En este trabajo nos proponemos estudiar los vínculos que Cassirer establece entre los conceptos de causalidad, invariancia y sistematicidad en el conocimiento de la física. Para ello, comenzaremos considerando el marco general en el que se inscribe el análisis que Cassirer realiza. Este marco es el provisto por el método trascendental. En segundo lugar, consideraremos el principio de causalidad de Kant a la luz de su distinción entre principios constitutivos y principios regulativos de la experiencia. Luego, discutiremos las dificultades que (...) Cassirer encuentra en la doctrina kantiana de la causalidad. Más adelante nos referiremos al sistema de los enunciados de la física, para poder así determinar el modo en el que se relacionan los conceptos de causalidad, invariancia y sistematicidad. (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 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)

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)

Pourquoi accorder un rôle essentiel à la délibération publique dans le choix des normes éthiques et politiques guidant les sciences? À partir d’un débat récent en économie du bien-être, cet article soutient que l’introduction de normes éthiques et politiques en sciences doit respecter le principe de neutralité procédurale, et qu’une délibération publique bien encadrée respecte ce principe. Je présenterai deux raisons de croire que les sciences doivent respecter la neutralité procédurale. Le premier argument est lié au rôle que devrait jouer (...) l’examen libre et critique dans le développement des sciences. Le second argument repose sur l’idée que les sciences devraient être sensibles aux procédures présentant le meilleur potentiel épistémique. Pour ces deux raisons, si elle prend position en faveur d’idéaux normatifs, l’économie du bien-être devrait se tourner vers une approche délibérative, rationnelle et impartiale pour y parvenir. (shrink)

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)

Metaphilosophy, Volume 53, Issue 1, Page 70-84, January 2022.

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)

Many pragmatic philosophers insist that causality in human behavior is to be explained by psychological field theorism rather than by modern behaviorism. This paper attempts to demonstrate (1) that pragmatists often support one aspect of an untenable disjunction in psychological theory, (2) that the asserted disjunction is but a methodological distinction, and (3) that the causal order in human behavior is most likely to be profitably described, predicted, or explained by the methods of modern behaviorism.

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 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)

Although Hume's analysis of geometry continues to serve as a reference point for many contemporary discussions in the philosophy of science, the fact that the first Enquiry presents a radical revision of Hume's conception of geometry in the Treatise has never been explained. The present essay closely examines Hume's early and late discussions of geometry and proposes a reconstruction of the reasons behind the change in his views on the subject. Hume's early conception of geometry as an inexact non-demonstrative science (...) is argued to be a consequence of his attempt to discredit geometrical proofs of infinite divisibility of extension by anchoring the meaning of geometrical concepts in inherently inexact qualitative measurement procedures. This measurement-based attack on the exactness and certainty of geometry is analyzed and shown to be both self-refuting and inconsistent with the general epistemological framework of the Treatise. The revised conception of geometry as a demonstrative science in the first Enquiry is then interpreted as Hume's response to the failure of his earlier attempt to discredit geometrical proofs of infinite divisibility of extension. (shrink)

Understanding the social bases of what John Rawls meant by justice requires understanding a central part of Rawls’s professional life: his role as a teacher. As this essay shows, Rawls’s approach to teaching was not ancillary to his approach to heady philosophical issues like the justification of moral reasoning. Rather, there’s an ethic that runs through Rawls’s work, one focused on deliberation and consensus-seeking, and one whose strengths and weaknesses are easiest to see when you examine his teaching.

آکوئیناس، برخلاف تلقی شارحان بزرگی چون ژیلسون، نه تصحیحی در برهان‌های امکان سینوی و ابن‌رشدی صورت داده است، و نه اساساً به مواضع اختلاف آن‌ها آگاهی داشته است. از این رو حتی نتوانسته است در موارد اختلاف آنها، آگاهانه وارد بحث شود و داوری درستی بکند یا دست کم از یکی از آن دو آگاهانه جانبداری کند. تقریر‌ نخست او ترکیبی ناشیانه از تقریرهای سینوی و ابن‌رشدی است که حاکی از عدم تسلط او بر مبانی فلسفی ابن‌سینا و ابن‌رشد است. (...) در تقریر دوم هم بنا بر یک قرائت از آن، همین اشکال وارد است، علاوه بر آن که فرض‌های نادرستی هم در کار آورده است. در هر حال، او تحت تأثیر ابن‌رشد برهان‌های خویش را دو مرحله ای تنظیم کرده است، بی آن که بداند که ابن‌رشد در این کار معذور بوده است.محوریت علل و معلول‌های طبیعی در این برهان و تطبیق امتناع تسلسل بر آن از دیگر اشکالات این تقریر است. (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.

