This paper exposits and makes steps towards solving a puzzle about epistemic value. The puzzle is that several principles about the epistemic value of true beliefs and epistemic disvalue of false beliefs are, individually, plausible but, collectively, contradictory. My solution claims that sometimes false beliefs are epistemically valuable. I nonetheless show how my solution is not in deep tension with the Jamesian idea that true beliefs are epistemically valuable and false beliefs are epistemically disvaluable. I conclude by indicating how the (...) results here are relevant to formulating and defending Veritism. (shrink)

In this essay, I critically evaluate components of Michael Weisberg’s approach to models and modeling in his book Simulation and Similarity. First, I criticize his account of the ontology of models and mathematics. Second, I respond to his objections to fictionalism regarding models arguing that they fail. Third, I sketch a deflationary approach to models that retains many elements of his account but avoids the inflationary commitments.

In this essay, I first consider a popular view of models and modeling, the similarity view. Second, I contend that arguments for it fail and it suffers from what I call “Hughes’ worry.” Third, I offer a deflationary approach to models and modeling that avoids Hughes’ worry and shows how scientific representations are of apiece with other types of representations. Finally, I consider an objection that the similarity view can deal with approximations better than the deflationary view and show that (...) this is not so. (shrink)

Hartry Field’s epistemological challenge to the mathematical platonist is often cast as an improvement on Paul Benacerraf’s original epistemological challenge. I disagree. While Field’s challenge is more difficult for the platonist to address than Benacerraf’s, I argue that this is because Field’s version is a special case of what I call the ‘sociological challenge’. The sociological challenge applies equally to platonists and fictionalists, and addressing it requires a serious examination of mathematical practice. I argue that the non-sociological part of Field’s (...) challenge amounts to a minor reformulation of Benacerraf’s original challenge. So, I contend, Field’s challenge is not an improvement on Benacerraf’s. What is new to Field’s challenge is as much a problem for the fictionalist as it is for the platonist. (shrink)

Drawing on ‘interpretational’ accounts of scientific representation, I argue that the use of so-called ‘toy models’ provides no particular philosophical puzzle. More specifically; I argue that once one gives up the idea that models are accurate representations of their targets only if they are appropriately similar, then simple and highly idealized models can be accurate in the same way that more complex models can be. Their differences turn on trading precision for generality, but, if they are appropriately interpreted, toy models (...) should nevertheless be considered accurate representations. A corollary of my discussion is a novel way of thinking about idealization more generally: idealized models may distort features of their targets, but they needn’t misrepresent them. (shrink)

In this article I argue that two current accounts of scientific understanding are incorrect and I propose an alternative theory. My new account draws on recent research in cognitive psychology which reveals the importance of making causal and logical inferences on the basis of incoming information. To understand a phenomenon we need to make particular kinds of inferences concerning the explanations we are given. Specifically, we come to understand a phenomenon scientifically by developing mental models that incorporate the correct causal (...) and logical properties responsible for the causes or logical properties of the phenomenon being explained. (shrink)

In this paper, I show how idealizations contribute to social activities in science, such as the recruitment of experts to a research project. These contributions have not been explicitly discussed by recent philosophical accounts of scientific idealization. These accounts have focused on how idealizations influence activities like scientific theorization, explanation, and modeling. Other accounts focus on how idealizations influence policy-making and science communication. I expand these accounts by exploring the uses of idealized phylogenetic trees in science. Trees are not only (...) useful for improving our understanding and public communication of evolutionary history, but they also help with the organization of laboratories and collaboration among scientists. Attending to the relation between idealizations and these social practices in science matters. It can help us understand why idealized models become entrenched and why certain social practices change over time. (shrink)

Elgin offers an influential and far-reaching challenge to veritism. She takes scientific understanding to be non-factive and maintains that there are epistemically useful falsehoods that figure ineliminably in scientific understanding and whose falsehood is no epistemic defect. Veritism, she argues, cannot account for these facts. This paper argues that while Elgin rightly draws attention to several features of epistemic practices frequently neglected by veritists, veritists have numerous plausible ways of responding to her arguments. In particular, it is not clear that (...) false propositional commitments figure ineliminably in understanding in the manner supposed by Elgin. Moreover, even if scientific understanding were non-factive and false propositional commitments did figure ineliminably in understanding, the veritist can account for this in several ways without thereby abandoning veritism. (shrink)

