Understanding

What is the epistemic 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 philosophical questions, our discipline is an embarrassing failure. Moreover, taking philosophy to aim at true answers to such 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, we argue that its primary intellectual aim is understanding, and that many familiar aspects of philosophy become intelligible once we accept this hypothesis. (shrink)

Wittgenstein seeks to throw light on our concept of understanding by looking at how misunderstandings arise and what kinds of failure they involve. He discerns a peculiar sort of misunderstanding in the writings of the social anthropologist James Frazer. In Frazer’s hands, the anthropological project of enabling us to understand human behavior seems to yield the result that there are certain forms of human behavior that simply cannot be understood. The source of Frazer’s misunderstanding, according to Wittgenstein, is that he (...) places narrow requirements on what could count as meaningful, prior to and independently of his encounter with the subjects of his interpretation. Frazer, like some of the philosophers Wittgenstein addresses in his other works, succumbs to nonsense in his very attempt to draw the limits of sense. My aim in this chapter is to clarify the connections between Wittgenstein’s criticism of Frazer and his criticism of his fellow philosophers, in particular of Frege. The materials I draw on stem from various periods in Wittgenstein’s career, and they reveal, in my mind, an important continuity in Wittgenstein’s thought: addressing misunderstanding, in Wittgenstein’s view, is fundamentally an ethical problem, not a theoretical one. (shrink)

The primary aim of this paper is to argue that the value of understanding derives in part from a kind of subjective stability of belief that we call epistemic resilience. We think that this feature of understanding has been overlooked by recent work, and we think it’s especially important to the value of understanding for social cognitive agents such as us. We approach the concept of epistemic resilience via the idea of the experience of epistemic ownership and argue that the (...) former concept has Platonic pedigree. Contrary to longstanding exegetical tradition, we think that Plato solves the “Meno problem” with an appeal to the epistemic resilience characteristic of understanding, not the well-groundedness characteristic of canonical cases of propositional knowledge. Finally, we apply our discussion to the case of science outreach and the challenge of global warming skepticism and conclude with directions for future research. (shrink)

This chapter introduces some central issues in Epistemology, and, like others in the open textbook series Introduction to Philosophy, is set up for rewarding college classroom use, with discussion/reflection questions matched to clearly-stated learning objectives,, a brief glossary of the introduced/bolded terms/concepts, links to further open source readings as a next step, and a readily-accessible outline of the classic between William Clifford and William James over the "ethics of belief." The chapter introduces questions of epistemic value through Plato's famous example (...) of the 'road to Larissa,' and goes on to explain work on doxastic responsibility, on intellectual “virtue”/“vice,” and on epistemic value monism vs. pluralism. Section 1; Epistemic Value and the Value Problem; Section 2: The Ethics of Belief; Section 3: Virtue & Vice Epistemologies; Section 4: Epistemic Paternalism. (shrink)

This paper aims to provide a unifying approach to the analysis of understanding coherencies (interrogative understanding, e.g. understanding why something is the case) and understanding subject matters (objectual understanding) by highlighting the contextualist nature of understanding. Inspired by the relevant alternatives contextualism about knowledge, I will argue that understanding (in the above mentioned sense) inherently has context-sensitive features and that a theory of understanding that highlights those features can incorporate our intuitions towards understanding as well as consolidate the different accounts (...) of how to analyse understanding. In developing a contextualist account of understanding, I will argue that an account of the features commonly taken to be central to understanding greatly benefits from a contextualist framework. Central to my analysis will be the claim that a person has to fulfil the function of a competent problem solver in order to qualify for the ascription of understanding. In addition to the theoretical elucidation of my contextualist approach to understanding, a demanding hypothetical scenario will be developed to function as a test case. (shrink)

Duncan Pritchard (2008, 2009, 2010, forthcoming) has argued for an elegant solution to what have been called the value problems for knowledge at the forefront of recent literature on epistemic value. As Pritchard sees it, these problems dissolve once it is recognized that that it is understanding-why, not knowledge, that bears the distinctive epistemic value often (mistakenly) attributed to knowledge. A key element of Pritchard’s revisionist argument is the claim that understanding-why always involves what he calls strong cognitive achievement—viz., cognitive (...) achievement that consists always in either (i) the overcoming of a significant obstacle or (ii) the exercise of a significant level of cognitive ability. After outlining Pritchard’s argument, we show (contra Pritchard) that understanding-why does not essentially involve strong cognitive achievement. Interestingly, in the cases in which understanding-why is distinctively valuable, it is (we argue) only because there is sufficiently rich objectual understanding in the background. If that’s right, then a plausible revisionist solution to the value problems must be sensitive to different kinds of understanding and what makes them valuable, respectively. (shrink)

I present a puzzle – the “puzzle of aesthetic testimony” – along with a solution to it that appeals to the impossibility of testimonial understanding. I'll criticize this solution by defending the possibility of testimonial understanding, including testimonial aesthetic understanding.