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 this paper, I take issue with a core commitment of logical conventionalism: that we impose a logic on ourselves by adopting general linguistic conventions governing our use of logical terms, thereby determining the meanings of the logical constants and which of our inferences are valid. Drawing on Kripke’s ‘adoption problem’, I argue that general logical principles cannot be adopted, either explicitly or implicitly. I go on to argue that the meanings of our logical terms, and the validity of our (...) inferences, cannot depend on our adoption of logico-linguistic conventions. (shrink)

In The Uses of Argument, Stephen Toulmin proposed a model for the layout of arguments: claim, data, warrant, qualifier, rebuttal, backing. Since then, Toulmin’s model has been appropriated, adapted and extended by researchers in speech communications, philosophy and artificial intelligence. This book assembles the best contemporary reflection in these fields, extending or challenging Toulmin’s ideas in ways that make fresh contributions to the theory of analysing and evaluating arguments.

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...

The question of the political potential possessed by the philosophies of the Vienna Circle is complex for more than one reason. It is so partly due to the politically heterogeneous membership of the Circle, partly due to the difficult if not extreme political circumstances under which they had to operate, and partly due to the variable meanings of the parameter "political," some of which are and some of which are not compatible with, in turn, variable versions of the doctrine of (...) the value-neutrality of science. For instance, philosophies of science may steadfastly be standing guard against pseudo-scientific nonsense being paraded as worthy of credence in public discourse, this concern for intellectual hygene... (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. /// 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)

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)

Creative approaches in recent work in science studies can be usefully connected with ideas from the pragmatic tradition. This article both criticizes and builds on the contemporary pragmatic views of Hacking, Stich, and others. It selects a theme from the work of James and Dewey as a heuristic for a new, and necessary, pragmatic epistemology of science.

Given the sharp distinction that follows from Hume’s Fork, the proper epistemic status of propositions of mixed mathematics seems to be a mystery. On the one hand, mathematical propositions concern the relation of ideas. They are intuitive and demonstratively certain. On the other hand, propositions of mixed mathematics, such as in Hume’s own example, the law of conservation of momentum, are also matter of fact propositions. They concern causal relations between species of objects, and, in this sense, they are not (...) intuitive or demonstratively certain, but probable or provable. In this article, I argue that the epistemic status of propositions of mixed mathematics is that of matters of fact. I wish to show that their epistemic status is not a mystery. The reason for this is that the propositions of mixed mathematics are dependent on the Uniformity Principle, unlike the propositions of pure mathematics. (shrink)

The relationship between American pragmatism and logical empiricism is complicated at best. The received view is that by around the late 1930s or early 1940s pragmatism had been replaced, supplanted, or eclipsed by the younger and more logic-oriented form of empiricism developed in interwar Vienna. Recently, however, this picture has been challenged, and this paper offers further reasons for thinking that the received view is inadequate. Through a critical examination of William James's Pragmatism and “The Sentiment of Rationality” and Rudolf (...) Carnap's “Elimination of Metaphysics Through Logical Analysis of Language” and other works, the paper builds a case for the existence of a rather striking correspondence between the work of one of pragmatism's most vaunted figures and the thought of logical empiricism's most famous advocate. Not only were both philosophers interested in what might be called metaphilosophy or the psychology of philosophy, both held very similar deflationary views. (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)

Many parts of the contemporary philosophical debate have been built on the radicalization of conclusions derived from the acceptance of a certain set of classical dichotomies. It also discusses how pragmatism and abduction are currently presented to solve the problems arising from these dichotomies. For this reason, the efforts of this article have been directed to analyze the impact of this fact on the philosophy of science and logic. The starting point is that accepting abduction implies, in many ways, accepting (...) the foundations of pragmatism. Also, that the analysis of such problems from pragmatism and the particular use of abduction dissolve the dichotomies and, with it, also modify the philosophical problems related to them. Therefore, I propose to understand abduction as the right conceptual device to review the problems and debates of the twentieth century’s epistemology from a pragmatic perspective. In doing so, the aim is to propose that the current use of abduction in contemporary debates may imply a change of the philosophical perspective. (shrink)

Reichenbach sought to resolve Hume's problem of the justification of induction by means of a pragmatic vindication that relies heavily on the convergence properties of his rule of induction. His attempt to rule out all other asymptotic methods by an appeal to descriptive simplicity was unavailing. We found that important progress in that direction could be made by invoking normalizing conditions (consistency) and methodological simplicity (as a basis for invariance), but that they did not do the whole job. I am (...) proposing that, in the end, Reichenbach's own distinction between discovery and justification holds the key to the solution. (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)