In this paper, I propose that the debate in epistemology concerning the nature and value of understanding can shed light on the role of scientific idealizations in producing scientific understanding. In philosophy of science, the received view seems to be that understanding is a species of knowledge. On this view, understanding is factive just as knowledge is, i.e., if S knows that p, then p is true. Epistemologists, however, distinguish between different kinds of understanding. Among epistemologists, there are those who (...) think that a certain kind of understanding—objectual understanding—is not factive, and those who think that objectual understanding is quasi-factive. Those who think that understanding is not factive argue that scientific idealizations constitute cognitive success, which we then consider as instances of understanding, and yet they are not true. This paper is an attempt to draw lessons from this debate as they pertain to the role of idealizations in producing scientific understanding. I argue that scientific understanding is quasi-factive. (shrink)

In True enough,, Elgin argues against veritism, which is the view that truth is the paramount epistemic objective. Elgin’s argument against veritism proceeds from considering the role that models, idealizations, and thought experiments play in science to the conclusion that veritism is unacceptable. In this commentary, I argue that Elgin’s argument fails as an argument against veritism. I sketch a refutation by logical analogy of Elgin’s argument. Just as one can aim at gold medals and still find approximations to gold, (...) such as silver and bronze medals, to be acceptable and honest achievements in competitive sports, one can aim at full truths as the paramount epistemic objective and still find approximations to truth, such as models and idealizations, to be acceptable and honest achievements in scientific inquiry. (shrink)

A strong, strictly virtue- based , and at the same time truth-centered framework for virtue epistemology (VE) is proposed that bases VE upon a clearly motivating epistemic virtue, inquisitiveness or curiosity in a very wide sense, characterizes the purely executive capacities-virtues as a means for the truth-goal set by the former, and, finally, situates the remaining, partly motivating and partly executive virtues in relation to this central stock of virtues. Character-trait epistemic virtues are presented as hybrids, partly moral, partly purely (...) epistemic. In order to make the approach virtue- based , it is argued that the central virtue (inquisitiveness or curiosity) is responsible for the value of truth: truth is valuable to cognizers because they are inquisitive, and most other virtues are a means for satisfying inquisitiveness. On can usefully combine this virtue-based account of the motivation for acquiring knowledge with a Sosa-style analysis of the concept “knowledge”, which brings to the forefront virtues-capacities, in order to obtain a full-blooded, “strong” VE. (shrink)

Structural analogies connect Williamson’s epistemology and action theory: for example, action is the direction-of-fit mirror image of knowledge, and knowledge stands to belief as action stands to intention. These structural analogies, for Williamson, are meant to illuminate more generally how ‘mirrors’ reversing direction of fit should be understood as connecting the spectrum of our cognitive and practically oriented mental states. This paper has two central aims, one negative and the other positive. The negative aim is to highlight some intractable problems (...) with Williamson’s preferred analogical picture, which links the cognitive and the practical through the nexus of direction-of-fit mirroring. The positive aim of the paper is to propose a better alternative. In particular, we show that an achievement-theoretic proposal captures what is in common across the range of attitudes that exhibit the kind of structure that knowledge-belief, action-desire/intention do, while at the same time avoiding the problems shown to face Williamson’s proposed picture. Moreover, we draw attention to several key theoretical benefits of embracing our proposed achievement-theoretic picture, including some of the key benefits of the knowledge-first programme that Williamson’s own analogies were designed to secure. (shrink)

Nietzsche thought at one point that predication originated through the misapplication of names for particulars to further particulars. I doubt myself that this is where the device came from, although one does occasionally encounter usage – such as ‘another Vietnam’ – that evidently does arise in this manner. However, his account of predication is a useful model for a more sophisticated device which we in fact deploy, namely, the intentional misdescription of one circumstance or another in the interests of expedited (...) inference, often via the misapplication of a predicate. I don’t believe that ‘… is a leaf’ is a systematic reapplication of the name of some ur-leaf, but just the other day, I told my gardener that the leaves were off the tree, and that she could come in and work on my pond. I was triggering an inference rule we both accept: that you schedule fall cleanup once the leaves are off the tree. Rather than describe the actual state of the tree , and then renegotiate the rule to match, it was simpler to work with the misdescriptions. My respondents recall that devices such as predication are flexible anyway; they conclude that there is no need to misapply them. Let me try to get you to think twice about the assumption that flexibility pre-empts misapplication. But as I proceed, bear in mind that my illustrations are not intended as an argument. Any given illustration can be read either as a misapplication of a description, or alternatively as a correct application of a predicate, whose use in context is controlled by, perhaps, the sort of techniques discussed by David Lewis …. (shrink)