Can understanding be transmitted by testimony, in the same sense that propositional knowledge can be transmitted by testimony? Some contemporary philosophers – call them testimonial understanding pessimists – say No, and others – call them testimonial understanding optimists – say Yes. In this chapter I will articulate testimonial understanding pessimism (§1) and consider some arguments for it (§2).

Some philosophers 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, 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)

Many philosophers take understanding to be a distinctive kind of knowledge that involves grasping dependency relations; moreover, they hold it to be particularly valuable. This paper aims to investigate and address two well-known puzzles that arise from this conception: (1) the nature of understanding itself—in particular, the nature of “grasping”; (2) the source of understanding’s distinctive value. In what follows, I’ll argue that we can shed light on both puzzles by recognizing first, the importance of the distinction between the act (...) of coming to understand and the state of understanding; and second, that coming to understand is a creative act. (shrink)

A problem-solving-based account of scientific progress that takes understanding as the principal epistemic aim of science is developed and defended against knowledge reductionism.

The notion of understanding occupies an increasingly prominent place in contemporary epistemology, philosophy of science, and moral theory. A central and ongoing debate about the nature of understanding is how it relates to the truth. In a series of influential contributions, Catherine Elgin has used a variety of familiar motivations for antirealism in philosophy of science to defend a non- factive theory of understanding. Key to her position are: (i) the fact that false theories can contribute to the upwards trajectory (...) of scientific understanding, and (ii) the essential role of inaccurate idealisations in scientific research. Using Elgin’s arguments as a foil, I show that a strictly factive theory of understanding has resources with which to offer a unified response to both the problem of idealisations and the role of false theories in the upwards trajectory of scientific understanding. Hence, strictly factive theories of understanding are viable notwithstanding these forceful criticisms. (shrink)

Starting with the slogan that understanding is a 'knowledge of causes,' Stephen Grimm and John Greco have argued that understanding comes from a knowledge of dependence relations. Grounding is the trendiest dependence relation on the market, and if Grimm and Greco are correct, then instances of grounding should also give rise to understanding. In this paper, I will show that this prediction is correct-grounding does indeed generate understanding in just the way that Grimm and Greco anticipate. However, grounding examples of (...) understanding also show that Grimm and Greco are not telling the full story when it comes to understanding. Understanding can only be generated by a particular subset of dependence relations-those dependence relations that are also explanatory. Grimm and Greco should thus appeal to a privileged class of dependence relations, relations like grounding that can give rise to explanation as well. (shrink)

Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this paper, I argue that non-epistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal opacity (...) problem, where greater inductive risk demands a higher level of transparency regarding the inferences the model makes. (shrink)

Contemporary debate surrounding the nature of scientific progress has focused upon the precise role played by justification, with two realist accounts having dominated proceedings. Recently, however, a third realist account has been put forward, one which offers no role for justification at all. According to Finnur Dellsén’s (Stud Hist Philos Sci Part A 56:72–83, 2016) noetic account, science progresses when understanding increases, that is, when scientists grasp how to correctly explain or predict more aspects of the world that they could (...) before. In this paper, we argue that the noetic account is severely undermotivated. Dellsén provides three examples intended to show that understanding can increase absent the justification required for true belief to constitute knowledge. However, we demonstrate that a lack of clarity in each case allows for two contrasting interpretations, neither of which serves its intended purpose. On the first, the agent involved lacks both knowledge and understanding; and, on the second, the agent involved successfully gains both knowledge and understanding. While neither interpretation supports Dellsén’s claim that understanding can be prised apart from knowledge, we argue that, in general, agents in such cases ought to be attributed neither knowledge nor understanding. Given that the separability of knowledge and understanding is a necessary component of the noetic account, we conclude that there is little support for the idea that science progresses through increasing understanding rather than the accumulation of knowledge. (shrink)

We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.

