An overview of the German philosophy of science community is given for the years 1992–2012, based on a survey in which 159 philosophers of science in Germany participated. To this end, the institutional background of the German philosophy of science community is examined in terms of journals, centers, and associations. Furthermore, a qualitative description and a quantitative analysis of our survey results are presented. Quantitative estimates are given for: (a) academic positions, (b) research foci, (c) philosophers’ of science most important (...) publications, and (d) externally funded projects, where for (c) all survey participants had indicated their five most important publications in philosophy of science. In addition, the survey results for (a)–(c) are also qualitatively described, as they are interesting in their own right. With respect to (a), we estimated the gender distribution among academic positions. Concerning (c), we quantified philosophers’ of science preference for (i) journals and publishers, (ii) publication format, (iii) language, and (iv) coauthorship for their most important publications. With regard to research projects, we determined their (i) prevalence, (ii) length, and (iii) trend (an increase in number?) as well as their most frequent (iv) research foci and (v) funding organizations. We also distinguished between German-based and non-German-based journals, publishers, and funding institutions, making it thereby possible to evaluate the involvement of the German philosophy of science community in the international research landscape. Finally, we discuss some implications of our findings. (shrink)

Science promises benefits, some true and some illusory. Consider a scientific agnostic who thinks that to reap the true benefits of a scientific theory he does not have to believe in its theoretical posits. Instead, it is enough if he believes that the theory successfully predicts the behavior of the observables, as ultimately only such predictions matter. -/- Say, however, that given the results of her thorough research, a psychologist proposes a theory describing a psychological mechanism underlying a certain class (...) of normative judgments. Moreover, the mechanism seems unfit for the task—once you see the details of the mechanism, you will realize that this is not the way they should be produced. Therefore, if the psychologist is right, it seems that these normative judgments should not inform one's normative theorizing or one's actions (Greene 2008, 2014, Kelly 2014). And say that the agnostic accepts the psychologist's theory, trusting that it makes correct predictions about, for example, fMRI images and subjects' reaction times, as they are observable. He also thinks that if the psychologist's description of the mechanism is correct, the judgments should not be trusted. Yet, since the mechanism posited by the theory is not observable, the agnostic is agnostic about it. He thus cannot be convinced that these judgments are produced in a flawed way and, consequently, has no reason to distrust them. -/- Scientific agnosticism comes, therefore, at the cost of dismissing normative arguments that invoke unobservable posits of psychological models. The ability to make such arguments is a true (rather than illusory) benefit of science, despite the agnostic's promise that his philosophical theory leaves intact benefits that genuinely matter. (shrink)

We ask how to use machine learning to expand observability, which presently depends on human learning that informs conceivability. The issue is engaged by considering the question of correspondence between conceived observability counterfactuals and observable, yet so far unobserved or unconceived, states of affairs. A possible answer lies in importing out of reference frame content which could provide means for conceiving further observability counterfactuals. They allow us to define high-fidelity observability, increasing the level of correspondence in question. To achieve high-fidelity (...) observability, we propose to use generative machine learning models as the providers of the out of reference frame content. From an applied point of view, such a role of generative machine learning models shows an emerging dimension of human-machine cooperation. (shrink)

E. Machery, R. Mallon, S. Nichols and S. Stich, have argued that there is empirical evidence against Kripke’s claim that names are not descriptive. Their argument is based on an experiment that compares the intuitions about proper name use of a group of English speakers in Hong Kong with those of a group of non-Chinese American students. The results of the experiment suggest that in some cultures speakers use names descriptively. I argue that such a conclusion is incorrect, for the (...) experiment does not prove what it is purported to prove. (shrink)

