Abstract Artificial language philosophy (also called ‘ideal language philosophy’) is the position that philosophical problems are best solved or dissolved through a reform of language. Its underlying methodology—the development of languages for specific purposes—leads to a conventionalist view of language in general and of concepts in particular. I argue that many philosophical practices can be reinterpreted as applications of artificial language philosophy. In addition, many factually occurring interrelations between the sciences and philosophy of science are justified and clarified by the (...) assumption of an artificial language methodology. (shrink)

The main argument of this paper is that philosophical difficulties regarding scientific discovery arise mainly because philosophers base their arguments on a flawed picture of scientific research. Careful examination of N. R. Hanson's treatment of Kepler's discovery not only puts the rationality of this discovery beyond question, it also reveals what its rationality consists in. We can retrieve the point stressed by Hanson concerning the rational character of discoveries such as Kepler's even as we reject the type of "logical" analysis (...) he proposes. (shrink)

Evaluative studies of inductive inferences have been pursued extensively with mathematical rigor in many disciplines, such as statistics, econometrics, computer science, and formal epistemology. Attempts have been made in those disciplines to justify many different kinds of inductive inferences, to varying extents. But somehow those disciplines have said almost nothing to justify a most familiar kind of induction, an example of which is this: “We’ve seen this many ravens and they all are black, so all ravens are black.” This is (...) enumerative induction in itsfullstrength. For it does not settle with a weaker conclusion (such as “the ravens observed in the future will all be black”); nor does it proceed with any additional premise (such as the statistical IID assumption). The goal of this paper is to take some initial steps toward a justification for the full version of enumerative induction, against counterinduction, and against the skeptical policy. The idea is to explore various epistemic ideals, mathematically defined as different modes of convergence to the truth, and look for one that is weak enough to be achievable and strong enough to justify a norm that governs both the long run and the short run. So the proposal is learning-theoretic in essence, but a Bayesian version is developed as well. (shrink)

As scientists start to adopt machine learning (ML) as one research tool, the security of ML and the knowledge generated become a concern. In this paper, I explain how supervised ML can be improved with better data ontology, or the way we make categories and turn information into data. More specifically, we should design data ontology in such a way that is consistent with the knowledge that we have about the target phenomenon so that such ontology can help us make (...) the inductive leap. I do so by thinking through a thought experiment, Goodman’s New Riddle of Induction (Fact, fiction, and forecast, Harvard University Press, 1955). Goodman’s riddle helps flesh out three problems of induction: (1) the problem of equal goodies, that there are often too many equally good inductive results given the same data; (2) the problem of diverging performance, that these equally good results can give opposite predictions in the future; and (3) the problem of mediocrity, that when averaged across all equally possible datasets and tasks, no inductive algorithm outperforms any other. I show that all these three problems are manifested as real obstacles in ML practice, namely, the Rashomon effect (Breiman in Stat Sci 16(3):199–231, 2001), the problem of underspecification (D’Amour et al. in J Mach Learn Res, 2020, https://doi.org/10.48550/arXiv.2011.03395 ), and the No Free Lunch theorem (Wolpert in Neural Comput 8(7):1341–90, 1996, https://doi.org/10.1162/neco.1996.8.7.1341 ). Lastly, I argue that proper data ontology can help mitigate these problems and I demonstrate how using concrete examples from climate science. This research highlights the links between philosophers’ discussions of induction and implications in ML practice. (shrink)

Les origines de la statique, published in 1905 by physicist and historian of physical theories Pierre Duhem, offers not only a radically new interpretation of the history of statics but also represents a milestone in the methodology of history of science thanks to a particular form of historical reasoning as deployed by the author to justify his hypotheses. This article uses a quantitative analysis of the references contained in the book’s footnotes in order to study the way Duhem validated his (...) assertions. We highlight in particular his relentless will to return to the original texts. This method is one of the reasons why Duhem’s book (and more generally the Duhemian methodology) had such a lasting impact on French epistemology. (shrink)

ABSTRACTIn this paper, I offer an account of propositional learning: namely, learning that p. I argue for what I call the “Three Transitions Thesis” or “TTT” according to which four states and three transitions between them characterize such learning. I later supplement the TTT to account for learning why p. In making my case, I discuss mathematical propositions such as Fermat's Last Theorem and the ABC Conjecture, and then generalize to other mathematical propositions and to non-mathematical propositions. I also discuss (...) some interesting applications of the TTT, and reply to some noteworthy objections. (shrink)

