Models such as the simple pendulum, isolated populations, and perfectly rational agents, play a central role in theorising. It is now widely acknowledged that a study of scientific representation should focus on the role of such imaginary entities in scientists’ reasoning. However, the question is most of the time cast as follows: How can fictional or abstract entities represent the phenomena? In this paper, I show that this question is not well posed. First, I clarify the notion of representation, and (...) I emphasise the importance of what I call the “format” of a representation for the inferences agents can draw from it. Then, I show that the very same model can be presented under different formats, which do not enable scientists to perform the same inferences. Assuming that the main function of a representation is to allow one to draw predictions and explanations of the phenomena by reasoning with it, I conclude that imaginary models in abstracto are not used as representations: scientists always reason with formatted representations. Therefore, the problem of scientific representation does not lie in the relationship of imaginary entities with real systems. One should rather focus on the variety of the formats that are used in scientific practice. (shrink)

This paper explores ‘reasonable doubt’ as an enlightening notion to think of reasoning and decision-making generally, beyond the judicial domain. The paper starts from a decision-theoretic understanding of the notion, whereby it can be defined in terms of degrees of belief and a probabilistic confirmation threshold for action. It then highlights some of the limits of this notion, and proposes a richer analysis of epistemic states and reasoning through the lens of ‘reasonable doubt’, which in turn is likely to supplement (...) the DT framework. The strategy consists in fighting on two fronts: with DT, the paper claims that there is no absolute notion of ‘reasonable doubt’ but, pace DT, it shows that reasonable doubt cannot be accounted for only in terms of degrees of belief and probabilistic threshold. We argue that the lens of reasonable doubt sheds light on aspects of belief dynamics, as well as of the nature of epistemic attitudes, which are often obscured by belief-centred approaches. In particular, when it comes to acknowledging the necessary ignorance and irreducible uncertainty that we face in our everyday-life decisions, studying the various facets of doubt rather than focusing on what can be believed, enables one to do justice to the richness and diversity of the mental states in play. (shrink)

Linkage (or genetic) maps are graphs, which are intended to represent the linear ordering of genes on the chromosomes. They are constructed on the basis of statistical data concerning the transmission of genes. The invention of this technique in 1913 was driven by Morgan's group's adoption of a set of hypotheses concerning the physical mechanism of heredity. These hypotheses were themselves grounded in Morgan's defense of the chromosome theory of heredity, according to which chromosomes are the physical basis of genes. (...) In this paper, I analyze the 1919 debate between William Castle and Morgan's group, about the construction of genetic maps. The official issue of the debate concerns the arrangement of genes on chromosomes. However, the disputants tend to carry out the discussions about how one should model the data in order to draw predictions concerning the transmission of genes; the debate does not bear on the data themselves, nor does it focus on the hypotheses explaining these data. The main criteria that are appealed to by the protagonists are simplicity and predictive efficacy. However, I show that both parties' assessments of the simplicity and predictive efficacy of different ways of modeling the data themselves depend on background theoretical positions. I aim at clarifying how preference for a given model and theoretical commitments articulate. (shrink)

Computer simulations are widely used in current scientific practice, as a tool to obtain information about various phenomena. Scientists accordingly rely on the outputs of computer simulations to make statements about the empirical world. In that sense, simulations seem to enable scientists to acquire empirical knowledge. The aim of this paper is to assess whether computer simulations actually allow for the production of empirical knowledge, and how. It provides an epistemological analysis of present-day empirical science, to which the traditional epistemological (...) categories cannot apply in any simple way. Our strategy consists in acknowledging the complexity of scientific practice, and trying to assess its rationality. Hence, while we are careful not to abstract away from the details of scientific practice, our approach is not strictly descriptive: our goal is to state in what conditions empirical science can rely on computer simulations. In order to do so, we need to adopt a renewed epistemological framework, whose categories would enable us to give a finer-grained, and better-fitted analysis of the rationality of scientific practice. (shrink)