Political epistemology is rich with thought experiments. Their most systematic function in the field is the construction of ideal theory. We present a sketch of a kind of political thought experiments, in fact, our preferred version of contractualist ones, in Scanlonian tradition. Following the contemporary pattern, we use some retouch: slightly idealizing the participants, making them reasonable and well informed.. We offer an epistemically oriented analysis of the way contractualist political thought experiments function within the human cognitive apparatus, from mental (...) modeling and simulation through empathy and sympathy to intuition. The whole process we describe, if successful, leads to understanding. And this providing of understanding, factual and normative, is a very important, if not indeed the most important role of thought-experimenting in political epistemology. (shrink)

In "Why Feynman Diagrams Represent", I argued that Feynman diagrams have two distinct functions: they are both calculational devices, developed to keep track of the long mathematical expressions of quantum electrodynamics,1 and they are pictorial representations. This challenges the common view that FDs are calculational devices alone and that it is misleading, if not an outright error, to think of them as pictorial. Following Kendall Walton's account of representation, I drew out what it means to think of FDs as pictures, (...) which in turn explained why FDs represent. However, my defence conceded an important point: not all of... (shrink)

I argue for an account of grasping, or understanding that, on which we grasp via a higher-order mental act of Husserlian fulfillment. Fulfillment is the act of matching up the objects of our phenomenally presentational experiences with those of our phenomenally representational thought. Grasping-by-fulfilling is importantly different from standard epistemic aims, in part because it is phenomenal rather than inferential. (I endorse Bourget’s 2017 arguments to that effect.) I show that grasping-by-fulfilling cannot be a species of propositional knowledge or belief, (...) and that it is not essentially connected to justification. I motivate a revisionary epistemology on which achieving propositional knowledge and coming to grasp are dual epistemic aims. My account makes sense of a common occurrence—that we are often unmoved to act on our beliefs until we come to phenomenally experience them in some way. It also explains puzzling features of human inquiry. (shrink)

I analyze the exploratory function of two main modeling practices: targetless fictional models and hypothetical perspectival models. In both cases, I argue, modelers invite us to imagine or conceive something about the target system, which is known to be either nonexistent or just hypothetical. I clarify the kind of imagining or conceiving involved in each modeling practice, and I show how each—in its own right—delivers important modal knowledge. I illustrate these two kinds of exploratory models with Maxwell’s ether model and (...) supersymmetric particle models at the Large Hadron Collider. (shrink)

Conciliationism is the view that an agent must revise her belief in a proposition when she becomes aware that there is an epistemic peer who disagrees with her about that proposition. If epistemic peers are anything less than strict cognitive and evidential equals, then even slight differences could explain away why the two parties disagree in the first place. But this strict notion of peerhood never obtains in many, if not most, of real-life cases disagreements between inquirers. One recent account (...) of peerhood which might obtain more frequently in cases of real-life disagreements comes from Elgin Voicing dissent: the ethics and epistemology of making disagreement public, Routledge, New York, pp 10–21, 2018). She argues that two scientists who are epistemic peers can disagree because while they might have the same reasoning abilities, they can have different reasoning styles. While there are merits to Elgin’s account, I argue that two people with different reasoning styles are unlikely to be epistemic peers since such differences could serve to explain away why they disagree. I argue that there is a conception of peerhood which can retain the sceptical force of conciliationism without trivializing or dismissing the problem of disagreement. I then conclude that a particularly attractive argument against conciliationism is gestured at by Elgin in one of her earlier pieces on disagreement. This argument is based on the idea that there are epistemic benefits to be gained from remaining steadfast in the face of disagreement Disagreement, Oxford University Press, Oxford, pp 53–68, 2010). The success of this argument, however, might force an inquirer faced with disagreement to choose between synchronic reasons and diachronic reasons. If Hughes’ recent defense of epistemic dilemmism is correct this may be a feature of the argument, rather than a bug. (shrink)