Four instances of how science fiction contributes to the elucidation of novelty in the context of discovery are considered by extending existing discussions on temporal and use-novelty. In the first instance, science fiction takes an already well-known theory and produces its own re-interpretation; in the second instance, the scientific account is usually straightforward and whatever novelty that may occur would be more along the lines of how the science is deployed to extra-scientific matters; in the third instance, science fiction takes (...) an idea that appears impossible within the delimitations of reality and produces a universe where such a possibility becomes feasible; and in the fourth instance, science fiction extends from an idea already known at the time of the work’s production to simulate a possibility that could emerge should the extension be experimentally viable. However, the article will not end with a mere evaluation of these instances, but also proposes instances on how science fiction could contribute to new ways of experiencing, discerning, and working with scientific knowledge. (shrink)

ABSTRACT: Ever since Hume raised the problem of induction, many philosophers have tried to solve this problem; however, there still is no solution that has won wide acceptance among philosophers. According to Wilfrid Sellars, the reason is mainly that these philosophers have tried to justify induction by theoretical reasoning rather than by practical reasoning. In this paper I offer a sort of Sellarsian proposal. On the basis of the instrumental principle and the constructivist view of the concept of epistemic justification, (...) I argue that it is reasonable to accept induction.RÉSUMÉ: Depuis que Hume a soulevé le problème de l’induction, nombreux ont été les philosophes qui se sont attaqués à cette question. Aucun, pourtant, n’y a jusqu’à présent apporté de réponse satisfaisante et susceptible d’entraîner l’adhésion générale. Selon Wilfrid Sellars, la raison de cet échec est que les tentatives de justification se fondaient sur des raisonnements théoriques plutôt que pratiques. L’auteur offre ici une sorte de solution «sellarsienne» au problème. À partir du principe instrumental et de la conception constructiviste de la justification épistémique, l’auteur tente de démontrer qu’il est raisonnable d’accepter l’induction. (shrink)

In this paper I offer a coherentist justification of induction along the lines of a Sellarsian coherence theory. On this coherence theory, a proposition is justified if we can answer all objections raised against it in our social practice of demanding justification and responding to such demands. On the basis of this theory of justification, I argue that we are justified in accepting the uniformity of nature partly because we have no alternative but to accept it for rationally pursuing our (...) epistemic goal. In addition, my coherentist view explains which inductive inferences it is rational to accept. Furthermore, my coherentist view also explains why we can hardly determine a particular numerical value x such that we can draw the conclusion ‘it is rational to accept that p’ from the premise ‘the numerical probability of p is greater than or equal to x’. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes of scientific literature. Here (...) we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)

Intuitionistic meta-methodologies, which abound in recent philosophy of science, take the criterion of success for theories of scientific rationality to be whether those theories adequately explicate our intuitive judgments of rationality in exemplary cases. Garber's (1985) critique of Laudan's (1977) intuitionistic meta-methodology, correct as far as it goes, does not go far enough. Indeed, Garber himself advocates a form of intuitionistic meta-methodology; he merely denies any special role for historical (as opposed to contemporary or imaginary) test cases. What all such (...) positions lack is a base from which to inform, criticize, or restructure our core methodological intuitions. To acquiesce in this is to deny that exemplary cases can serve the sort of warranting role required for intuitionism. This point is reinforced by a series of reasons for denying the warranting role of pre-analytic judgments of rationality. These reasons point the way toward an improved approach to meta-methodology. (shrink)

This article canvasses five senses in which one might introduce an historical element into the philosophy of mathematics: 1. The temporal dimension of logic; 2. Explanatory Appeal to Context rather than to General Principles; 3. Heraclitean Flux; 4. All history is the History of Thought; and 5. History is Non-Judgmental. It concludes by adapting Bernard Williams’ distinction between ‘history of philosophy’ and ‘history of ideas’ to argue that the philosophy of mathematics is unavoidably historical, but need not and must not (...) merge with historiography. (shrink)

This is the first appearance in English translation (and the first appearance anywhere since a now-hard-to-find 1939 Turkish publication) of Reichenbach’s popular lecture “The Problem of Laws of Nature.” In his lecture, Reichenbach deftly carries his audience through a vast array of interrelated topics concerning probability, natural law, determinism, statistical mechanics, quantum mechanics, fate, explanation, the justification of induction, and the scientist as wagerer. A brief commentary situating the lecture in a broader historical and philosophical context is provided. The translation (...) aims to convey Reichenbach’s own voice, which is by turns serious, playful, ironic, admonitory and inspirational. (shrink)

