Se explican dos ideas capitales de la epistemología de Bachelard y su relación mutua: la ciencia es fenomenotécnica, la ciencia inventa sus conceptos La producción de fenómenos con arreglo a esos conceptos certifica su idoneidad.We explain two main ideas of Bachelard’s philosophy of science and their mutual relation. Science produces phenomena and creates its own concepts. Production of phenomena according to these concepts certifies their aptness.

Proposition 5.122 of Wittgenstein’s Tractatus has been the source of much puzzlement among interpreters, so much so that no fully satisfactory account is yet available. This is unfortunate, if only because the containment account of logical consequence has a venerable tradition behind it. Pasquale Frascolla’s interpretation of proposition 5.122 is based on a valid argument and one true premise. However, the argument explains sense containment only in an indirect way, leaving some crucial questions unanswered. Besides, Frascolla does not address the (...) issue of how to make sense containment notationally perspicuous, an essential theme in Wittgenstein’s reflections. In this paper, we elaborate on Frascolla’s account by looking at the issue through the Tractarian notion of logical space. Our analysis shows that, for containment to be fully appreciated, one should adopt a negative perspective on the notion of sense, in line with the exclusionary theory of conceptual content, as labelled by Ian Rumfitt. Besides this, we introduce and discuss two methods—one envisaged by Wittgenstein himself—for making sense containment notationally perspicuous. (shrink)

Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be 'biologically plausible': models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting existing data, (...) and (3) the derivation of new predictions. All three sources of support require modelers to be explicit about the ontology of the model, and require the existence of data constraining the modeling. For situations in which such data are only sparsely available, we suggest a new approach. If several models are constructed that together form a hierarchy of models, higher-level models can be constrained by lower-level models, and low-level models can be constrained by behavioral features of the higher-level models. Modeling the same substrate at different levels of representation, as proposed here, thus has benefits that exceed the merits of each model in the hierarchy on its own. (shrink)

Addressing Walter Hopp’s original application of the distinction between agent-fallibility and method-fallibility to phenomenological inquiry concerning epistemic justification, I question whether these are the only two forms of fallibility that are useful or whether there are not also others that are needed. In doing so, I draw my inspiration from Husserl, who in the beginnings of his phenomenological investigations struggled with the distinction between noetic and noematic analyses. For example, in the Preface to the Second Edition of the Logical Investigations (...) he criticizes the First Investigation as having been “one-sidedly” noetically directed and as having thus neglected the noematic aspects of meaning (XVIII 13–14). Also, in an addendum to the Fifth Investigation he notes that in the transition from the First Edition to the Second he has learned to broaden the concept of “phenomenological content” to include not only the “real” ( reell ) contents (noetic, subjective) of consciousness but also the “intentional” (noematic, objective) (XIX/1 411). The fact that, in gradually moving from consciousness (noesis) to what consciousness is of (noema), Husserl struggled with this distinction is an indication of the immensity of the perplexing problems and potential solutions that Hopp has led the phenomenology of knowledge into by introducing his useful notions of agent-fallibility and method-fallibility. Like Husserl, he has focused mainly and mostly on the noetic issues; like Husserl as well, I will try to move step by step from the noetic area into the noematic. I conclude that Hopp’s approach has the potential to become seminal. (shrink)

Deductive inference is usually regarded as being “tautological” or “analytical”: the information conveyed by the conclusion is contained in the information conveyed by the premises. This idea, however, clashes with the undecidability of first-order logic and with the (likely) intractability of Boolean logic. In this article, we address the problem both from the semantic and the proof-theoretical point of view. We propose a hierarchy of propositional logics that are all tractable (i.e. decidable in polynomial time), although by means of growing (...) computational resources, and converge towards classical propositional logic. The underlying claim is that this hierarchy can be used to represent increasing levels of “depth” or “informativeness” of Boolean reasoning. Special attention is paid to the most basic logic in this hierarchy, the pure “intelim logic”, which satisfies all the requirements of a natural deduction system (allowing both introduction and elimination rules for each logical operator) while admitting of a feasible (quadratic) decision procedure. We argue that this logic is “analytic” in a particularly strict sense, in that it rules out any use of “virtual information”, which is chiefly responsible for the combinatorial explosion of standard classical systems. As a result, analyticity and tractability are reconciled and growing degrees of computational complexity are associated with the depth at which the use of virtual information is allowed. (shrink)

Karl Popper’s world 3 theory proposes that the products of the human mind can be considered a third world, partially autonomous of the mental and physical worlds, and real, because it can produce effects on both. When he first introduced the idea in 1960, he took even his close colleagues and students by surprise. Yet tracing the development of his idea shows a great deal in Popper’s previous work and thought led up to what seemed his startlingly new proposal. And (...) far from being the philosophy of his dotage, as some sneered, his world 3 proposal, once fully shaped, became a keystone of his thought. (shrink)

