Abstract This paper offers an appraisal of Phillip Pettit's approach to the problem how a merely finite set of examples can serve to represent a determinate rule, given that indefinitely many rules can be extrapolated from any such set. I argue that Pettit's so-called ethnocentric theory of rule-following fails to deliver the solution to this problem he sets out to provide. More constructively, I consider what further provisions are needed in order to advance Pettit's general approach to the problem. I (...) conclude that what is needed is an account that, whilst it affirms the view that agents' responses are constitutively involved in the exemplification of rules, does not allow such responses the pride of place they have in Pettit's theory. (shrink)

It is argued that a popular way of accounting for the distinctive value of knowledge by appeal to the distinctive value of cognitive achievements fails because it is a mistake to identify knowledge with cognitive achievements. Nevertheless, it is claimed that understanding, properly conceived, is a type of cognitive achievement, and thus that the distinctive value of cognitive achievements can explain why understanding is of special value.

Without doubt, there is a widespread usage of visualisations in science. However, what exactly the _epistemic status_ of these visual representations in science may be remains an open question. In the following, I will argue that at least some scientific visualisations are indispensible for our cognitive processes. My thesis will be that, with regard to the activity of _learning_, visual representations are of relevance in the sense of contributing to the aim of _scientific_ _understanding_. Taking into account that understanding can (...) be regarded as an epistemic desideratum in its own right, I will argue that, at least in some instances, no understanding can be achieved without the aid of visualisations. Consequently, they are of crucial importance in this process. Moreover, to support this thesis we will make use of some findings in educational psychology. (shrink)

It is wholly uncontroversial that measurements-or, more properly, propositions that are measurement reports-are often paradigmatically good cases of propositions that serve the function of evidence. In normal cases it is also obvious that stating such a report is an utterly pedestrian case of successful assertion. So, for example, there is nothing controversial about the following claims: (1) that a proposition to the effect that a particular thermometer reads 104C when properly used to determine the temperature of a particular patient is (...) evidence that the patient in question has a fever and (2) that there is nothing wrong with asserting the proposition that a particular thermometer reads 104C for appropriate reasons of communication, etc. when the thermometer has been properly used to determine the temperature of a particular patient. Here it will be shown that Timothy Williamson’s commitments to a number of principles about knowledge and assertion imply that a whole class of utterly ordinary statements like these that are used as evidence are not really evidence because they are not knowledge and so are (perversely) unassertable according to his principled commitments. This paper deals primarily with the second of these two problems and an alternative account of the norms of assertion is introduced which allows for the assertability of such measurement reports. (shrink)

This introduction to the special issue on "Aesthetics of Science" reviews recent philosophical research on aesthetic aspects of science. Topics represented in this research include the aesthetic properties of scientific images, theories, and experiments; the relation of science and art; the role of aesthetic criteria in scientific practice and their effect on the development of science; aesthetic aspects of mathematics; the contrast between a classic and a Romantic aesthetic; and the relation between emotion, cognition, and rationality.

Science has more to offer than just knowledge of nature; it can give us understanding of nature as well. Epistemology of science is usually focused on knowledge and the criteria of justification, while paying little attention to understanding. In a reversal of this emphasis, this article is more about scientific understanding. I argue that the hallmarks of understanding are similar to an aesthetic feature associated with literature, music, and the visual arts. It is the feature described as coherence, harmony, and (...) inevitability of fit. Aesthetics thus plays an epistemic role in science as an indication of understanding. (shrink)

Ethics studies the evaluation of actions, agents and their mental states and characters from a distinctive viewpoint or employing a distinctive vocabulary. And epistemology examines the evaluation of actions (inquiries and assertions), agents (believers and inquirers), and their states (belief and attitudes) from a different viewpoint. Given this common concern with evaluation, we should surely expect there to be considerable similarities between the issues examined and the ideas employed in the two areas. However, when we examine most textbooks in ethics (...) and epistemology, this expectation is not fulfilled. Of course, the vocabularies of evaluation are different: in ethics, we are concerned with issues of right and wrong, virtue and vice, moral obligation, and so on; and in epistemology, it is most commonly assumed that we are interested in whether states count as knowledge or as justified beliefs, with whether beliefs and strategies of belief formation are rational. (shrink)

There is no consensus about appropriate philosophical method that can be relied on to settle philosophical questions and instead of established findings, there are multiple conflicting arguments and positions, and widespread disagreement and debate. Given this feature of philosophy, it might seem that philosophy has proven to be a worthless endeavour, with no possibility of philosophical progress. The challenge then is to develop a conception of philosophy that reconciles the lack of general or lasting agreement with the possibility of philosophical (...) progress. I present such a conception in this paper. I argue that the aim of philosophy is to resolve philosophical problems, which is different from establishing settled and final answers or positions. Philosophical problems involve inadequate or incongruous conceptions that cannot be settled once and for all but can be resolved by transforming our conceptions so they are now congruous and adequate. There is philosophical progress every time a warranted, defensible position is developed that resolves a philosophical problem, even if there are competing resolutions and further problems to resolve, as there always are in philosophy. (shrink)

Many scientific models are representations. Building on Goodman and Elgin’s notion of representation-as we analyse what this claim involves by providing a general definition of what makes something a scientific model, and formulating a novel account of how they represent. We call the result the DEKI account of representation, which offers a complex kind of representation involving an interplay of, denotation, exemplification, keying up of properties, and imputation. Throughout we focus on material models, and we illustrate our claims with the (...) Phillips-Newlyn machine. In the conclusion we suggest that, mutatis mutandis, the DEKI account can be carried over to other kinds of models, notably fictional and mathematical models. (shrink)

In this paper we explore the constraints that our preferred account of scientific representation places on the ontology of scientific models. Pace the Direct Representation view associated with Arnon Levy and Adam Toon we argue that scientific models should be thought of as imagined systems, and clarify the relationship between imagination and representation.