In this paper, I wish to challenge theory-biased approaches to scientific knowledge, by arguing for a study of theorizing, as a cognitive activity, rather than of theories, as abstract structures independent from the agents’ understanding of them. Such a study implies taking into account scientists’ reasoning processes, and their representational practices. Here, I analyze the representational practices of geneticists in the 1910s, as a means of shedding light on the content of classical genetics. Most philosophical accounts of classical genetics fail (...) to distinguish between the purely genetic, or Mendelian level, and the cytological one. I distinguish between them by characterizing them in terms of their respective associated representational practices. I then present how the two levels were articulated within Morgan’s theory of crossing-over, and I describe the representational technique of linkage mapping, which embodies the “merging” of the Mendelian and cytological levels. I propose an analysis of the mapping scheme, as a means of enlightening the conceptual articulation of Mendelian and cytological hypotheses within classical genetics. Finally, I present the respective views of three opponents to Morgan in the 1910s, who had a different understanding of the articulation of cytology and Mendelism, and entertained different views concerning the role and proper interpretation of maps. I propose to consider these diverging perspectives as instantiating what I call different “versions” of classical genetics. (shrink)

Gergely and Csibra's theory, known as "natural pedagogy theory", is meant to explain how infants fast-learn generic knowledge from adults. In this paper, my goal is to assess the explanatory import of this theory in a particular case, namely the phenomena known as "A-not-B errors". I first propose a clarification of natural pedagogy theory's fundamental hypotheses. Then, I describe Topál et al.'s (Science, 321, 1831-1834, 2008) experiments, which consist in applying natural pedagogy theory's framework to the A-not-B errors. Finally, I (...) show that natural pedagogy theory, in its actual stage of development, does not suffice to choose between various interpretations of Topál et al.'s experimental results. (shrink)

It is quite widely acknowledged, in the field of cognitive science, that the format in which a set of data is displayed (lists, graphs, arrays, etc.) matters to the agents' performances in achieving various cognitive tasks, such as problem-solving or decision-making. This paper intends to show that formats also matter in the case of theoretical representations, namely general representations expressing hypotheses, and not only in the case of data displays. Indeed, scientists have limited cognitive abilities, and representations in different formats (...) have different inferential affordances for them. Moreover, this paper shows that, once agents and their limited cognitive abilities get into the picture, one has to take into account both the way content is formatted and the cognitive abilities and epistemic peculiarities of agents. This paves the way to a dynamic and pragmatic picture of theorizing, as a cognitive activity consisting in creating new inferential pathways between representations. (shrink)

Models are generally used by scientists to obtain predictions and to provide explanations about phenomena. Their predictive and explanatory power is generally thought of as depending on their representative power. It is still not clear, though, in virtue of which features models allow scientists to draw inferences about the system they stand for. In this paper, I focus on a special kind of models, namely imaginary models (I-models) such as the simple pendulum. The main question I address is: how do (...) scientists use I-models in representing target systems? First, I propose a clarification of the very notion of representation, by emphasizing the importance of what I call the format of a representation to the inferences cognitive agents can draw from it. Then, I analyze the various representational relationships that are in play in the use of I-models. I finally conclude that there is no special semantics to be applied to I-models, and that the study of the representational power of models in general should instead focus on the variety of the formats that are used in scientific practice. (shrink)

La notion de témoignage est au cœur d’une branche de la théorie de la connaissance, appelée « épistémologie du témoignage », qui s’interroge sur le bien-fondé des croyances acquises par le biais d’autrui – par opposition aux seules capacités sensorielles et intellectuelles de l’individu. Le témoignage est aussi un des modes de preuve les plus importants dans le cadre judiciaire, aussi bien au cours de l’enquête et de l’instruction que du procès, et a fait l’objet de nombreuses réflexions de la (...) part de juristes, en particulier dans les pays de common law. Par-delà les différences disciplinaires, les distinctions des juristes sont à même d’apporter un éclairage nouveau à la réflexion épistémologique, laquelle invite à reconsidérer certaines définitions juridiques. (shrink)

In this paper, I analyze the significance of Ernest Nagel's introduction of the notion of model in his reconstruction of scientific theories. Nagel's account is generally considered as a version of the "received view" of theories, whose main advocate is Carnap. However, I will show that Nagel's considerations on models imply a renunciation to the logical empiricists' project of the formalization of scientific theories. I will argue that Nagel implicitly acknowledges that, in order to study the content of theories, one (...) cannot abstract away from the agents' understanding of theories, and from the reasoning processes they perform when using them. (shrink)

