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)

Exploring intentionality from an externalist perspective, I distinguish three kinds of intentionality in the case of seeing, which I call transparent, translucent, and opaque respectively. I then extend the distinction from seeing to knowing, and then to believing. Having explicated the three-fold distinction, I then critically explore some important consequences that follow from granting that (i) there are transparent and translucent intentional states and (ii) these intentional states are mental states. These consequences include: first, that existential opacity is neither the (...) mark of intentionality nor of the mental; second, that Sellars has not shown that all intentionality is non-relational; third, that a key Quinean argument for semantic indeterminacy rests on a false premise; fourth, that perceptual experience is intentional on Alston’s Theory of Appearing; fifth, that either some mental causation is more than internal physiological causation or some mental states are epiphenomenal. (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.

Abstract: Many, if not most philosophers, deny that a sentence like ‘Sherlock Holmes smokes’ could be true. However, this attitude conflicts with the assignment of true to that sentence by natural language speakers. Furthermore, this process of assigning truth values to sentences like ‘Sherlock Holes smokes’ seems indistinguishable from the process that leads speakers to assign true to other sentences, those like ‘Bertrand Russell smokes’. I will explore the idea that when speakers assign the value true to the first sentence, (...) they are not mistaken or confused — that we ought to take these assignments at face value. I show how the most popular alternative to this idea is inadequate for explaining various sentences involving fictional names. In addition, I offer evidence that these truth value assignments to sentences are tracking semantic content rather than pragmatic effects. (shrink)

Philosophy strives to give us a firmer hold on our concepts. But what about their hold on us? Why place ourselves under the sway of a concept and grant it the authority to shape our thought and conduct? Another conceptualization would carry different implications. What makes one way of thinking better than another? This book develops a framework for concept appraisal. Its guiding idea is that to question the authority of concepts is to ask for reasons of a special kind: (...) reasons for concept use, which tell us which concepts to adopt, adhere to, or abandon, thereby shoring up—or undercutting—the reasons for action and belief that guide our deliberations. Traditionally, reasons for concept use have been sought either in timeless rational foundations or in concepts’ inherent virtues, such as precision and consistency. Against this, the book advances two main claims: that we find reasons for concept use in the conceptual needs we discover when we critically distance ourselves from a concept by viewing it from the autoethnographic stance; and that sometimes, concepts that conflict, or exhibit other vices such as vagueness or superficiality, are just what we need. By considering not what concepts are absolutely best, but what concepts we now need, we can reconcile ourselves to the contingency of our concepts, determine the proper place of efforts to tidy up thought, and adjudicate between competing conceptions of things—even things as contested as liberty or free will. A needs-based approach separates helpful clarification from hobbling tidy-mindedness, and authoritative definition from conceptual gerrymandering. (shrink)

Policymakers who seek to make scientifically informed decisions are constantly confronted by scientific uncertainty and expert disagreement. This thesis asks: how can policymakers rationally respond to expert disagreement and scientific uncertainty? This is a work of non-ideal theory, which applies formal philosophical tools developed by ideal theorists to more realistic cases of policymaking under scientific uncertainty. I start with Bayesian approaches to expert testimony and the problem of expert disagreement, arguing that two popular approaches— supra-Bayesianism and the standard model of (...) expert deference—are insufficient. I develop a novel model of expert deference and show how it can deal with many of these problems raised for them. I then turn to opinion pooling, a popular method for dealing with disagreement. I show that various theoretical motivations for pooling functions are irrelevant to realistic policymaking cases. This leads to a cautious recommendation of linear pooling. However, I then show that any pooling method relies on value judgements, that are hidden in the selection of the scoring rule. My focus then narrows to a more specific case of scientific uncertainty: multiple models of the same system. I introduce a particular case study involving hurricane models developed to support insurance decision-making. I recapitulate my analysis of opinion pooling in the context of model ensembles, confirming that my hesitations apply. This motivates a shift of perspective, to viewing the problem as a decision theoretic one. I rework a recently developed ambiguity theory, called the confidence approach, to take input from model ensembles. I show how it facilitates the resolution of the policymaker’s problem in a way that avoids the issues encountered in previous chapters. This concludes my main study of the problem of expert disagreement. In the final chapter, I turn to methodological reflection. I argue that philosophers who employ the mathematical methods of the prior chapters are modelling. Employing results from the philosophy of scientific models, I develop the theory of normative modelling. I argue that it has important methodological conclusions for the practice of formal epistemology, ruling out popular moves such as searching for counterexamples. (shrink)