Just as knowledge contextualism offers a way out of knowledge skepticism in the face of powerful skeptical arguments, counterfactual contextualism purports to answer the many compelling arguments for the skeptical thesis that most ordinary counterfactuals of the form ‘if A had happened, C would have happened’, are false. In this article I review a few of the arguments for counterfactual skepticism, before surveying the various types of contextualist responses. I then discuss some of the recent objections to counterfactual contextualism, with (...) an eye toward weighing contextualism's costs with the costs of accepting skepticism. I conclude by remarking on some of the implications that skepticism and contextualism each has for many disputes in metaphysics. (shrink)

Elgin has argued that scientific models that are, strictly speaking, inaccurate representations of the world, are epistemically valuable because the “falsehoods” they contain are “felicitous”. Many, including Elgin herself, have interpreted this claim as offering an alternative to scientific realism and “veritism”. In this paper, I will argue that there is a more felicitous interpretation of Elgin’s work: “felicitous falsehoods” do play a role in the epistemic value of inaccurate models, but that role is of instrumental value. Elgin’s view is (...) not best understood as claiming that falsehoods provide scientific understanding in and of themselves, only that they facilitate epistemic access to the fundamental, even if partial, truths that are contained within models. While falsehoods may be felicitous in that they facilitate exemplification, the epistemic value of inaccurate models ultimately relies on their partial accuracy. (shrink)

Science is replete with falsehoods that epistemically facilitate understanding by virtue of being the very falsehoods they are. In view of this puzzling fact, some have relaxed the truth requirement on understanding. I offer a factive view of understanding that fully accommodates the puzzling fact in four steps: (i) I argue that the question how these falsehoods are related to the phenomenon to be understood and the question how they figure into the content of understanding it are independent. (ii) I (...) argue that the falsehoods do not figure into the understanding’s content by being elements of its periphery or core. (iii) Drawing lessons from case studies, I argue that the falsehoods merely enable understanding. When working with such falsehoods, only the truths we extract from them are elements of the content of our understanding. (iv) I argue that the extraction view is compatible with the thesis that falsehoods can have an epistemic value by virtue of being the very falsehoods they are. (shrink)

Scientists appeal to models when explaining phenomena. Such explanations are often dubbed model explanations or model-based explanations. But what are the precise conditions for ME? Are ME special explanations? In our paper, we first rebut two definitions of ME and specify a more promising one. Based on this analysis, we single out a related conception that is concerned with explanations that are induced from working with a model. We call them ‘model-induced explanations’. Second, we study three paradigmatic cases of alleged (...) ME. We argue that all of them are MIE, upon closer examination. Third, we argue that this undermines the building consensus that model explanations are special explanations that, e.g., challenge the factivity of explanation. Instead, it suggests that what is special about models in science is the epistemology behind how models induce explanations. (shrink)

How can we make businesspeople more concerned about the truth of the information they spread or allow to circulate? In this age of ‘fake news’, ‘business bullshit’ and ‘post-truth,’ the issue is of the utmost importance, especially for business trustworthiness in the internet economy. The issue is related to a kind of epistemic responsibility, that consists in accounting for one’s own epistemic wrongdoings, such as making a third party believe something false. Despite growing interest in epistemic misbehavior in the literature (...) of business ethics, the question of epistemic responsibility has been neglected. The aim of this paper is therefore to address this gap, by proposing a notion of epistemic responsibility for business, that may help regulate undesirable epistemic behavior, such as the spreading of false information. To define this notion of epistemic responsibility, I have introduced the concept of epistemic fault. Being epistemically responsible consists in being disposed to account for alleged epistemic faults. This notion of epistemic fault relies on a theoretical framework which combines a typology of eight ‘epistemic values’, a normative stance regarding these values, and a dispositional approach to epistemic virtues and vices. I use this theoretical framework to integrate the various accounts of epistemic virtues and vices found in the literature into a single explanatory scheme. Combined with the notion of epistemic responsibility itself, such an integrative framework should facilitate the practical application of an operational epistemic ethics in business, i.e., the development of virtuous epistemic practices. (shrink)