In this paper I defend the claim that Paul Feyerabend held a robust metaphilosophical position for most of his philosophical career. This position I call Decision-Based Epistemology and reconstruct it in terms of three key components: a form of epistemic voluntarism concerning the justification of philosophical positions and a behaviorist account of philosophical beliefs, which allows him to cast normative arguments concerning philosophical beliefs in scientific methodology, such as realism, in terms of means-ends relations. I then introduce non-naturalist and naturalist (...) variants of his conception of normativity, which I trace back to his mentors Viktor Kraft and Karl Popper, respectively. This distinction, introduced on the metaphilosophical level, can can be put to use to explain key changes in Feyerabend’s philosophical proposals, such as the viability of his methodological argument for realism. I conclude that this Decision-Based Epistemology should be further explored by historically embedding Feyerabend’s metaphilosophy in a voluntarist tradition of scientific philosophy. (shrink)

Philosophical analyses of scientific concepts are legion. However, this literature is replete with methodological errors that have largely gone unnoticed. Five distinct projects are conflated which has led to faulty inferences, ambiguities, and mischaracterizations. There has also been some recent enthusiasm for approaches that attempt to rectify problematic scientific concepts but the motivations for these approaches are questionable. I am hopeful that by bringing these various issues to light that it will lead practitioners to be more explicit about their aims (...) and subsequently result in better analyses. (shrink)

Es gibt kein logisch gültiges Induktionsverfahren. Induktion ist Extrapolation von bisher erfahrenen Einzeltatsachen auf künftige. Die Zukunft ist aber selbst schon eine Extrapolation, keine Erfahrungstatsache, sondern Erwartung. Um sich nicht bloß auf historische Erkenntnis beschränken zu müssen, ist es unentbehrlich, die Voraussetzung zu machen, daß unter gleichen Bedingungen das Gleiche erfolgt. Auf Grund dieser Voraussetzung läßt sich deduktiv ableiten, was induktiv erwiesen werden sollte, aber nicht möglich ist. Logisch stichhaltige Begründung ist nur deduktiv möglich.

Nearly a half century ago, Thomas Kuhn, Paul Feyerabend, Stephen Toulmin, Norwood Russell Hanson, and others issued a challenge to us philosophers of science to make our field more relevant to actual science. That challenge, over time, has elicited a number of useful responses but very few efforts to situate science within its wider social context when philosophizing about science. The unit of analysis for philosophy of science has tended to remain science-in-a-vacuum. I consider the justifications we offer for this (...) failure, our resources for change, and our prospects if we do change. (shrink)

The distinction between discovery and justification is ambiguous. This obscures the debate over a logic of discovery. For the debate presupposes the distinction. Real discoveries are well established. What is well established is justified. The proper distinctions are three: initial thinking, plausibility, and acceptability. Logic is not essential to initial thinking. We do not need good supporting reasons to initially think of an hypothesis. Initial thoughts need be neither plausible nor acceptable. Logic is essential, as Hanson noted, to both plausibility (...) and acceptability. An hypothesis needs good supporting reasons to be either plausible or acceptable. Such reasons need not be relative to the particular scientific theory undergoing test at the time. There is no fundamental difference between reasons relevant to plausibility and acceptability. The difference is one of degree. Acceptability requires more than plausibility. (shrink)

