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)

Explaining phenomena is a primary goal of science. Consequently, it is unsurprising that gaining a proper understanding of the nature of explanation is an important goal of science education. In order to properly understand explanation, however, it is not enough to simply consider theories of the nature of explanation. Properly understanding explanation requires grasping the relation between explanation and understanding, as well as how explanations can lead to scientific knowledge. This article examines the nature of explanation, its relation to understanding, (...) and how explanations are used to generate scientific knowledge via inferences to the best explanation. Studying these features and applications of explanation not only provides insight into a concept that is important for science education in its own right, but also sheds light on an aspect of recent debates concerning the so-called consensus view of nature of science (NOS). Once the relation between explanation, understanding, and knowledge is clear, it becomes apparent that science is unified in important ways. Seeing this unification provides some support for thinking that there are general features of NOS of the sort proposed by the consensus view and that teaching about these general features of NOS should be a goal of science education. (shrink)

Life is a group project. It takes a village. The same is true of our intellectual lives. Since we are finite cognitive creatures with limited time and resources, any healthy intellectual life requires that we rely quite heavily on others. For nearly any question you want to investigate, there is someone who is in a better epistemic position than you are to determine the answer. For most people, their expertise does not extend far beyond their own personal lives, and even (...) here we can sometimes find others who are more reliable. Without relying on them we would know very little about the world. Since others are typically better positioned to determine the answers to the questions we have, it should make us wonder why we should bother to try and figure out much of anything at all for ourselves. After all, when trying to find an answer to a question, we should take the best route to the answer, and the most reliable route to the answer to most questions is to rely on the minds of others. At the same time, there is something defective about an intellectual life that outsources nearly all of its intellectual projects. That is, it seems that individuals ought to think for themselves, at least about some issues and at least some of the time. The puzzle is in determining why it is epistemically valuable to think for yourself, since doing so will almost always not be the best available route to the answer of your question. In this paper, I will first clarify our central question and sharpen this puzzle regarding epistemic autonomy. Having done so, I will argue that autonomous deliberation can be epistemically valuable to inquirers both when it is successful, as well as when it is unsuccessful. I conclude by gesturing at how these considerations point us toward an account of epistemic autonomy as an intellectual virtue. (shrink)

Artificial intelligent (AI) systems that perform image classification tasks are being used to great success in many application contexts. However, many of these systems are opaque, even to experts. This lack of understanding can be problematic for ethical, legal, or practical reasons. The research field Explainable AI (XAI) has therefore developed several approaches to explain image classifiers. The hope is to bring about understanding, e.g., regarding why certain images are classified as belonging to a particular target class. Most of these (...) approaches use visual explanations. Drawing on Elgin’s work (True enough. MIT Press, Cambridge, 2017), I argue that analyzing what those explanations exemplify can help to assess their suitability for producing understanding. More specifically, I suggest to distinguish between two forms of examples according to their suitability for producing understanding. I call these forms samples and exemplars, respectively. Samples are prone to misinterpretation and thus carry the risk of leading to misunderstanding. Exemplars, by contrast, are intentionally designed or chosen to meet contextual requirements and to mitigate the risk of misinterpretation. They are thus preferable for bringing about understanding. By reviewing several XAI approaches directed at image classifiers, I show that most of them explain with samples. If my analysis is correct, it will be beneficial if such explainability methods use explanations that qualify as exemplars. (shrink)

Testimony spreads information. It is also commonly agreed that it can transfer knowledge. Whether it can work as an epistemic source of understanding is a matter of dispute. However, testimony certainly plays a pivotal role in the proliferation of understanding in the epistemic community. But how exactly do we learn, and how do we make advancements in understanding on the basis of one another’s words? And what can we do to maximize the probability that the process of acquiring understanding from (...) one another succeeds? These are very important questions in our current epistemological landscape, especially in light of the attention that has been paid to understanding as an epistemic achievement of purely epistemic value. Somewhat surprisingly, the recent literature in social epistemology does not offer much on the topic. The overarching aim of this paper is to provide a tentative model of understanding that goes in-depth enough to safely address the question of how understanding and testimony are related to one another. The hope is to contribute, in some measure, to the effort to understand understanding, and to explain two facts about our epistemic practices: the fact that knowledge and understanding relate differently to testimony, and the fact that some pieces of testimonial information are better than others for the sake of providing one with understanding and of yielding advancements in one’s epistemic standing. (shrink)