In recent years, epistemologists have devoted enormous attention to this question: what should happen when two epistemic peers disagree about the truth-value of some proposition? Some have argued that that in all such cases, both parties are rationally required to revise their position in some way. Others have maintained that, in at least some cases, neither party is rationally required to revise her position. In this paper, I examine a provocative and under-appreciated argument for the latter view due to Elgin (...) Disagreement, Oxford University Press, Oxford, pp 53–68, 2010; The Philosopher’s Magazine, fourth quarter, pp 77–82, 2012; True enough, MIT Press, Cambridge, 2017; in: Johnson Voicing dissent: the ethics and epistemology of making disagreement public, Routledge, New York, pp 10–21, 2018). I defend it against a series of objections, and I then identify some fruitful ways in which her view could be developed further. (shrink)

The recent discussion of fictional models has focused on imagination, implicitly considering fictions as something nonconcrete. We present two cases from synthetic biology that can be viewed as concrete fictions. Both minimal cells and alternative genetic systems are modal in nature: they, as well as their abstract cousins, can be used to study unactualized possibilia. We approach these synthetic constructs through Vaihinger’s notion of a semi-fiction and Goodman’s notion of semifactuality. Our study highlights the relative existence of such concrete fictions. (...) Before their realizations neither minimal cells nor alternative genetic systems were any well-defined objects, and the subsequent experimental work has given more content to these originally schematic imaginings. But it is as yet unclear whether individual members of these heterogeneous groups of somewhat functional synthetic constructs will eventually turn out to be fully realizable, remain only partially realizable, or prove outright impossible. (shrink)

This paper presents an artifactual approach to models that also addresses their fictional features. It discusses first the imaginary accounts of models and fiction that set model descriptions apart from imagined-objects, concentrating on the latter :251–268, 2010; Frigg and Nguyen in The Monist 99:225–242, 2016; Godfrey-Smith in Biol Philos 21:725–740, 2006; Philos Stud 143:101–116, 2009). While the imaginary approaches accommodate surrogative reasoning as an important characteristic of scientific modeling, they simultaneously raise difficult questions concerning how the imagined entities are related (...) to actual representational tools, and coordinated among different scientists, and with real-world phenomena. The artifactual account focuses, in contrast, on the culturally established external representational tools that enable, embody, and extend scientific imagination and reasoning. While there are commonalities between models and fictions, it is argued that the focus should be on the fictional uses of models rather than considering models as fictions. (shrink)

The predominance of machine learning based techniques in cognitive neuroscience raises a host of philosophical and methodological concerns. Given the messiness of neural activity, modellers must make choices about how to structure their raw data to make inferences about encoded representations. This leads to a set of standard methodological assumptions about when abstraction is appropriate in neuroscientific practice. Yet, when made uncritically these choices threaten to bias conclusions about phenomena drawn from data. Contact between the practices of multivariate pattern analysis (...) and philosophy of science can help to illuminate the conditions under which we can use artificial neural networks to better understand neural mechanisms. This paper considers a specific technique for MVPA called representational similarity analysis. I develop a theoretically-informed account of RSA that draws on early connectionist research and work on idealization in the philosophy of science. By bringing a philosophical account of cognitive modelling in conversation with RSA, this paper clarifies the practices of neuroscientists and provides a generalizable framework for using artificial neural networks to study neural mechanisms in the brain. (shrink)

Epistemologists have recently debated whether understanding is a species of knowledge. However, because they have offered little in the way of a detailed analysis of understanding, they lack the resources to resolve this issue. In this paper, I propose that S understands why p if and only if S has the non-Gettierised true belief that p, and for some proposition q, S has the non-Gettierised true belief that q is the best available explanation of p, S can correctly explain p (...) with q, and S can identify the features that make q the best explanation of p. On this analysis, understanding is reducible to knowing that p and that q is the best available explanation of p. (shrink)

Many have argued that the human sciences feature a unique form of understanding that is absent from the natural sciences. However, in the last decade or so, epistemologists and philosop...

In developing her ethics of care, Eva Kittay discusses the vulnerability and voluntarism models of obligation. Kittay uses the vulnerability model to demonstrate that we have some obligations to ca...