Our main goal in this paper is to present and scrutinize Reichenbach’s own naturalism in our contemporary context, with special attention to competing versions of the concept. By exploring the idea of Reichenbach’s naturalism, we will argue that he defended a liberating, therapeutic form of naturalism, meaning that he took scientific philosophy to be a possible cure for bad old habits and traditional ways of philosophy. For Reichenbach, naturalistic scientific philosophy was a well-established form of liberation. We do not intend (...) to suggest that Reichenbach acted as an inventor of naturalism; nonetheless, invoking the term and the idea of ‘naturalism’ is more than a simple rhetorical strategy for rehabilitating Reichenbach as a forerunner of this field. We think that his ideas can make a valuable contribution to contemporary debates, and that he presents an interesting case among the other scientifically oriented proponents of his time. After presenting a short reconstruction of the meaning of naturalism—or, more appropriately, naturalisms—in order to be able to correctly situate Reichenbach within his own as well as a systematic context, we discuss Reichenbach’s naturalism against the background of his scientific philosophy, his views on the relation of common-sense knowledge to science, and his efforts at popularization. To delve deeper into this topic, we present a case study to show how Reichenbach argued that in both scientific and philosophical discussions, it is necessary to move from the request and value of truth to probability. And, finally, we argue that the liberation of knowledge and nature was a socio-political program for Reichenbach, who talked about his own scientific philosophy as “a crusade.” By emphasizing this aspect of Reichenbach’s naturalism, we may be in a better position to situate him in the history of analytic philosophy in general, and in the yet-to-be-written narrative of the naturalistic movement in particular. (shrink)

Traditional logical empiricist and more recent historicist positions on the logic of discovery are briefly reviewed and both are found wanting. None have examined the historical detail now available from recent research on Darwin, from which there is evidence for gradual transition in descriptive and explanatory concepts. This episode also shows that revolutionary research can be directed by borrowed metascientific objectives and heuristics from other disciplines. Darwin's own revolutionary research took place within an ontological context borrowed from non evolutionary predecessors (...) with methodological objectives borrowed from and justified by their success in Newton's physics. The logic of discovery is not a special form of inference from observation to theory, but rather a theory of the rationality of research, including principles bearing upon the rational choice of problems, or epistemic objectives, and heuristic, or means to solving the problems. Such choices can be justified only locally in the context of a relatively stable background ontology and substantive epistemology, not globally for all science. (shrink)

Do the same epistemic standards govern scientific and religious belief? Or should science and religion operate in completely independent epistemic spheres? Commentators have recently been divided on William James’s answer to this question. One side depicts “The Will to Believe” as offering a separate-spheres defense of religious belief in the manner of Galileo. The other contends that “The Will to Believe” seeks to loosen the usual epistemic standards so that religious and scientific beliefs can both be justified by a unitary (...) set of evidentiary rules. I argue that James did build a unitary epistemology but not by loosening cognitive standards. In his psychological research, he had adopted the Comtian view that hypotheses and regulative assumptions play a crucial role in the context of discovery even though they must be provisionally adopted before they can be supported by evidence. “The Will to Believe” relies on this methodological point to achieve a therapeutic goal—to convince despairing Victorians that religious faith can be reconciled with a scientific epistemology. James argues that the prospective theist is in the same epistemic situation with respect to the “religious hypothesis” as the scientist working in the context of discovery. (shrink)

Several philosophers have questioned the possibility of a genetic epistemology, an epistemology concerned with the developmental transitions between successive states of knowledge in the individual person. Since most arguments against the possibility of a genetic epistemology crucially depend upon a sharp distinction between the genesis of an idea and its justification, I argue that current philosophy of science raises serious questions about the universal validity of this distinction. Then I discuss several senses of the genetic fallacy, indicating which sense of (...) ‘genesis’ is relevant to epistemology. Next I consider the objection that psychology is irrelevant to epistemology, and that since "genetic epistemology" is really psychology, "genetic epistemology" is irrelevant to a real epistemology. Finally, I take up the objection that nothing discovered in genetic psychology could be relevant to a genetic epistemology. These last two arguments are based upon what I claim to be a mistaken notion of the nature of psychology. Suitably interpreted, psychology can assist genetic epistemology precisely in the way that the history of science assists current philosonhv of science. *I owe considerable thanks to Jann Benson, Ken Freeman, Bernie Rollin and Ron Williams for their helpful discussions concerning many of the issues discussed in this paper. I also wish to thank David Hamlyn, John Heil, William Lycan, Harvey Siegel and an anonymous reviewer for their comments and suggestions. It goes without saying that none of these individuals (especially Hamlyn and Siegel) necessarily agree with me. An earlier version of this paper was read at Colorado State University where the audience's comments were beneficial. (shrink)

Summary The recent turn to the ‘context of discovery’ and other ‘postmodernist’ developments in the philosophy of science have undermined the idea of a universal rationality of science. This parallels the fate of the classical dream of a logic of discovery. Still, justificational questions have remained as a distinct perspective, though comprising both consequential and generative justification — an insight delayed by certain confusions about the (original) context distinction. An examination of one particular heuristic strategy shows its local rationality; even (...) as an efficient procedure of hypothesis generation, it carries probative weight. It will be explored in which respects such a strategy can be normative or contain normative elements. (shrink)