This book is about whether reference to an individual is the essential feature of a proper name -- a widely held view -- or whether referring to an individual is simply a contingent feature. Three questions need resolving, then. First, whether all names in particular contexts are themselves referring devices. Second, whether recognizing names types and the consequent issue of their ambiguity can be resolved simply by distinguishing between name types and tokens thereof. Last, whether names are ever referential in (...) the way Kripke and others have convincingly argued. The answer to first two questions is negative. The answer to third is a qualified "yes." I explain the theory that allows for these answers in the manuscript, as well as addressing other issues such as: the problem of fictional names; descriptive names; empty names; what an act of naming consists of; an account of ontological commitment; and the data that suggests that names are predicates. (shrink)

Carnap and Goodman developed methods of conceptual re-engineering known respectively as explication and reflective equilibrium. These methods aim at advancing theories by developing concepts that are simultaneously guided by pre-existing concepts and intended to replace these concepts. This paper shows that Carnap’s and Goodman’s methods are historically closely related, analyses their structural interconnections, and argues that there is great systematic potential in interpreting them as aspects of one method, which ultimately must be conceived as a component of theory development. The (...) main results are: an adequate method of conceptual re-engineering must focus not on individual concepts but on systems of concepts and theories; the linear structure of Carnapian explication must be replaced by a process of mutual adjustments as described by Goodman; Carnap’s condition of similarity can be analysed into two components, one securing a relation to the specific extensions of the pre-existing concepts, one regulating the transition to the new system of concepts; these two criteria of adequacy can be built into Goodman’s account of reflective equilibrium to ensure that the resulting concepts promote theoretical virtues while being sufficiently similar to the concepts we started out with. (shrink)

Science provides us with representations of atoms, elementary particles, polymers, populations, genetic trees, economies, rational decisions, aeroplanes, earthquakes, forest fires, irrigation systems, and the world’s climate. It's through these representations that we learn about the world. This entry explores various different accounts of scientific representation, with a particular focus on how scientific models represent their target systems. As philosophers of science are increasingly acknowledging the importance, if not the primacy, of scientific models as representational units of science, it's important to (...) stress that how they represent plays a fundamental role in how we are to answer other questions in the philosophy of science. This entry begins by disentangling ‘the’ problem of scientific representation, before critically evaluating the current options available in the literature. (shrink)

In this paper, we explore an under-investigated question concerning the class of formal models that aim at providing normative guidance. We call such models normative models. In particular, we examine the question of how normative models can successfully exert normative guidance. First, we highlight the absence of a discussion of this question – which is surprising given the extensive debate about the success conditions of descriptive models – and motivate its importance. Second, we introduce and discuss two potential accounts of (...) the success conditions of normative models. Our tentative conclusion is that the second account is more promising. (shrink)

Elgin has presented an extensive defence of reflective equilibrium embedded in an epistemology which focuses on objectual understanding rather than ordinary propositional knowledge. This paper has two goals: to suggest an account of reflective equilibrium which is sympathetic to Elgin’s but includes a range of further developments, and to analyse its role in an account of understanding. We first address the structure of reflective equilibrium as a target state and argue that reflective equilibrium requires more than an equilibrium in the (...) sense of a coherent position. On the one hand, the position also needs to be stable between a ‘conservative’ pull of input commitments and a ‘progressive’ pull of epistemic goals; on the other hand, reflective equilibrium requires that enough of the resulting commitments have some credibility independent of the coherence of the position. We then turn to the dynamics of reflective equilibrium, the process of mutual adjustment of commitments and theories. Here, the most pressing internal challenges for defenders of reflective equilibrium arise: to characterize this process more exactly and to explain its status in relation to reflective equilibrium as a target state. Finally, we investigate the role of reflective equilibrium in Elgin’s account of understanding and argue that objectual understanding cannot be explained in terms of reflective equilibrium alone. An epistemic agent who understands a subject matter by means of a theory also needs to be able to use this theory and the theory needs to meet some external rightness condition. (shrink)