In this paper, I propose a study of the invention and development of the technique of genetic mapping in the 1920's. I show that what is usually taken as one and the same theory (Classical Genetics) is in fact the result of the articulation of various levels of explanations corresponding to two different disciplines, with different methods and representational practices -- namely Mendelian theory and cytology. The merging of these two disciplinary frameworks is embodied in the very rules underlying the (...) construction and interpretation of genetic maps. Moreover, the debates between the geneticists around how to display data within these maps reveal that they have different understanding of the articulation of these disciplines (and different theoretical commitments). (shrink)

I analyse the double function of models (representing the phenomena, and being a tool for calculating and predicting them) from a cognitive point of view. Taking the same approach as Ronald Giere, I nevertheless argue that he is to much committed to an abstract conception of theories and that one should give more attention to the particular formats in which models are expressed and grasped. By taking the example of Classical Mechanics, I show that a model, as an abstract entity, (...) doesn't represent anything if not presented in some particular format, be it linguistic, diagrammatic, or pictorial. This format is crucial to the relation between the two main functions of models. (shrink)

During the last few decades, models have become the centre of attention in both cognitive science and philosophy of science. In cognitive science, the claim that humans reason with mental models, rather than mentally manipulate linguistic symbols, is the majority view. Similarly, philosophers of science almost unanimously acknowledge that models have to be taken as a central unit of analysis. Moreover, some philosophers of science and cognitive scientists have suggested that the cognitive hypothesis of mental models is a promising way (...) of accounting for the use of models in science. However, once the importance of models in cognition as well as in science has been acknowledged, much more needs to be said about how models enable agents to make predictions, and to understand the world. In this paper, our goal (as a cognitive scientist, working on causal reasoning, and a philosopher of science, working on models and representations) is twofold. We would like to further develop the notion of mental models, and to explore the parallels between mental models as a concept in cognitive science, and models in science. While acknowledging that the parallel move towards models in cognitive science and in philosophy of science is in the right direction, we think that: i. the notion of mental models needs to be clarified in order to serve as a useful tool, ii. the relation between the hypothesis of mental models and the use of models in science is still to be clarified. First, we will briefly recall a few points about the mental model hypothesis, on the one hand, and the model-centred view of science, on the other hand. Then, we will present our parallel criticisms, and put forward our own proposals. (shrink)

Methodology and the Philosophy Division of Logic.

In this paper, I construe scientific understanding not only as understanding the phenomena by means of some theoretical material (theory, law or model), but more fundamentally as understanding the theoretical material itself that is supposed to explain the phenomena. De Regt and Dieks (2005) emphasise the contextual aspects of the intelligibility of theories, showing that it depends on their "virtues", on the historical standards of intelligibility, and on the particular "skills" of their users. My paper aims at continuing this proposal, (...) first by giving a more precise definition of one's understanding of a theory and then by emphasising the importance, for this issue, of the particular formats in which a theory is expressed and hence grasped by its users. To defend this, I take the example of the versions of classical mechanics (variational versus vectorial) and the various formats of representation of its main principles and models. What does "understanding a theory" mean? At first sight, we could say that it amounts to having a clear view of the logical relations between its core principles and theorems. This kind of understanding, though global, is quite abstract: one can understand the logical structure of a theory without being able to connect it to the phenomena. Moreover, this definition depends on how one 115 construes the structure of theories: it will vary according to whether one defines theories as logical sets of statements with interpretative rules (following the "syntactic conception" of theories) or as families of models ("semantic conception"). I thus suggest that there is another sense of "understanding a theory" that itself has two aspects. To understand a theory, one has to understand both what the theory says or means and how it works; in other words, one has to grasp the phenomena by means of its conceptual apparatus (representational aspect) and to be able to manipulate it and make it fit the phenomena (computational aspect). I claim that these are essentially contextual and practical matters, and that the particular format in which the theoretical content is displayed is crucial to them. Following Humphreys' proposal (2004), I claim that one never accesses to a theory as a whole. Be it a set of statements or a class of models, in practice, it is always displayed in some particular equations, statements, images, graphs, diagrams. Humphreys' proposal of the notion of "template" to complement the classical "units of analysis" of science, like theories and models, may be a good candidate to study the relationship between the representational and computational aspects of understanding: a template is a "concrete piece of syntax" (most of the time an equation, but I suggest that Humphreys' claim could be extended to other formats) that has both a representational and computational function. With the example of classical mechanics, I show how these two functions are interrelated and, as Humphreys suggests, sometimes in tension with each other. Adressing these issues by focusing on the particular formats that are dealt with in practice may enlight this problematic relationship. (shrink)