The perspective drawn from evolutionary science, undoubtedly one of the most remarkable intellectual achievements in our conception of the world, poses a deep challenge to epistemology and the meaning of truth. The present paper aims to examine the difficulties offered by the prevailing biological model for the emergence and development of mind in its attempt at constructing a possible philosophical theory of truth. We propose a solution which, while preserving the priority of the distinction between truth and falsehood, is nonetheless (...) capable of reconciling its philosophical fundamentals with the scientific evidence concerning the evolutionary origin of our capacity to recognize truth and falsehood. (shrink)

There has been an exponential growth in research examining the neurological basis of human cognition and learning. Little is known, however, about the extent to which sports coaches are aware of these advances. Consequently, the aim of the present study was to examine the prevalence of pseudoscientific ideas among British and Irish sports coaches. In total, 545 coaches from the United Kingdom and Ireland completed a measure that included questions about how evidence-based theories of the brain might enhance coaching and (...) learning, how they were exposed to these different theories, and their awareness of neuromyths. Results revealed that the coaches believed that an enhanced understanding of the brain helped with their planning and delivery of sports sessions. Goal-setting was the most frequently used strategy. Interestingly, 41.6% of the coaches agreed with statements that promoted neuromyths. The most prevalent neuromyth was “individuals learn better when they receive information in their preferred learning style (e.g., auditory, visual, or kinesthetic)”, which 62% of coaches believed. It is apparent that a relatively large percentage of coaches base aspects of their coaching practice on neuromyths and other pseudoscientific ideas. Strategies for addressing this situation are briefly discussed and include changing the content of coach education programs. (shrink)

My aim in this paper is to explain how universal statements, as they occur in scientific theories, are actually tested by observational evidence, and to draw certain conclusions, on that basis, about the way in which scientific theories are tested in general. 1 But I am pursuing that aim, ambitious enough in and of itself, in the service of even more ambitious projects, and in the first place: (a) to say what is distinctive about modern science, and especially modern physical (...) science, as a human intellectual activity; and (b) to show how this distinctiveness explains the unique status of modern science in human intellectual life. So I will begin by saying a few words about that larger project. One might doubt, first, whether that project is legitimate. Although everything is different from everything else, the question “What is distinctive about X?” is not necessarily well put, because X may not be anything—that is, anything distinct. And there are indeed many philosophers, otherwise of the most diverse intellectual backgrounds and tendencies, who would deny, in various ways, that modern science is a distinct thing, or that its status is unique. It seems to me that they deny something terrifyingly obvious— a fact which confronts us far more urgently than the fact that, say, ravens are black. I will put off further remarks about this until the end of the paper, however, because the discussion of my more limited present aim will focus precisely on the ways to tell when a question is well put, and whether there is such a (distinct) thing as X. That one’s methodological problems are also the subject of one’s investigation is a sign that that investigation is philosophical, although (or because) also a threat to its coherence. Second, some points about methodology. I am not a sociologist, or even a historian, nor (unlike some recent philosophers of science) will I pretend to be.. (shrink)

Abstract : A measurement result is never absolutely accurate: it is affected by an unknown “measurement error” which characterizes the discrepancy between the obtained value and the “true value” of the quantity intended to be measured. As a consequence, to be acceptable a measurement result cannot take the form of a unique numerical value, but has to be accompanied by an indication of its “measurement uncertainty”, which enunciates a state of doubt. What, though, is the value of measurement uncertainty? What (...) is its numerical value: how does one calculate it? What is its epistemic value: how one should interpret a measurement result? Firstly, we describe the statistical models that scientists make use of in contemporary metrology to perform an uncertainty analysis, and we show that the issue of the interpretation of probabilities is vigorously debated. This debate brings out epistemological issues about the nature and function of physical measurements, metrologists insisting in particular on the subjective aspect of measurement. Secondly, we examine the philosophical elaboration of metrologists in their technical works, where they criticize the use of the notion of “true value” of a physical quantity. We then challenge this elaboration and defend such a notion. The third part turns to a specific use of measurement uncertainty in order to address our thematic from the perspective of precision physics, considering the activity of the adjustments of physical constants. In the course of this activity, physicists have developed a dynamic conception of the accuracy of their measurement results, oriented towards a future progress of knowledge, and underlining the epistemic virtues of a never-ending process of identification and correction of measurement errors. (shrink)

Immunology — though deeply experimental in everyday practice — is also a theoretical discipline. Recent advances in the understanding of innate immunity, how it is triggered and how it shares features that have previously been uniquely ascribed to the adaptive immune system, can contribute to the refinement of the theoretical framework of immunology. In particular, natural killer cells and macrophages are activated by transient modifications, but adapt to long-lasting modifications that occur in the surrounding tissue environment. This process facilitates the (...) maintenance of self-tolerance while permitting efficient immune responses. In this Essay we extend this idea to other components of the immune system and we propose some general principles that lay the foundations for a unifying theory of immunity — the discontinuity theory. According to this theoretical framework, effector immune responses (namely, activated responses that lead to the potential elimination of the target antigen) are induced by an antigenic discontinuity; that is, by the sudden modification of molecular motifs with which immune cells interact. (shrink)