Cognitive advancement is not always a matter of acquiring new information. It often consists in reconfiguration--in reorganizing a domain so that hitherto overlooked or underemphasized features, patterns, opportunities, and resources come to light. Several modes of reconfiguration prominent in the arts--metaphor, fiction, exemplification, and perspective--play important roles in science as well. They do not perform the same roles as literal, descriptive, perspectiveless scientific truths. But to understand how science advances understanding, we need to appreciate the ineliminable cognitive contributions of non-literal, (...) non-descriptive symbols. (shrink)

In this paper, I discuss the intrinsic value of truth from the perspective of the emotion studies in virtue epistemology. The strategy is the one that looks at epistemic emotions as driving forces towards truth as the most valuable epistemic good. But in doing so, a puzzle arises: how can the value of truth be intrinsic and instrumental? My answer lies in the difference established by Duncan Pritchard between epistemic value and the value of the epistemic applied to the case (...) of subjective motivations to knowing. I argue that the value of truth is intrinsic as epistemic value and that this is not only compatible with the idea that truth can have different kinds of instrumental values but also that the subjective value of truth, disclosed by epistemic emotions, can make the value of truth stronger if regulated within patterns of virtuous enquiry. (shrink)

In non-philosophical discourse, “identity” is often used when the specific character of artefacts is described or evaluated. We argue that this usage of “identity” can be explicated as referring to the symbol properties of artefacts as they are conceptualized in the symbol theory of Goodman and Elgin. This explication is backed by an analysis of various uses of “identity”. The explicandum clearly differs from the concepts of numerical identity, qualitative identity and essence, but it has a range of similarities with (...) the notion of self-concept used in psychology and practical philosophy. The proposed explication is used to analyse claims about identity-pluralism and identity-conflicts. Firstly, the explication allows us to distinguish various ways how the same artefact can have a plurality of identities. Secondly, more or less sharp conflicts within an identity or between identities of an artefact are distinguished. Thirdly, many phenomena called “identity-conflicts” are only apparently identity-conflicts and can be analysed as involving some other form of tension. (shrink)

La definición estándar del conocimiento intenta concebir el conocimiento proposicional como una creencia verdadera y justificada, y, con su modo de proceder, genera una serie de graves problemas. En respuesta a esto, este ensayo investiga un modelo interpretativo prometedor y alternativo del conocimiento como estructura o sistema que se acopla a las reflexiones de Nelson Goodman. A partir de una amplia base constituida por la teoría de los símbolos, es posible desarrollar un concepto de conocimiento plural y procesal que se (...) puede adecuar tanto a la pluralidad de distintos modos de conocimiento, como también a sus transformaciones históricas. En ello tiene un papel decisivo la interpretación de la comprensión como un proceso constructivo que sirve como punto de partida para realizar una descripción teórica de una dinámica transformativa. Del análisis de la relación entre procesos de comprensión y conocimiento se deriva un nuevo punto de vista que deja surgir con claridad el rasgo procesal del conocimiento y sus características específicas. Este artículo ofrece una base para una mayor diferenciación del ámbito epistémico en cuyo marco el concepto de conocimiento puede ser rehabilitado. (shrink)

Scientific models are important, if not the sole, units of science. This thesis addresses the following question: in virtue of what do scientific models represent their target systems? In Part i I motivate the question, and lay out some important desiderata that any successful answer must meet. This provides a novel conceptual framework in which to think about the question of scientific representation. I then argue against Callender and Cohen’s attempt to diffuse the question. In Part ii I investigate the (...) ideas that scientific models are ‘similar’, or structurally morphic, to their target systems. I argue that these approaches are misguided, and that at best these relationships concern the accuracy of a pre-existing representational relationship. I also pay particular attention to the sense in which target systems can be appropriately taken to exhibit a ‘structure’, and van Fraassen’s recent argument concerning the pragmatic equivalence between representing phenomena and data. My next target is the idea that models should not be seen as objects in their own right, but rather what look like descriptions of them are actually direct descriptions of target systems, albeit not ones that should be understood literally. I argue that these approaches fail to do justice to the practice of scientific modelling. Finally I turn to the idea that how models represent is grounded, in some sense, in their inferential capacity. I compare this approach to anti-representationalism in the philosophy of language and argue that analogous issues arise in the context of scientific representation. Part iii contains my positive proposal. I provide an account of scientific representation based on Goodman and Elgin’s notion of representation-as. The result is a highly conventional account which is the appropriate level of generality to capture all of its instances, whilst remaining informative about the notion. I illustrate it with reference to the Phillips-Newlyn machine, models of proteins, and the Lotka-Volterra model of predator-prey systems. These examples demonstrate how the account must be understood, and how it sheds light on our understanding of how models are used. I finally demonstrate how the account meets the desiderata laid out at the beginning of the thesis, and outline its implications for further questions from the philosophy of science; not limited to issues surrounding the applicability of mathematics, idealisation, and what it takes for a model to be ‘true’. (shrink)