It is widely acknowledged in the literature in social epistemology that knowledge has a social dimension: we are epistemically dependent upon one another for most of what we know. Our knowledge can be, and very often is, grounded on the epistemic achievement of somebody else. But what about epistemic aims other than knowledge? What about understanding? Prominent authors argue that understanding is not social in the same way in which knowledge is. Others can put us in the position to understand, (...) but when we understand something, this accomplishment is to be credited mainly if not entirely to us, as it is due to the successful exercise of our own cognitive abilities. In this paper, I show that the social dimension of understanding closely resembles the social dimension of knowledge. I distinguish between three different ways in which a subject can depend upon another subject for (either the acquisition or the possession of) a certain epistemic good. I then argue that all these kinds of epistemic dependence apply to knowledge and understanding alike. If I am right, understanding is not (always) an achievement to be (mainly) credited to the single epistemic agent who understands. (shrink)

Duncan Pritchard argues that a feature that sets understanding-why apart from knowledge-why is that whereas (I) understanding-why is a kind of cognitive achievement in a strong sense, (II) knowledge-why is not such a kind. I argue that (I) is false and that (II) is true. (I) is false because understanding-why featuring rudimentary explanations and understanding-why concerning very simple causal connections are not cognitive achievements in a strong sense. Knowledge-why is not a kind of cognitive achievement in a strong sense for (...) the same reason knowledge-that is not. The latter thesis requires showing that having (p because q) information is not equivalent to having information about facts or principles that establish the explanatory connections between the phenomena in question. I make a positive case for this claim and defend it against objections. Based on this argument, I identify an alternative feature that sets understanding-why apart from knowledge-why: The minimal condition for understanding-why and knowledge-why with respect to their contents is not identical. Knowing why p merely requires information that some explanatorily relevant dependency obtains. Understanding why p additionally requires information about facts or principles that establish the explanatory connections between the phenomena in question. (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)

Open-mindedness is an under-explored topic in virtue epistemology, despite its assumed importance for the field. Questions about it abound and need to be answered. For example, what sort of intellectual activities are central to it? Can one be open-minded about one's firmly held beliefs? Why should we strive to be open-minded? This paper aims to shed light on these and other pertinent issues. In particular, it proposes a view that construes open-mindedness as engagement, that is, a willingness to entertain novel (...) ideas in one's cognitive space and to accord them serious consideration. (shrink)

One of the key tenets of Linda Zagzebski’s book " Epistemic Authority" is the Preemption Thesis. It says that, when an agent learns that an epistemic authority believes that p, the rational response for her is to adopt that belief and to replace all of her previous reasons relevant to whether p by the reason that the authority believes that p. I argue that such a “Hobbesian approach” to epistemic authority yields problematic results. This becomes especially virulent when we apply (...) Preemption to cases in which the agent and the authority share their belief, maybe even for the same reasons, or in which both have either a positive or a negative graded doxastic attitude toward a given proposition. As an alternative I propose a “Socratic account”, according to which the authority will not only motivate us to adopt her belief, but also provide us with higher-order reasons for re-assigning our own considerations their proper place in the web of reasons for and against the view in question. (shrink)

Understanding has received growing interest from epistemologists in recent years, but no consensus regarding its epistemic properties has yet been reached. This paper extracts, but also rejects, candidates of epistemic properties for construing an epistemological model of understanding from the writings of epistemologists participating in the current discussion surrounding that state. On the basis of these results, a suggestion is put forward according to which understanding is a non-basic epistemic state of warrant rather than knowledge. It is argued that this (...) move provides a satisfactory conciliatory answer to the central question whether understanding is a factive epistemic state. Some differences between understanding and knowledge are recorded along the way: for instance, that in contrast to knowledge, understanding does not require belief and that, even though neither knowledge nor understanding iterates, so that a subject can both know without knowing that she knows, as well as understanding without understanding that she understands, the reasons for the failure is different. (shrink)

In the current discussion on epistemic value, several philosophers argue that understanding enjoys higher epistemological significance and epistemic value than knowledge—the epistemic state the epistemological tradition has been preoccupied with. By noting a tension between the necessary conditions for understanding in the perhaps most prominent of these philosophers, Jonathan Kvanvig, this paper disputes the higher epistemological relevance of understanding. At the end, on the basis of the results of the previous sections, some alternative comparative contrasts between knowledge and understanding are (...) briefly explored, including one in which an analogue to the KK-principle for knowledge, the “UU-principle”, does not hold for a different reason than that for which the former principle fails. (shrink)

The main focus of acquaintance theorists has been the nature and mechanism of perceptual acquaintance with particulars. Generally, one’s view of perceptual acquaintance with general features has taken its bearings from one’s view of perceptual acquaintance with particulars. This has led to the glossing over of significant differences in the mechanisms of perceptual acquaintance with particulars and with general features. The difference in mechanisms suggests a difference in the sort of epistemic state at play in the two kinds of cases. (...) While the existence of such a difference might initially seem to spell trouble for acquaintance theorists, it can be made palatable by being traced back to the distinct basic functions concepts of particulars and of general features serve in thought. (shrink)

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)

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.