The framework of the modern Western analysis of culture, in terms of the socio-historical situation of the subject and the reciprocal influence of one on the other, has its roots in nineteenth century discussions. This paper will examine two traditions: the hermeneutic approach of Wilhelm Dilthey, and the Völkerpsychologie of Moses Lazarus and Chajim Steinthal. The account will focus on two elements. First, Lazarus and Steinthal attempted to motivate an account based on collective structures, or forms, of rationality made manifest (...) by a people or Volk; the paper will explore their account of how collective structures can be employed in sociohistorical analysis. Second, Dilthey rejected Lazarus’s and Steinthal’s argument that it was possible to identify the norms of action governing social phenomena. Dilthey rejected any account of psychology that took it to be law-governed, even retrospectively, because he argued that the ‘nexus of life’ that is the ultimate basis of the human sciences cannot be reduced to any law-governed or explanatory relationship between the self, society, and nature. However, there is a deep tension in Dilthey’s position here, which is evident in the development of his work over time. The account below will explore this tension and its significance for the understanding of the subject and the role of psychology in the human sciences. (shrink)

Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...) this paper, using the case of deep neural networks, I argue that it is not the complexity or black box nature of a model that limits how much understanding the model provides. Instead, it is a lack of scientific and empirical evidence supporting the link that connects a model to the target phenomenon that primarily prohibits understanding. (shrink)

We are often urged to figure things out for ourselves rather than to rely on other people’s say-so, and thus be ‘epistemically autonomous’ in one sense of the term. But why? For almost any important question, there will be someone around you who is at least as well placed to answer it correctly. So why bother making up your own mind at all? I consider, and then reject, two ‘egoistic’ answers to this question according to which thinking for oneself is (...) beneficial for the autonomous agent herself. I go on to suggest that the reason we should (sometimes) think for ourselves is that doing so (sometimes) increases the collective reliability of the epistemic community to which we belong. In many cases, this will do nothing at all to increase our own chances of forming correct beliefs. So, at least in this respect, the rationale for being epistemically autonomous is entirely ‘altruistic’. (shrink)

What is scientific progress? This paper advances an interpretation of this question, and an account that serves to answer it. Roughly, the question is here understood to concern what type of cognitive change with respect to a topic X constitutes a scientific improvement with respect to X. The answer explored in the paper is that the requisite type of cognitive change occurs when scientific results are made publicly available so as to make it possible for anyone to increase their understanding (...) of X. This account is briefly compared to two rival accounts of scientific progress, based respectively on increasing truthlikeness and accumulating knowledge, and is argued to be preferable to both. (shrink)

Contrastivism about interrogative understanding is the view that ‘S understands why p’ posits a three-place epistemic relation between a subject S, a fact p, and an alternative to p, q. This thesis stands in stark opposition to the natural idea that a subject S can be said to understand why psimpliciter. I argue that contrastivism offers the best explanation for the fact that evaluations of the form ‘S understands why p’ vary depending on the alternatives to p under consideration. I (...) also show that contrastivism offers valuable resources with which to explain the gradability of interrogative understanding attributions, as well as the sensitivity of these attributions to the perceived degree of epistemic demandingness of different contexts. (shrink)

The philosophical interest in the nature, value, and varieties of human understanding has swelled in recent years. This article will provide an overview of new research in the epistemology of understanding, with a particular focus on the following questions: What is understanding and why should we care about it? Is understanding reducible to knowledge? Does it require truth, belief, or justification? Can there be lucky understanding? Does it require ‘grasping’ or some kind of ‘know-how’? This cluster of questions has largely (...) set the research agenda for the study of understanding in epistemology. This article will conclude by discussing some varieties of understanding and highlight directions for future research. (shrink)

Hempel seems to hold the following three views: (H1) Understanding is pragmatic/relativistic: Whether one understands why X happened in terms of Explanation E depends on one's beliefs and cognitive abilities; (H2) Whether a scientific explanation is good, just like whether a mathematical proof is good, is a nonpragmatic and objective issue independent of the beliefs or cognitive abilities of individuals; (H3) The goal of scientific explanation is understanding: A good scientific explanation is the one that provides understanding. Apparently, H1, H2, (...) and H3 cannot be all true. Some philosophers think that Hempel is inconsistent, while some others claim that Hempel does not actually hold H3. I argue that Hempel does hold H3 and that he can consistently hold all of H1, H2, and H3 if he endorses what I call the “understanding argument.” I also show how attributing the understanding argument to Hempel can make more sense of his D-N model and his philosophical analysis of the pragmatic aspects of scientific explanation. (shrink)