This paper takes up a recent challenge to mechanistic approaches to computational implementation, the view that computational implementation is best explicated within a mechanistic framework. The challenge, what has been labelled “the abstraction problem”, claims that one of MAC’s central pillars – medium independence – is deeply confused when applied to the question of computational implementation. The concern is that while it makes sense to say that computational processes are abstract (i.e. medium-independent), it makes considerably less sense to say that (...) they are also concrete processes of a mechanism. After outlining the problem and its effect on MAC, I examine a recent response from Kuokkanen and Rusanen [2018. “Making Too Many Enemies: Hutto and Myin’s Attack on Computationalism.” Philosophical Explorations 21 (2): 282–294. doi:10.1080/13869795.2018.1477980]. I argue that Kuokkanen and Rusanen’s response comes up short insofar as it makes problematic trade-offs among various desiderata we have for a theory of implementation. This leads to a general dilemma for MAC: either give up being an objective theory of implementation or concede the abstraction problem and so reintroduce triviality concerns. In response, I argue that conceiving of computations as abstracta rather than illata provides a way to avoid the proposed dilemma and articulate a notion of medium independence that addresses the abstraction problem. (shrink)

We examine the epistemological foundations of a leading technique in the search for evidence of life on exosolar planets. Specifically, we consider the “transit method” for spectroscopic analysis of exoplanet atmospheres, and the practice of treating anomalous chemical compositions of the atmospheres of exosolar planets as indicators of the potential presence of life. We propose a methodology for ranking the anomalousness of atmospheres that uses the mathematical apparatus of support vector machines, and which aims to be agnostic with respect to (...) the particular chemical biosignatures of life. We argue that our approach is justified by an appeal to the “hinge” model of epistemic justification first proposed by as reported by Wittgenstein. We then compare our approach to previous work due to Walker et al. :779–824, 2018) and Cleland :722–729, 2019a; Does ‘life’ have a definition?, Cambridge University Press, New York, 2019b). (shrink)

I have applied a fairly general, learning theoretic perspective to some questions raised by Reichenbach's positions on induction and discovery. This is appropriate in an examination of the significance of Reichenbach's work, since the learning-theoretic perspective is to some degree part of Reichenbach's reliabilist legacy. I have argued that Reichenbach's positivism and his infatuation with probabilities are both irrelevant to his views on induction, which are principally grounded in the notion of limiting reliability. I have suggested that limiting reliability is (...) still a formidable basis for the formulation of methodological norms, particularly when reliability cannot possibly be had in the short run, so that refined judgments about evidential support must depend upon measure-theoretic choices having nothing to do in the short run with the truth of the hypothesis under investigation. To illustrate the generality of Reichenbach's program, I showed how it can be applied to methods that aim to solve arbitrary assessment and discovery problems in various senses. In this generalized Reichenbachian setting, we can characterize the intrinsic complexity of reliable inductive inference in terms of topological complexity. Finally, I let Reichenbach's theory of induction have the last say about hypothetico-deductive method. (shrink)

The paper investigates the implications of a nonaprioristic philosophy of science. It starts by developing a scheme of justification which draws its norms from the prevailing paradigm of rationality, which need not be universal or external. If the requirement for normativity is then abandoned we do not end up with a descriptive philosophy of science. The alternative to a prescriptive philosophy of science is a theoretical explanation of scientific decisions and acts. Explanation, rather than mere description, replaces justification; and the (...) paradigm of rationality becomes a scientific paradigm. The implications of these results for the discovery-justification distinction are investigated. An explanatory philosophy of science deals with the generation, as well as with the selection of scientific conjectures: both contexts have an epistemic dimension. * This paper was written under the auspices of the Wolfson Chair Extrordinary of Theoretical Physics, Tel Aviv University. (shrink)

In this paper I argue that entitlement theorists face a dilemma, the upshot of which is that entitlement theory is either unmotivated or incoherent. I begin with the question of how confident one should be in a proposition on the basis of an entitlement to trust, distinguishing between strong views that warrant certainty and weak views that warrant less than certainty. Strong views face the problem that they are incompatible with the ineliminable epistemic risk that is a feature of the (...) two main arguments in support of entitlement theory, the Strategic and Cognitive Project models. I then distinguish further between two types of weak views, arguing that both ultimately lead to condoning irrational doxastic attitudes. I end by considering whether entitlement theorists can avoid these issues by rejecting the assumption that entitlements to trust are warrants to adopt degrees of confidence. I argue that this strategy fails and note that entitlement theorists themselves explicitly endorse degree-of-confidence views. (shrink)