Some philosophers (e.g., Pritchard, Grimm, and Hills) recently have objected that veritism cannot explain the epistemic value of understanding-why. And they have proposed two anti-veritist accounts. In this paper, I first introduce their objection and argue that it fails. Next, I consider a strengthened version of their objection and argue that it also fails. After that, I suggest a new veritist account: Understanding-why entails believing the truth that what is grasped is accurate (or accurate enough), and it is this true (...) belief, along with many other true beliefs understanding-why entails, that makes understanding-why finally epistemically valuable. Then, I explain why the two anti-veritist accounts are both false. Finally, I briefly discuss the idea that understanding involves a kind of know-how and show how veritism can explain the epistemic value of know-how in general. (shrink)

Science frequently gives us multiple, compatible ways of solving the same problem or formulating the same theory. These compatible formulations change our understanding of the world, despite providing the same explanations. According to what I call "conceptualism," reformulations change our understanding by clarifying the epistemic structure of theories. I illustrate conceptualism by analyzing a typical example of symmetry-based reformulation in chemical physics. This case study poses a problem for "explanationism," the rival thesis that differences in understanding require ontic explanatory differences. (...) To defend conceptualism, I consider how prominent accounts of explanation might accommodate this case study. I argue that either they do not succeed, or they generate a skeptical challenge. (shrink)

ABSTRACT: According to a traditional account, understanding why X occurred is equivalent to knowing that X was caused by Y. This paper defends the account against a major objection, viz., knowing-that is not sufficient for understanding-why, for understanding-why requires a kind of grasp while knowledge-that does not. I discuss two accounts of grasp in recent literature and argue that if either is true, then knowing that X was caused by Y entails at least a rudimentary understanding of why X occurred. (...) If my defense is successful, it would cast doubt on an influential account of the epistemic value of understanding. (shrink)

In a recent journal article, as well as in a recent book chapter, in which she critiques my position on ‘indigenous knowledge’, Lesley Green of the Department of Social Anthropology at the University of Cape Town argues that ‘diverse epistemologies ought to be evaluated not on their capacity to express a strict realism but on their ability to advance understanding’. In order to examine the implications of Green’s arguments, and of Nelson Goodman and Catherine Elgin’s work in this regard, I (...) apply them to a well-known controversy between Native American (or First Nations) creationism and archaeology. I argue that issues in social justice should be distinguished from issues in epistemology. Moreover, in tightening in this paper the link between knowledge and truth, I attempt to defend science as a ‘privileged way of seeing the world’. The analysis of truth, and of related concepts like reality and ‘the way the world is’, will assume a central role here. I contend that, ultimately, the only coherent and consistent position is a realist view of the pertinent issues and ideas. (shrink)

Talk of “levels” can be found throughout the sciences, from “levels of abstraction”, to “levels of organization”, to “levels of analysis”. This has led to substantial disagreement regarding the ontology of levels, and whether the various senses of levels each have genuine value and utility to scientific practice. In this paper, I propose a unified framework for thinking about levels in science which ties together the various ways in which levels are invoked in science, and which can overcome the problems (...) that different senses of levels have faced. I argue that levels can best be understood as choices scientists make regarding what sort of information to foreground in their models and theories, and what sort of information to push into the background. To change levels is to change the foregrounding and backgrounding of information for different representational and pragmatic purposes. (shrink)

This aim of this paper is two-fold: it critically analyses and rejects accounts blending active inference as theory of mind and enactivism; and it advances an enactivist-dynamic understanding of social cognition that is compatible with active inference. While some social cognition theories seemingly take an enactive perspective on social cognition, they explain it as the attribution of mental states to other people, by assuming representational structures, in line with the classic Theory of Mind. Holding both enactivism and ToM, we argue, (...) entails contradiction and confusion due to two ToM assumptions widely known to be rejected by enactivism: that social cognition reduces to mental representation and social cognition is a hardwired contentful ‘toolkit’ or ‘starter pack’ that fuels the model-like theorising supposed in. The paper offers a positive alternative, one that avoids contradictions or confusion. After rejecting ToM-inspired theories of social cognition and clarifying the profile of social cognition under enactivism, that is without assumptions and, the last section advances an enactivist-dynamic model of cognition as dynamic, real-time, fluid, contextual social action, where we use the formalisms of dynamical systems theory to explain the origins of socio-cognitive novelty in developmental change and active inference as a tool to demonstrate social understanding as generalised synchronisation. (shrink)