I want to combine two hitherto largely independent research projects, scientific understanding and mechanistic explanations. Understanding is not only achieved by answering why-questions, that is, by providing scientific explanations, but also by answering what-questions, that is, by providing what I call scientific descriptions. Based on this distinction, I develop three forms of understanding: understanding-what, understanding-why, and understanding-how. I argue that understanding-how is a particularly deep form of understanding, because it is based on mechanistic explanations, which answer why something happens in (...) virtue of what it is made of. I apply the three forms of understanding to two case studies: first, to the historical development of thermodynamics and, second, to the differences between the Clausius and the Boltzmann entropy in explaining thermodynamic processes. (shrink)

Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “stakeholders' desiderata”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approaches are supposed to achieve the goal of satisfying stakeholders' desiderata. This paper discusses the main classes of stakeholders calling for explainability (...) of artificial systems and reviews their desiderata. We provide a model that explicitly spells out the main concepts and relations necessary to consider and investigate when evaluating, adjusting, choosing, and developing explainability approaches that aim to satisfy stakeholders' desiderata. This model can serve researchers from the variety of different disciplines involved in XAI as a common ground. It emphasizes where there is interdisciplinary potential in the evaluation and the development of explainability approaches. (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)

The feeling of clarity can be dangerously seductive. It is the feeling associated with understanding things. And we use that feeling, in the rough-and-tumble of daily life, as a signal that we have investigated a matter sufficiently. The sense of clarity functions as a thought-terminating heuristic. In that case, our use of clarity creates significant cognitive vulnerability, which hostile forces can try to exploit. If an epistemic manipulator can imbue a belief system with an exaggerated sense of clarity, then they (...) can induce us to terminate our inquiries too early — before we spot the flaws in the system. How might the sense of clarity be faked? Let’s first consider the object of imitation: genuine understanding. Genuine understanding grants cognitive facility. When we understand something, we categorize its aspects more easily; we see more connections between its disparate elements; we can generate new explanations; and we can communicate our understanding. In order to encourage us to accept a system of thought, then, an epistemic manipulator will want the system to provide its users with an exaggerated sensation of cognitive facility. The system should provide its users with the feeling that they can easily and powerfully create categorizations, generate explanations, and communicate their understanding. And manipulators have a significant advantage in imbuing their systems with a pleasurable sense of clarity, since they are freed from the burdens of accuracy and reliability. I offer two case studies of seductively clear systems: conspiracy theories; and the standardized, quantified value systems of bureaucracies. (shrink)

ABSTRACTConventional wisdom holds that there is no lucky knowledge: if it is a matter of luck, in some relevant sense, that one's belief that p is true, then one does not know that p. Here I will argue that there is similarly no lucky understanding, at least in the case of one type of luck, namely environmental luck. This argument has three parts. First, we need to determine how we evaluate whether one has understanding, which requires determining what I will (...) call understanding's evaluative object. I argue that as the evaluative object of knowledge is a belief in a proposition, the evaluative object of understanding is a mental representation of a relational structure. Next, I show that arguments that environmental luck is incompatible with understanding miss the mark by considering cases in which one has a belief in a proposition is lucky to be true, instead of ones in which one's mental representation of a relational structure is lucky to obtain. I agree, then, with those who argue that one can have understanding when one's beliefs are environmentally lucky to be true, but that this compatibility is not relevant when considering the question of whether one can have environmentally lucky understanding. I then present what I take to be a properly constructed case which shows the incompatibility of environmental luck with understanding. (shrink)

The goal of this paper is twofold. First, we argue that the understanding one has of a proposition or a propositional content of a representational vehicle is a species of what contemporary epistemologists characterise as objectual understanding. Second, we demonstrate that even though this type of understanding differs from linguistic understanding, in many instances of successful communication, these two types of understanding jointly contribute to understanding a communicated thought.