In this paper, I construe scientific understanding not only as understanding the phenomena by means of some theoretical material (theory, law or model), but more fundamentally as understanding the theoretical material itself that is supposed to explain the phenomena. De Regt and Dieks (2005) emphasise the contextual aspects of the intelligibility of theories, showing that it depends on their ―virtues‖, on the historical standards of intelligibility, and on the particular ―skills‖of their users. My paper aims at continuing this proposal, first (...) by giving a more precise definition of one's understanding of a theory and then by emphasising the importance, for this issue, of the particular formats in which a theory is expressed and hence grasped by its users. To defend this, I take the example of the versions of classical mechanics and the various formats of representation of its main principles and models. What does ―understanding a theory‖ mean? At first sight, we could say that it amounts to having a clear view of the logical relations between its core principles and theorems. This kind of understanding, though global, is quite abstract: one can understand the logical structure of a theory without being able to connect it to the phenomena. Moreover, this definition depends on how one construes the structure of theories: it will vary according to whether one defines theories as logical sets of statements with interpretative rules (following the ―syntactic conception‖ of theories) or as families of models (―semantic conception‖). I thus suggest that there is another sense of ―understanding a theory‖ that itself has two aspects. To understand a theory, one has to understand both what the theory says or means and how it works; in other words, one has to understand it as representing the phenomena (representational aspect) and to be able to manipulate it and make it fit the phenomena (computational aspect). I claim that these are essentially contextual and practical matters, and that the particular format in which the theoretical content is displayed is crucial to them. Following Humphreys' proposal (2004), I claim that one never accesses to a theory as a whole. Be it a set of statements or a class of models, in practice, it is always displayed in some particular equations, statements, images, graphs, diagrams. Humphreys' proposal of the notion of ―template‖ to complement the classical ―units of analysis‖ of science, like theories and models, may be a good candidate to study the relationship between the representational and computational aspects of understanding: a template is a ―concrete piece of syntax‖ (most of the time an equation, but I suggest that Humphreys' claim could be extended to other formats) that has both a representational and computational function. With the example of classical mechanics, I show how these two functions are interrelated and, as Humphreys suggests, are sometimes in tension with each other. Adressing these issues by focusing on the particular formats that are dealt with in practice may enlight this problematic relationship. (shrink)

Symposium " Visual Cognition in the History of Science ", (bourse du CNFHPS, Académie des sciences).

On appelle « biais de confirmation » la tendance supposée des humains à sélectionner les informations qui vont dans le sens de ce qu’ils croient (ou veulent croire) et à interpréter celles dont ils disposent en faveur de leurs hypothèses favorites. Cet article vise à porter un regard critique sur certains usages de cette notion, et plus généralement sur le recours aux « biais cognitifs » pour expliquer tout un ensemble de phénomènes sociaux interprétés comme les marques d’une forme d’irrationalité. (...) Remettant en question le caractère probant des résultats expérimentaux destinés à mettre en évidence une déviation qui nous conduirait systématiquement à des représentations inexactes, je suggère que l’approche bayésienne en psychologie du raisonnement permet de rendre compte de certains de ces résultats en faisant l’hypothèse que nos inférences se conforment à une telle norme. (shrink)