The notion of exemplification is essential for Goodman’s theory of symbols. But Goodman’s account of exemplification has been criticized as unclear and inadequate. He points out two conditions for an object x exemplifying a label y: (C1) y denotes x and (C2) x refers to y. While (C1) is uncontroversial, (C2) raises the question of how “refers to” should be interpreted. This problem is intertwined with three further questions that consequently should be discussed together with it. Are the two necessary (...) conditions (C1) and (C2) conjointly sufficient? Do they amount to a definition of “exemplification”? Which notions of Goodman’s theory are basic, and hence undefined? In this paper, we address these questions and defend a reconstruction of the notion of exemplification that interprets “refers to” in (C2) as exemplificational reference and hence treats “exemplification” as a basic notion of Goodman’s theory. Firstly, we argue that even though the notion of exemplification is not defined, it is still sufficiently clear. This ensures its contribution to Goodman’s theory of symbols. Secondly, we show that our account is plausible as an interpretation of Goodman’s and Elgin’s writings, although it implies that some of Goodman’s theorems about self-reference have to be weakened. Thirdly, we argue that it is the only materially adequate reconstruction of Goodman’s notion of exemplification, whereas the alternative definitional accounts fail. (shrink)

En los últimos años, el interés por la semántica de términos ficticios ha crecido considerablemente en el marco de la tradición analítica. De forma general, es posible distinguir dos grandes tipos de propuestas semánticas: las propuestas ontológicamente comprometidas con entidades ficticias y las que evitan dicho compromiso . Entre estas últimas, se destaca la propuesta inscripcionalista de Nelson Goodman y Catherine Elgin, que constituye el eje de análisis del presente artículo. Su objetivo principal es mostrar algunas de las ventajas de (...) la propuesta inscripcionalista frente a las propuestas realistas. En la segunda sección, analizo algunas de las dificultades que conllevan las propuestas realistas y luego muestro que estas no tienen lugar en la propuesta de Goodman y Elgin. En la tercera sección, presento la propuesta inscripcionalista, centrándome en su ampliación, la noción de referencia y sus diversas modalidades, y también analizo una serie de enunciados problemáticos utilizando los modos referenciales anteriormente presentados. (shrink)

One of the most important problems for a study of symbolic practices (pictorial, verbal or other) is the choice of a language of description that is general enough to allow for comparisons between different symbolic practices and specific enough to allow for meaningful descriptions of actual practices. I will argue that Goodman’s theory of symbols provides some of the categories needed for such an analysis. I will try to indicate this by looking at Goodman’s analysis of a symbolic practice that (...) – though widely used in many different kinds of discourse – has generally not received much attention: the giving of examples. Goodman’s extensional description of exemplification allows us to differentiate between various types of examples and to determine what we mean when we say that examples ‘show’ something. In this way, conflicting approaches to the question of examples (namely Kant and Wittgenstein) can be seen as complementary. A theory of symbols can operate these clarifications by virtue of its strict extensionalism. (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)

Every materially adequate explication of the concepts ``picture''and ``the pictorial'' has to appeal to syntactical properties.From the available definitions, a conception of syntax is extractedthat is applicable to symbol systems of any sort. Against thisbackground, it is shown that a non-semantical characterization ofthe pictorial is mandatory. Finally, specific syntactical featuresare explicated that recommend themselves as necessary conditions forthe application of the concept of a picture.

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)

Se considera que la ciencia es el espejo de la naturaleza, mientras que el arte imita la vida. De ser así, las representaciones en ambas disciplinas deberían asemejarse a sus objetos. En contra de tales teorías miméticas, argumento que la ejemplificación y no la simple semejanza es crucial. Explico en qué consiste la ejemplificación: una relación referencial de un ejemplar con alguna de sus características. Puesto que la ejemplificación es selectiva, un ejemplar puede diferir de su referente en aspectos no (...) ejemplificados. Ésta es la razón por la cual una idealización, que estrictamente es falsa, puede ofrecer comprensión del fenómeno que le concierne. A partir de analogías con las representaciones pictóricas, muestro cómo un modelo ejemplifica características que comparte con su objeto, pone de relieve la importancia de tales características y con ello proporciona comprensión del sistema en cuestión. (shrink)