While possessing moral understanding is agreed to be a core epistemic and moral value, it remains a matter of dispute whether it can be acquired via testimony and whether it involves an ability to engage in moral reasoning. This paper addresses both issues with the aim of contributing to the current debates on moral understanding in moral epistemology and virtue ethics. It is argued that moral epistemologists should stop appealing to the argument from the transmissibility of moral understanding to make (...) a case for their favorite view of moral understanding. It is also argued that proponents of exemplarist moral theories cannot remain neutral on whether the ability to engage in moral reasoning is a necessary component of moral understanding. (shrink)

Among contemporary epistemologists and scholars of ancient philosophy, one often hears that transmitting propositional knowledge by testimony is usually easy and straightforward, but transmitting understanding and know-how by testimony is usually difficult or simply impossible. Further provocative conclusions are then sometimes drawn from these claims: for instance, that know-how and understanding are not types of propositional knowledge. In contrast, I argue that transmitting propositional knowledge is sometimes easy and sometimes hard, just as transmitting know how and understanding is sometimes easy (...) and sometimes hard. No general lessons can be drawn about the relationships among propositional knowledge, know how, and understanding by considering the case of testimony alone. (shrink)

Biases affect much of our epistemic lives. Do they affect how we understand things? For Linda Zagzebski, we only understand something when we manifest intellectual virtues or skills. Relying on how widespread biases are, J. Adam Carter and Duncan Pritchard raise a skeptical objection to understanding so conceived. It runs as follows: most of us seem to understand many things. We genuinely understand only when we manifest intellectual virtues or skills, and are cognitively responsible for so doing. Yet much of (...) what we seem to understand consists in conceptions whose formation could have easily been due to biases instead, and the work of biases is opaque to reflection. If conceptions constituting how we understand things could have easily been due to biases, then we are not cognitively responsible for them because we cannot reflectively appraise what we understand. So, we are mistaken in thinking we genuinely understand most of the time. I will defend the grounding of understanding in intellectual virtues and skills from Carter and Pritchard’s objection. We are cognitively responsible for understanding when we manifest our expertise. We can do so, I will argue, without being required to reflectively appraise what we understand. (shrink)

Vaidya has recently argued that while Husserl’s method for acquiring knowledge of essence through use of our imagination is subject to a vicious epistemic circle, we can still use the method to successfully attain objectual understanding of essence. In this paper, I argue that the Husserlian objectual understanding-based epistemology envisaged by Vaidya suffers from a similar epistemic circularity as its knowledge-based foil. I argue that there is a straight-forward solution to this problem, but then raise three serious problems for an (...) amended version of Vaidya’s proposal and any similar Husserlian epistemology of essence. The paper closes with some general reflections on applying the Husserlian method to the contemporary notion of essence and on the idea of refocusing the epistemology of essence on understanding instead of knowledge. (shrink)

Book Review: De Regt, H. W. Understanding Scientific Understanding. New York: Oxford University Press, 2017.

ABSTRACTA thriving project in contemporary epistemology concerns identifying and explicating the epistemic virtues. Although there is little sustained argument for this claim, a number of prominent sources suggest that curiosity is an epistemic virtue. In this paper, I provide an account of the virtue of curiosity. After arguing that virtuous curiosity must be appropriately discerning, timely and exacting, I then situate my account in relation to two broader questions for virtue responsibilists: What sort of motivations are required for epistemic virtue? (...) And do epistemic virtues need to be reliable? I will sketch an account on which curiosity is only virtuous when rooted in a non-instrumental appreciation of epistemic goods, before arguing that curiosity can exhibit intellectual virtue irrespective of whether one is reliable in satisfying it. (shrink)

Despite playing an important role in epistemology, philosophy of science, and more recently in moral philosophy and aesthetics, the nature of understanding is still much contested. One attractive framework attempts to reduce understanding to other familiar epistemic states. This paper explores and develops a methodology for testing such reductionist theories before offering a counterexample to a recently defended variant on which understanding reduces to what an agent knows.

The paper argues that an account of understanding should take the form of a Carnapian explication and acknowledge that understanding comes in degrees. An explication of objectual understanding is defended, which helps to make sense of the cognitive achievements and goals of science. The explication combines a necessary condition with three evaluative dimensions: An epistemic agent understands a subject matter by means of a theory only if the agent commits herself sufficiently to the theory of the subject matter, and to (...) the degree that the agent grasps the theory, the theory answers to the facts and the agent’s commitment to the theory is justified. The threshold for outright attributions of understanding is determined contextually. The explication has descriptive as well as normative facets and allows for the possibility of understanding by means of non-explanatory theories. (shrink)