Résumé — La question de l’éducation, telle qu’elle se pose dès les premiers écrits de Simone Weil, où elle est pensée comme un apprentissage de la nécessité par l’action, puis dans ses réflexions politiques sur l’éducation syndicale d’une part et celle d’un peuple tout entier de l’autre, pour enfin se retrouver dans la pensée mystique des dernières années, offre un angle intéressant pour aborder l’œuvre de la philosophe. Jamais thématisée comme telle par Simone Weil, la notion d’éducation est pourtant transversale (...) et permet de comprendre à la fois l’unité profonde et les apparentes contradictions de sa pensée. Dans cet article, nous dégageons un certain nombre de caractéristiques importantes de la notion d’éducation qui se retrouvent aux plans individuel, politique et finalement mystique. On verra peu à peu émerger l’importance de la notion de symbole qui nous permettra de proposer, à partir de la " philosophie de l’éducation " de Simone Weil, un " mode d’emploi " pour la lecture de son œuvre même.— The issue of education provides us with an interesting perspective to approach Simone Weil’s works : though she never takes education as such as an object of study, it is a ubiquitous notion which enables us to understand both the deep unity and the apparent contradictions of her thought. In her first works, education is thought of as concrete learning of the necessity by one’s own actions on the world. In her political reflections, Simone Weil is concerned with both the education of workers by the syndicate and the education of a whole country. Finally, the issue of education is central, as I will show, to her late mystical thought. In this paper, I emphasize some important features of " the notion of " education as it appears in the individual, political and mystical works of Simone Weil. The notion of symbol will turn out to be of central importance, and I will finally show that it provides us with some " reading instructions " of the very writings of Simone Weil from the perspective of her philosophy of education. (shrink)

The book edited by Roman Frigg and Matthew C. Hunter is a great example of interdisciplinary collaborative work, bringing together contributions by scholars of science and of art, around the topic of representation. The collection consists of eleven essays, seven of which were presented in early form at a conference organized by the two editors at the London School of Economics and the Courtauld Institute of Art in June 2006; the other four have been added subsequently. The result is a (...) high-standard, remarkably edited book. (shrink)

Natural kinds is a widely used and pivotal concept in philosophy – the idea being that the classifications and taxonomies employed by science correspond to the real kinds in nature. Natural kinds are often opposed to the idea of kinds in the human and social sciences, which are typically seen as social constructions, characterised by changing norms and resisting scientific reduction. Yet human beings are also a subject of scientific study.Does this mean humans fall into corresponding kinds of their own? (...) In The Epistemology and Morality of Human Kinds Marion Godman defends the idea of human kinds. She first examines the scientific use and nature of human kinds, considering the arguments of key philosophers whose work bears upon human kinds, such as Ian Hacking, John Searle, Richard Boyd and Ruth Millikan. Using the examples of gender, ethnic minorities and Buddhism she then argues that human kinds are a result of ongoing historical reproduction, chiefly due to pre-existing cultural models and social learning. Her novel argument shifts the focus away from the reductionism characteristic of research about human kinds. Instead, she argues that they are “multiply projectable” and deserving of scientific study not in spite of, but because of their role in explaining our identity, injustice and the emergence of group rights. (shrink)

This paper sheds light on the role of digital platform labour in the development of today’s artificial intelligence, predicated on data-intensive machine learning algorithms. Focus is on the specific ways in which outsourcing of data tasks to myriad ‘micro-workers’, recruited and managed through specialized platforms, powers virtual assistants, self-driving vehicles and connected objects. Using qualitative data from multiple sources, we show that micro-work performs a variety of functions, between three poles that we label, respectively, ‘artificial intelligence preparation’, ‘artificial intelligence verification’ (...) and ‘artificial intelligence impersonation’. Because of the wide scope of application of micro-work, it is a structural component of contemporary artificial intelligence production processes – not an ephemeral form of support that may vanish once the technology reaches maturity stage. Through the lens of micro-work, we prefigure the policy implications of a future in which data technologies do not replace human workforce but imply its marginalization and precariousness. (shrink)

What makes science trustworthy to the public? This chapter examines one proposed answer: the trustworthiness of science is based at least in part on its independence from the idiosyncratic values, interests, and ideas of individual scientists. That is, science is trustworthy to the extent that following the scientific process would result in the same conclusions, regardless of the particular scientists involved. We analyze this "idiosyncrasy-free ideal" for science by looking at philosophical debates about inductive risk, focusing on two recent proposals (...) which offer different methods of avoiding idiosyncrasy: the high epistemic standards proposal and the democratic values proposal. (shrink)

Is there anything that members of each binary category of gender have in common? Even many non-essentialists find the lack of unity within a gender worrying as it undermines the basis for a common political agenda for women. One promising proposal for achieving unity is by means of a shared historical lineage of cultural reproduction with past binary models of gender. I demonstrate how such an account is likely to take on board different binary and also non-binary systems of gender. (...) This implies that all individuals construed as members of the category, “women” are in fact not members of the same historical kind after all! I then consider different possible means of modifying the account but conclude negatively: the problem runs deeper than has been appreciated thus far. (shrink)

Events in the US in 2020 have laid bare the reality that racism and its effects continue to take a heavy toll on the lives of Black Americans. The three articles in this issue of AJOB each provide...