Evolutionary debunking arguments against religious beliefs move from the claim that religious beliefs are caused by off-track processes to the conclusion that said religious beliefs are unjustified and/or false. Prima facie, EDAs commit the genetic fallacy, unduly conflating the context of discovery and the context of justification. In this paper, we first consider whether EDAs necessarily commit the genetic fallacy, and if not, whether modified EDAs provide successful arguments against theism. Then, we critically evaluate more recent attempts to argue that (...) a more promiscuous evolutionary scepticism renders religious belief unjustified because, unlike commonsense and scientific beliefs, religious beliefs have no way out of such scepticism. (shrink)

Although adverbialism is not given much attention in current discussions of phenomenal states, it remains of interest to philosophers who reject the representationalist view of such states, in suggesting an alternative to a problematic ‘act-property’ conception. We discuss adverbialism and the formalization Tye once offered for it, and criticize the semantics he proposed for this formalization. Our central claim is that Tye’s ontological purposes could have been met by a more minimal view, which we dub “attributeism”. We then show that (...) there is no incompatibility between the ontology of attributeism and the postulation of pictorial representations in the brain. (shrink)

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 justificatory force of empirical reasoning always depends upon the existence of some synthetic, a priori justification. The reasoner must begin with justified, substantive constraints on both the prior probability of the conclusion and certain conditional probabilities; otherwise, all possible degrees of belief in the conclusion are left open given the premises. Such constraints cannot in general be empirically justified, on pain of infinite regress. Nor does subjective Bayesianism offer a way out for the empiricist. Despite often-cited convergence theorems, subjective (...) Bayesians cannot hold that any empirical hypothesis is ever objectively justified in the relevant sense. Rationalism is thus the only alternative to an implausible skepticism. (shrink)

The question I am addressing in this paper is the following: how is it possible to empirically test, or confirm, counterfactuals? After motivating this question in Section 1, I will look at two approaches to counterfactuals, and at how counterfactuals can be empirically tested, or confirmed, if at all, on these accounts in Section 2. I will then digress into the philosophy of probability in Section 3. The reason for this digression is that I want to use the way observable (...) absolute and relative frequencies, two empirical notions, are used to empirically test, or confirm, hypotheses about objective chances, a metaphysical notion, as a role-model. Specifically, I want to use this probabilistic account of the testing of chance hypotheses as a role-model for the account of the testing of counterfactuals, another metaphysical notion, that I will present in Sections 4 to 8. I will conclude by comparing my proposal to one non-probabilistic and one probabilistic alternative in Section 9. (shrink)

The thesis of this paper is that we can justify induction deductively relative to one end, and deduction inductively relative to a different end. I will begin by presenting a contemporary variant of Hume ’s argument for the thesis that we cannot justify the principle of induction. Then I will criticize the responses the resulting problem of induction has received by Carnap and Goodman, as well as praise Reichenbach ’s approach. Some of these authors compare induction to deduction. Haack compares (...) deduction to induction, and I will critically discuss her argument for the thesis that we cannot justify the principles of deduction next. In concluding I will defend the thesis that we can justify induction deductively relative to one end, and deduction inductively relative to a different end, and that we can do so in a non-circular way. Along the way I will show how we can understand deductive and inductive logic as normative theories, and I will briefly sketch an argument to the effect that there are only hypothetical, but no categorical imperatives. (shrink)

City College of New York The hereditarian theory of race differences in IQ was briefly revived with the appearance of The Bell Curve but then quickly dismissed. The authors attempt a defense of it here, with an eye to conceptual and logical issues of special interests to philosophers, such as alleged infirmities in the heritability concept. At the same time, some relevant post-Bell Curve empirical data are introduced.