While social epistemologists have recently begun addressing questions about whether groups can possess beliefs or knowledge, little has yet been said about whether groups can properly be said to possess understanding. Here I want to make some progress on this question by considering two possible accounts of group understanding, modeled on accounts of group belief and knowledge: a deflationary account, according to which a group understands just in case most or all of its members understand, and an inflationary account, according (...) to which a group’s understanding does not depend solely on whether its members understand. I argue that both accounts face problems. The deflationary account has two such problems: aggregation problems that are familiar from discussions of group belief, and the problem of different bases, wherein members possess understanding for different but consistent reasons. The inflationary account faces what I call the problem of distributed grasping: while it is widely accepted that understanding requires a kind of “grasping”, it is hard to make sense of how this requirement could be met at the group level while not necessarily being met by any individual member. Despite its problems, I make a case for the inflationary account. This will require addressing the problem of distributed grasping: to do this, I propose a different way of thinking about the grasping relation at the group level, such that it is constituted by a dependency relationship between members. (shrink)

The lack of knowledge—as Timothy Williamson (2000) famously maintains—is ignorance. Radical sceptical arguments, at least in the tradition of Descartes, threaten universal ignorance. They do so by attempting to establish that we lack any knowledge, even if we can retain other kinds of epistemic standings, like epistemically justified belief. If understanding is a species of knowledge, then radical sceptical arguments threaten to rob us categorically of knowledge and understanding in one fell swoop by implying universal ignorance. If, however, understanding is (...) not a species of knowledge, then three questions arise: (i) is ignorance the lack of understanding, even if understanding is not a species of knowledge? (ii) If not, what kind of state of intellectual impoverishment best describes a lack of understanding? (iii) What would a radical sceptical argument look like that threatened that kind of intellectual impoverishment, even if not threatening ignorance? This paper answers each of these questions in turn. I conclude by showing how the answers developed to (i-iii) interface in an interesting way with Virtue Perspectivism as an anti-sceptical strategy. (shrink)

To understand something involves some sort of commitment to a set of propositions comprising an account of the understood phenomenon. Some take this commitment to be a species of belief; others, such as Elgin and I, take it to be a kind of cognitive policy. This paper takes a step back from debates about the nature of understanding and asks when this commitment involved in understanding is epistemically appropriate, or ‘acceptable’ in Elgin’s terminology. In particular, appealing to lessons from the (...) lottery and preface paradoxes, it is argued that this type of commitment is sometimes acceptable even when it would be rational to assign arbitrarily low probabilities to the relevant propositions. This strongly suggests that the relevant type of commitment is sometimes acceptable in the absence of epistemic justification for belief, which in turn implies that understanding does not require justification in the traditional sense. The paper goes on to develop a new probabilistic model of acceptability, based on the idea that the maximally informative accounts of the understood phenomenon should be optimally probable. Interestingly, this probabilistic model ends up being similar in important ways to Elgin’s proposal to analyze the acceptability of such commitments in terms of ‘reflective equilibrium’. (shrink)

Le déficit d’explicabilité des techniques d’apprentissage machine (AM) pose des problèmes opérationnels, juridiques et éthiques. Un des principaux objectifs de notre projet est de fournir des explications éthiques des sorties générées par une application fondée sur de l’AM, considérée comme une boîte noire. La première étape de ce projet, présentée dans cet article, consiste à montrer que la validation de ces boîtes noires diffère épistémologiquement de celle mise en place dans le cadre d’une modélisation mathématique et causale d’un phénomène physique. (...) La différence majeure est qu’une méthode d’AM ne prétend pas représenter une causalité entre les paramètres d’entrées, qui peuvent être de plus de haute dimensionnalité, et ceux de sortie. Nous montrons dans cet article l’intérêt de mettre en œuvre les distinctions épistémologiques entre les différentes fonctions épistémiques d’un modèle, d’une part, et entre la fonction épistémique et l’usage d’un modèle, d’autre part. Enfin, la dernière partie de cet article présente nos travaux en cours sur l’évaluation d’une explication, qui peut être plus persuasive qu’informative, ce qui peut ainsi causer des problèmes d’ordre éthique. (shrink)

In epistemology and philosophy of science, there has been substantial debate about truth’s relation to understanding. “Non-factivists” hold that radical departures from the truth are not always barriers to understanding; “quasi-factivists” demur. The most discussed example concerns scientists’ use of idealizations in certain derivations of the ideal gas law from statistical mechanics. Yet, these discussions have suffered from confusions about the relevant science, as well as conceptual confusions. Addressing this example, we shall argue that the ideal gas law is best (...) interpreted as favoring non-factivism about understanding, but only after delving a bit deeper into the statistical mechanics that has informed these arguments and stating more precisely what non-factivism entails. Along the way, we indicate where earlier discussions have gone astray, and highlight how a naturalistic approach furnishes more nuanced normative theses about the interaction of rationality, understanding, and epistemic value. (shrink)