We may usefully distinguish between one’s having fallible knowledge and having a fallibilist stance on some of one’s knowledge. A fallibilist stance could include a concessive knowledge-attribution. But it might also include a questioning knowledge-attribution. Attending to the idea of a QKA leads to a distinction between what we may call closed knowledge that p and open knowledge that p. All of this moves us beyond Elgin’s classic tale of the epistemic capacities of Holmes and of Watson, and towards a (...) way of resolving Kripke’s puzzle about dogmatism and knowing. (shrink)

What is the primary intellectual aim of philosophy? The standard view is that philosophy aims to provide true answers to philosophical questions. But if our aim is to settle controversy by answering such questions, our discipline is an embarrassing failure. Moreover, taking philosophy to aim at providing true answers to these questions leads to a variety of puzzles: How do we account for philosophical expertise? How is philosophical progress possible? Why do job search committees not care about the truth or (...) falsity of a candidate’s philosophical views? We argue that philosophy does not aim at discovering true answers to philosophical questions. Instead, its primary intellectual aim is understanding. We argue that many familiar aspects of philosophy become intelligible once we accept this hypothesis. (shrink)

I describe a suite of reinforcement learning environments in which artificial agents learn to value and respond to moral content and contexts. I illustrate the core principles of the framework by characterizing one such environment, or “gridworld,” in which an agent learns to trade-off between monetary profit and fair dealing, as applied in a standard behavioral economic paradigm. I then highlight the core technical and philosophical advantages of the learning approach for modeling moral cognition, and for addressing the so-called value (...) alignment problem in AI. (shrink)

In Hard Truths Elijah Millgram argues that ‘partial truth’ is pervasive and for that reason bivalence 1 may rarely be assumed. As classical logic assumes bivalence, and inferences from partial truths to partial truths are central to our thinking, classical logic rarely has application, the argument continues. And so we must develop an account of inference from partial truths to partial truths; as well, our metaphysics must be revised. While the novel positions of Hard Truths 2 raise many interesting challenges, (...) my focus is limited to offering an alternative to Millgram’s account of predication and to exploring some issues raised by his appeal to ‘fit’ in his definitions of truth and partial truth. 1. Introduction to partial truth Millgram defines truth and partial truth in terms of fit, as follows: Advancing a claim as fully true demands complete fit; assessing a claim as partially true allows for slack … but only so much of it. Claims are said to completely fit, slackly fit or not fit, the world, in §6.3. But, the word ‘fit’ is first introduced in §1.2, and it is experience or proto-experience, that fits into moulds provided by claims, thoughts, sentences and predicates. I won’t dwell on which fits what, 3 but on the notion of a ‘complete fit’ and the contrast with a ‘slack fit’; this discussion leads me to ponder the clarity and implications of appealing to these notions in definitions like the above. Millgram’s explanation of fit comes in the context of his account of predication, according to which, most predicates do not quite apply. It’s this that is primarily responsible for his promotion of partial truth. I sketch an alternative account of language whereby predicates do apply because language has come to life as a constituent of the things we do: …. (shrink)

This article uses recent work in philosophy of science and social epistemology to argue for a shift in analytic philosophy of religion from a knowledge-centric epistemology to an epistemology centered on understanding. Not only can an understanding-centered approach open up new avenues for the exploration of largely neglected aspects of the religious life, it can also shed light on how religious participation might be epistemically valuable in ways that knowledge-centered approaches fail to capture. Further, it can create new opportunities for (...) interaction with neighboring disciplines and can help us revitalize and transform stagnant debates in philosophy of religion, while simultaneously allowing for the introduction and recovery of marginalized voices and traditions. (shrink)

This paper employs tools and critiques from analytic feminist scholarship in order to show how particular values commonly on display in analytic theology have served both to marginalize certain voices from the realm of analytic theological debate and to reinforce a particular conception of the divine—one which, despite its historical roots, is not inevitable. I claim that a particular conception of what constitutes a “rational, objective, analytic thinker” often displays certain affinities with those infinite or maximal properties that analytic theologians (...) have taken to be most relevant or essential to their theological conceptions of the divine, and I explore what thinking differently about the former might mean for how we think about the latter and vice versa. (shrink)