Joint action is a growing field of research, spanning across the cognitive, behavioral, and brain sciences as well as receiving considerable attention amongst philosophers. I argue that there has been a significant oversight within this field concerning the possibility that many joint actions are driven, at least in part, by agents' social motivations rather than merely by their shared intentions. Social motivations are not directly related to the (joint) target goal of the action. Instead, when agents are mutually socially motivated (...) in joint action this is because they find acting with others rewarding in its own right. Moreover the involvement of social motivation in joint action typically enables individuals to achieve the long-term benefits associated with being part of a social bond. I argue that taking social motivations into account better prepares us for explaining a broader range of joint actions, including those that are of an antagonistic, competitive, or explorative character. Finally, I show that recognizing the importance of social motivations entails that joint actions (in general) should be understood as having the two primary functions of (1) achieving the intended target outcome of an action, and (2) attaining the benefits related to being part of a social bond. (shrink)

Upon what kind of moral order does capitalism rest? Conversely, does the market give rise to a distinctive set of beliefs, habits, and social bonds? These questions are certainly as old as social science itself. In this review, we evaluate how today's scholarship approaches the relationship between markets and the moral order. We begin with Hirschman's characterization of the three rival views of the market as civilizing, destructive, or feeble in its effects on society. We review recent work at the (...) intersection of sociology, economics, and political economy and show that these views persist both as theories of market society and moral arguments about it. We then argue that a fourth view, which we call moralized markets, has become increasingly prominent in economic sociology. This line of research sees markets as cultural phenomena and moral projects in their own right, and seeks to study the mechanisms and techniques by which such projects are realized in practice. (shrink)

This essay discusses the nature of collective responsibility and explores various controversies associated with its possibility and normative value.

This paper aims to build a bridge between two areas of philosophical research, the structure of kinds and metaphysical modality. Our central thesis is that kinds typically involve super-explanatory properties, and that these properties are therefore metaphysically essential to natural kinds. Philosophers of science who work on kinds tend to emphasize their complexity, and are generally resistant to any suggestion that they have “essences”. The complexities are real enough, but they should not be allowed to obscure the way that kinds (...) are typically unified by certain core properties. We shall show how this unifying role offers a natural account of why certain properties are metaphysically essential to kinds. (shrink)

According to sources both in print and at a recent meeting, evolutionary theory is currently undergoing change which some would characterize as a New Synthesis, and others as an Extended Synthesis. This article argues that the important changes involve recognizing that there are three means by which evolutionary change can be initiated and three corresponding modes of evolutionary drift. It compares the three and goes on to discuss the scale of innovation and extended or inclusive and Lamarckian inheritance. It concludes (...) from these that “new trends in evolutionary biology” are in part a new, and in part an extended evolutionary synthesis. (shrink)

The problems of racism and racially motivated violence in predominantly African American communities in the United States are complex, multifactorial, and historically rooted. While these problems are also deeply morally troubling, bioethicists have not contributed substantially to addressing them. Concern for justice has been one of the core commitments of bioethics. For this and other reasons, bioethicists should contribute to addressing these problems. We consider how bioethicists can offer meaningful contributions to the public discourse, research, teaching, training, policy development, and (...) academic scholarship in response to the alarming and persistent patterns of racism and implicit biases associated with it. To make any useful contribution, bioethicists will require preparation and should expect to play a significant role through collaborative action with others. (shrink)

I argue that there is a tension between the claim that at least some kinds in the special sciences are multiply realized and the claim that the reason why kinds are prized by science is that they enter into a variety of different empirical generalizations. Nevertheless, I show that this tension ceases in the case of ‘cultural homologues’—such as specific ideologies, religions, and folk wisdom. I argue that the instances of such special science kinds do have several projectable properties in (...) common due to their shared history of reproduction, and that the social learning involved means that we should also expect these kinds to be multiply realized. (shrink)