This paper formally explores the common ground between mild versions of epistemological coherentism and infinitism; it proposes—and argues for—a hybrid, coherentist–infinitist account of epistemic justification. First, the epistemological regress argument and its relation to the classical taxonomy regarding epistemic justification—of foundationalism, infinitism and coherentism—is reviewed. We then recall recent results proving that an influential argument against infinite regresses of justification, which alleges their incoherence on account of probabilistic inconsistency, cannot be maintained. Furthermore, we prove that the Principle of Inferential Justification (...) has rather unwelcome consequences—formally resembling the Sorites paradox—as soon as it is iterated and combined with a natural Bayesian perspective on probabilistic inferences. We conclude that strong versions of foundationalism and infinitism should be abandoned. Positively, we provide a rough sketch for a graded formal coherence notion, according to which infinite regresses of epistemic justification will often have more than a minimal degree of coherence. (shrink)

A number of philosophers of science and statisticians have attempted to justify conclusions drawn from a finite sequence of evidence by appealing to results about what happens if the length of that sequence tends to infinity. If their justifications are to be successful, they need to rely on the finite sequence being either indefinitely increasing or of a large size. These assumptions are often not met in practice. This paper analyzes a simple model of collecting evidence and finds that the (...) practice of collecting only very small sets of evidence before taking a question to be settled is rationally justified. This shows that the appeal to long run results can be used neither to explain the success of actual scientific practice nor to give a rational reconstruction of that practice. (shrink)

: Since its almost serendipitous rediscovery in the late seventies, Fleck's monograph, Entstehung und Entwicklung einer wissenschaftlichen Tatsachee, initially published in 1935, translated into English in 1979 (Genesis and Development of a Scientific Fact), has been met with increasing acclaim within the philosophy and the sociology of science. In historizing, sociologizing and relativizing science, Fleck is claimed to have expressed prescient views on the history, philosophy and sociology of science and in deeply influencing Kuhn. Though the neglect of Fleck by (...) his contemporaries has been difficult to account for, the basis of his epistemology has evoked little interest, partly due to the lack of apparent sources. Fleck's philosophical writings, published between 1927 and 1939, indicate, however, a polemic, deeply ingrained in an ongoing debate, on the standing of old established scientific disciplines versus new and emerging ones, occasioned by the rapid changes within the natural sciences. Most obvious to the lay community, and also reflected in the new positivist philosophy, were the revolutionary changes within physics. As a participant in the debate, eagerly striving for recognition, Fleck used modern physic heuristically as the basis of his epistemology. The tracing of his sources, and the voices of other contemporaneous scientists opposing his views, are attempted. (shrink)

I examine the views of Thomas Reid with respect to a certain version of the problem of induction: Why are inductions using natural kinds successful, and what justifies them? I argue that while both Reid holds a kind of conventionalist view about natural kinds, this conventionalism has a realistic component which allows him to answer both questions.

In 1958, Nathaniel Branden founded what would become the Nathaniel Branden Institute and launched the Objectivist movement through a course of twenty lectures he called “The Basic Principles of Objectivism.” In 2009, that lecture series became a book and an important historical record. This review captures the essence of those lectures while also taking a close look at Branden’s philosophical odyssey. It attempts to recount whether and how far the man whom Ayn Rand saw as the living image of John (...) Galt distanced himself from the guidance he had once given in the years after NBI closed its doors forever. (shrink)

Knowing is something that we do not have much of a theory about., p. 365.)Interest has recently been shown in causal theories of perception, memory, inference, reference, truth, justification and belief, as well as in a more general “causal theory of knowledge” which would embrace and connect all of these concepts within a broad epistemological framework. The burden of this paper is that prospects are poor for an interesting and general enough causal theory of knowledge. A threat to generality arises (...) from the causal theory's difficulties with knowledge of general truths. A threat to interest arises when attempts to accommodate general truths lead to a weakening of the notion of “causal connection” appealed to, making dubious the explanatory force of such an appeal. (shrink)

Philosophy of the Social Sciences, Volume 52, Issue 3, Page 132-149, June 2022. An influential strand within Science and Technology Studies rejects the idea that science produces representations referring to objects or processes that exist independently of it. This radical ‘turn’ has been framed as ‘constructionist’, ‘nominalist’, and more recently as ‘ontological’. Its central argument is that science constructs or enacts rather than represents. Since most practitioners of science believe that it involves representation, an implication of the radical turn must (...) be that ‘representation’ is a folk concept; perhaps even a myth or an ideology. This paper explores this anti-representationalism and its implications for the relationship between STS and mainstream social science, in part through drawing parallels with ethnomethodology. (shrink)