Among philosophers of science there seems to be a general consensus that understanding represents a species of knowledge, but virtually every major epistemologist who has thought seriously about understanding has come to deny this claim. Against this prevailing tide in epistemology, I argue that understanding is, in fact, a species of knowledge: just like knowledge, for example, understanding is not transparent and can be Gettiered. I then consider how the psychological act of "grasping" that seems to be characteristic of understanding (...) differs from the sort of psychological act that often characterizes knowledge. Zagzebski's account Kvanvig's account Two problems Comanche cases Unreliable sources of information The upper-right quadrant So is understanding a species of knowledge? A false choice. (shrink)

In Chapter 3 of True Enough, Elgin outlines her view of objectual understanding, focusing largely on its non-factive nature and the extent to which a certain kind of know-how is required for the “grasping” component of understanding. I will explore four central issues that feature in this chapter, concentrating on the role of know-how, the concept of endorsement, Elgin’s critique of the factivity constraint on understanding, and how we might use aspects of Elgin’s framework to inform related debates on the (...) norm of assertion. (shrink)

The thesis of this paper is that, if it is construed individualistically, epistemic justification does not capture the conditions that philosophers of science would impose on justified belief in a scientific hypothesis. The difficulty arises from beliefs acquired through testimony. From this I derive a lesson that epistemologists generally, and epistemologists of testimony in particular, should learn from philosophers of science: we ought to repudiate epistemic individualism and move towards a more fully social epistemology.

Among epistemologists, it is common to assume that insofar as coherence bears on the justification of belief, the only relevant coherence relations are those _within_ an individual subject’s web of beliefs. After clarifying this view and exploring some plausible motivations for it, we argue that this individualistic account of the epistemic relevance of coherence fails to account for central facets of scientific practice. In its place we propose a social account of coherence. According to the view we propose, a scientist (...) _S_’s belief that _p_ is _prima facie_ unjustified if this belief negatively coheres with justified scientific claims in her scientific community. This account of coherence yields an epistemology for scientific belief which, we argue, has all of the benefits and none of the liabilities of its more individualistic predecessor. (shrink)

According to mainstream linguistic phonetics, speech can be modeled as a string of discrete sound segments or “phones” drawn from a universal phonetic inventory. Recent work has argued that a mature phonetics should refrain from theorizing about speech and speech processing using sound segments, and that the phone concept should be eliminated from linguistic theory. The paper lays out the tenets of the phone methodology and evaluates its prospects in light of the eliminativist arguments. I claim that the eliminativist arguments (...) fail to show that the phone concept should be eliminated from linguistic theory. (shrink)

This essay presents a unified account of safety, sensitivity, and severe testing. S’s belief is safe iff, roughly, S could not easily have falsely believed p, and S’s belief is sensitive iff were p false S would not believe p. These two conditions are typically viewed as rivals but, we argue, they instead play symbiotic roles. Safety and sensitivity are both valuable epistemic conditions, and the relevant alternatives framework provides the scaffolding for their mutually supportive roles. The relevant alternatives condition (...) holds that a belief is warranted only if the evidence rules out relevant error possibilities. The safety condition helps categorise relevant from irrelevant possibilities. The sensitivity condition captures ‘ruling out’. Safety, sensitivity, and the relevant alternatives condition are typically presented as conditions on warranted belief or knowledge. But these properties, once generalised, help characterise other epistemic phenomena, including warranted inference, legal verdicts, scientific claims, reaching conclusions, addressing questions, warranted assertion, and the epistemic force of corroborating evidence. We introduce and explain Mayo’s severe testing account of statistical inference. A hypothesis is severely tested to the extent it passes tests that probably would have found errors, were they present. We argue Mayo’s account is fruitfully understood using the resulting relevant alternatives framework. Recasting Mayo’s condition using the conceptual framework of contemporary epistemology helps forge fruitful connections between two research areas—philosophy of statistics and the analysis of knowledge—not currently in sufficient dialogue. The resulting union benefits both research areas. (shrink)