The aim of this thesis dissertation is to propose a novel position in the debate on scientific realism, modal empiricism, and to show its fruitfulness when it comes to interpreting the cognitive content of scientific theories. Modal empiricism is an empiricist position, according to which the aim of science is to produce empirically adequate theories rather than true theories. However, it suggests adopting a broader comprehension of experience than traditional versions of empiricism, through a commitment to natural modalities. Following modal (...) empiricism, there are possibilities in nature, and constraints on what is possible, and a theory is empirically adequate if it correctly delimits the range of possible experiences. The position rests on a situated and pragmatic conception of natural modalities and of empirical confrontation. We claim that it can do justice to the empirical success of science, while not falling prey to the problem of theory change that undermines scientific realism. We explain how constraints of necessity on phenomena can be known by induction, and how this modal epistemology fits with scientific practice. Finally, we claim that a commitment to natural modalities allows for a rich interpretation of the cognitive content of theories. Modal empiricism could renew some metaphysical debates within a pragmatist framework, by tying them to experience and not being constrained by realist prejudices. -/- L'objet de cette thèse est de proposer une position originale dans le débat sur le réalisme scientifique, l'empirisme modal, et d'en démontrer la fructuosité quand il s'agit de tirer des enseignements du contenu cognitif des théories scientifiques. L'empirisme modal est une position empiriste, suivant laquelle le but de la science n'est pas de produire des théories vraies, mais des théories empiriquement adéquate. Cependant, il propose d'adopter un cadre plus large que les versions traditionnelles d'empirisme pour penser l'expérience, en incorporant un engagement envers les modalités naturelles, ou l'idée qu'il y a du possible dans la nature, et des contraintes sur les possibles. Nos théories sont empiriquement adéquates si elles délimitent correctement l'étendue des expériences possibles. Cette position s'appuie sur une conception située et pragmatique des modalités naturelles et de la confrontation empirique. Nous prétendons qu'elle est à même de rendre justice au succès empirique des sciences, sans pour autant faire face au problème du changement théorique qui mine le réalisme scientifique. Nous expliquons comment les contraintes de nécessité sur les phénomènes peuvent être connues à l'issue d'une induction, et en quoi cette façon de voir s'accorde avec la pratique scientifique. Enfin, nous affirmons qu'un engagement envers les modalités naturelles offre une richesse interprétative à même de renouveler, dans un cadre pragmatiste, plus ouvert que le réalisme, certaines questions métaphysiques tout en les ramenant à l'expérience . (shrink)

Both Popper and van Fraassen have used evolutionary analogies to defend their views on the aim of science, although these are diametrically opposed. By employing Price's equation in an illustrative capacity, this paper considers which view is better supported. It shows that even if our observations and experimental results are reliable, an evolutionary analogy fails to demonstrate why conjecture and refutation should result in: (1) the isolation of true theories; (2) successive generations of theories of increasing truth-likeness; (3) empirically adequate (...) theories; or (4) successive generations of theories of increasing proximity to empirical adequacy. Furthermore, it illustrates that appeals to induction do not appear to help. It concludes that an evolutionary analogy is only sufficient to defend the notion that the aim of science is to isolate a particular class of false theories, namely those that are empirically inadequate. (shrink)

In this journal, Peter Lipton and I discussed Musgrave's objection that the constructive empiricist cannot consistently maintain his own distinction between the observable and the unobservable, and van Fraassen's initial reply. We considered several possible interpretations of van Fraassen, and expressed misgivings about each. Muller and van Fraassen have consequently clarified the official constructive empiricist response to Musgrave, although some issues still remain.According to Muller and van Fraassen, Musgrave's objection assumes that constructive empiricism is to be understood in line with (...) a syntactic account of our scientific theories – whereby a theory consists of a set of sentences formulated in some suitable language – whereas constructive empiricism has always been wedded to an explicitly semantic account of our scientific theories, which understands a scientific theory in terms of a class of models. Once this oversight is amended, the objection is seen to be toothless. As Muller and van Fraassen write: " Indeed, the only proper response, and the one that turns the table on Musgrave and his followers, is to argue that his incoherence argument does not work in the context of the semantic view as here elaborated, while the bad consequence he draws is an inevitable corollary to the older view within which he presents it. "The force of Musgrave's objection therefore turns on nothing more than implicitly saddling the constructive empiricist with an independently problematic account of what a scientific theory is.This move should cause some surprise however, for Musgrave's objection – albeit usually presented in conjunction with an explicitly syntactic construal of our scientific theories – is in fact quite neutral between these competing accounts. As Musgrave originally put it, in order for the constructive empiricist to draw his distinction between observable and unobservable …. (shrink)