. In Chapter V we consider in detail Reichenbach's "method of correction," which lies at the foundation of both his theory of higher-level probabilities and his attempted epistemological reduction of all scientific inference to a combination of deductive logic with his elementary inductive rule(s). His justificatory arguments in this connection concerning earliness of probability-finding are found to be grossly unsatisfactory, while the prospects for an alternative statistical justification are shown to be nil. Thus, the method of correction and the reductive developments which depend on it appear to be quite groundless. In Chapter VI, we draw the earlier results together and conclude that Reichenbach's attempt to provide pragmatic foundations for an empiricist theory of knowledge falls far short of its goal in ways which have not generally been recognized. Finally, we offer some brief reflections on the pragmatic rationale which underlies the Reichenbachian program. (shrink)

In his Scientific Representation (2008), van Fraassen argues that measuring is a form of representation. In fact, every measurement pinpoints its target in accordance with specific operational rules within an already-constructed theoretical space, in which certain conceptual interconnections can be represented. Reichenbach’s 1920 account of coordination is particularly interesting in this connection. Even though recent reassessments of this account do not do full justice to some important elements lying behind it, they do have the merit of focusing on a different (...) aspect of his early work that traditional interpretations of relativized a priori principles have unfortunately neglected in favour of a more “structural” role for coordination. In Reichenbach’s early work, however, the idea of coordination was employed not only to indicate theory-specific fundamental principles such as the ones suggested in the literature on conventional principles in science, but also to refer to more “basic” assumptions. In Reichenbach, these principles are preconditions both of the individuation of physical magnitudes and of their measurement, and, as such, they are necessary to approach the world in the first instance. This paper aims to reassess Reichenbach’s approach to coordination and to the representation of physical quantities in light of recent literature on measurement and scientific representation. (shrink)

In the early 1920s, Hans Reichenbach and Kurt Lewin presented two topological accounts of time that appear to be interrelated in more than one respect. Despite their different approaches, their underlying idea is that time order is derived from specific structural properties of the world. In both works, moreover, the notion of genidentity--i.e., identity through or over time--plays a crucial role. Although it is well known that Reichenbach borrowed this notion from Kurt Lewin, not much has been written about their (...) relationship, nor about the way Lewin implemented this notion in his own work in order to ground his topology. This paper examines these two early versions of the topology of time, and follows the extent of Lewin’s influence on Reichenbach’s proposal. (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)