In this paper I elucidate various ways in which understanding can be seen as an excellence of the mind or intellectual virtue. Along the way, I take up the neglected issue of what it might mean to be an “understanding person”—by which I mean not a person who understands a number of things about the natural world, but a person who steers clear of things like judgmentalism in her evaluation of other people, and thus is better able to take up (...) different perspectives and view them with a sympathetic eye. Being an understanding person in this sense seems to be a character-level virtue that interestingly combines moral and epistemic elements; it also seems to be a virtue particularly needed in our age of deep political division, where it is commonly said that failures of mutual understanding are partly to blame for this problem. (shrink)

What is human understanding and why should we care about it? I propose a method of philosophical investigation called ‘function-first epistemology’ and use this method to investigate the nature and value of understanding-why. I argue that the concept of understanding-why serves the practical function of identifying good explainers, which is an important role in the general economy of our concepts. This hypothesis sheds light on a variety of issues in the epistemology of understanding including the role of explanation, the relationship (...) between understanding-why and knowledge, and the value of understanding-why. I conclude that understanding-why is valuable and yet knowledge plays more important roles in our epistemic life. (shrink)

In this paper, I distinguish between two senses of “understanding”: understanding as an epistemic good and understanding as a character trait or a distinctive power of the mind. I argue that understanding as a character trait or a distinctive power of the mind is an intellectual virtue while understanding as an epistemic good is not. Finally, I show how the distinction can help us better appreciate Aristotle’s account of intellectual virtue.

I develop a theory of action inspired by a Heideggerian conception of concern, in particular for phenomenologically-inspired Embodied Cognition (Noë 2004; Wheeler 2008; Rietveld 2008; Chemero 2009; Rietveld and Kiverstein 2014). I proceed in three steps. First, I provide an analysis that identifies four central aspects of action and show that phenomenologically-inspired Embodied Cognition does not adequately account for them. Second, I provide a descriptive phenomenological analysis of everyday action and show that concern is the best candidate for an explanation (...) of action. Third, I show that concern, understood as the integration of affect and embodied understanding, allows us to explain the different aspects of action sufficiently. (shrink)

This paper written as a dialogue between two interlocutors, Julie and a Student, deals with Understanding and its role in the social sciences. The fictional dialogue takes place in Hannover, Germany, and the interlocutors are exchanging arguments about Verstehen and how it should be conceptualized in the philosophy of the social sciences. A range of different approaches is discussed and a naturalistic strategy emerges as a defensible alternative.

In this note I defend nonreductionism about understanding by arguing that knowledge is neither necessary nor sufficient for understanding. To do so, I examine Paulina Sliwa’s recent (Sliwa 2015, 2017) defence of knowledge-based Reductionism (Reductionism for short). Sliwa claims that one understands why p if and only if one has a sufficient amount of knowledge why p. Sliwa also contends that Reductionism is supported by intuitive verdicts about our uses of ‘understanding why’ and ‘knowing why’. In reply, I first argue (...) that Sliwa’s Reductionism leads to a vicious infinite regress. Secondly, I defuse the motivation in favour of Reductionism by showing how the linguistic data can be accommodated within a Nonreductionist framework. (shrink)

In this paper I defend a unified approach to knowledge and understanding. Both are achievements due to cognitive abilities or skills. The difference between them is a difference of aspects. Knowledge emphasizes the successful aspect of an achievement and the exclusion of epistemic luck, whereas understanding emphasizes the agent's contribution in bringing about an achievement through the exercise of one's cognitive skills. Knowledge and understanding cannot be separated. I argue against the claim that understanding is distinct from knowledge because the (...) former is compatible with environmental luck. Achievements rule out environmental luck because abilities can be exercised only in their proper environment. I also reject the intellectualist claim that understanding requires the ability to explain what one intends to understand. The understanding of an item is reflected in our ability to solve cognitive tasks using that item. The more tasks one can deal with by using an item, the deeper is one’s understanding of that item. Being able to explain why a claim holds is not necessary for possessing understanding, even though it may be necessary for accomplishing some very specific tasks. Neither understanding nor knowledge require any kind of second-order cognition by default. (shrink)