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)

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)

What does it take to understand a phenomenon ideally, or to the highest conceivable extent? In this paper, we answer this question by arguing for five necessary conditions for ideal understanding: (i) representational accuracy, (ii) intelligibility, (iii) truth, (iv) reasonable endorsement, and (v) fitting. Even if one disagrees that there is some form of ideal understanding, these five conditions can be regarded as sufficient conditions for a particularly deep level of understanding. We then argue that grasping, novel predictions, and transparency (...) are not reasonable conditions for ideal understanding. (shrink)

Hot-cold empathy gaps are a pervasive phenomena wherein one’s predictions about others tend to skew ‘in the direction’ of one’s own current visceral states. For instance, when one predicts how hungry someone else is, one’s prediction will tend to reflect one’s own current hunger state. These gaps also obtain intrapersonally, when one attempts to predict what one oneself would do at a different time. In this paper, we do three things: We draw on empirical evidence to argue that so-called hot-cold (...) empathy gaps arise when one projects one’s own current state into a simulation about another. Second, we argue that this process does not typically confer knowledge, even when the predictions it produces happen to be accurate. Third, we suggest that these results can be used to develop a challenge for L.A. Paul's view that authentic action sometimes requires subjective knowledge of one’s own values and how these values relate to relevant outcomes. We then sketch an alternative view of the epistemic grounds of authenticity, one on which authenticity requires a kind of understanding. The relevant form of understanding can be achieved by subjective knowledge but can also be achieved elsewise, such as through testimony from a close friend about what one values. (shrink)

I examine situations in which we say that different subjects have ‘different’, ‘competing’, or ‘conflicting understandings’ of a phenomenon. In order to make sense of such situations, we should turn our attention to an often neglected ambiguity in the word ‘understanding’. Whereas the notion of understanding that is typically discussed in philosophy is, to use Elgin’s terms, tethered to the facts, there is another notion of understanding that is not tethered in the same way. This latter notion is relevant because, (...) typically, talk of two subjects having ‘different’, ‘competing’, or ‘conflicting understandings’ of a phenomenon does not entail any commitment to the proposition that these subjects understand the phenomenon in the tethered sense of the word. This paper aims, first, to analyze the non-tethered notion of understanding, second, to clarify its relationship to the tethered notion, third, to explore what exactly goes on when ‘different’, ‘competing’, or ‘conflicting understandings’ clash and, fourth, to discuss the significance of such situations in our epistemic practices. In particular, I argue for a version of scientific pluralism according to which such situations are important because they help scientific communities achieve their fundamental epistemic goals—most importantly, the goal of understanding the world in the tethered sense. (shrink)

I try to return the focus of the philosophy of history to the nature of understanding, with a particular emphasis on Louis Mink’s project of exploring how historical understanding compares to the understanding we find in the natural sciences. On the whole, I come to a conclusion that Mink almost certainly would not have liked: that the understanding offered by history has a very similar epistemic profile to the understanding offered by the sciences, a similarity that stems from the fact (...) that both are concerned with grasping how the objects of their study are structured, or how the various elements of the things they study depend upon and relate to one another. At the same time, however, I claim that historical inquiry naturally puts us in a position to acquire further epistemic goods, including the old-fashioned epistemic good of wisdom, which is plausibly constituted by knowledge of how to live well. This is something the natural sciences cannot offer, and it is part of the reason why history is such an important form of inquiry. (shrink)

What is it that makes someone wise, or one person wiser than another? I argue that wisdom consists in knowledge of how to live well, and that this knowledge of how to live well is constituted by various further kinds of knowledge. One concern for this view is that knowledge is not needed for wisdom but rather some state short of knowledge, such as having rational or justified beliefs about various topics. Another concern is that the emphasis on knowing how (...) to live well fails to do justice to the ancient tradition of ‘theoretical wisdom’. I address both of these concerns in filling out the account. (shrink)

Over the last several years a number of leading philosophers – including Catherine Elgin, Linda Zagzebski, Jonathan Kvanvig, and Duncan Pritchard – have grown increasingly dissatisfied with the contemporary focus on knowledge in epistemology and have attempted to “recover” the notion of understanding. According to some of these philosophers, in fact, understanding deserves not just to be recovered, but to supplant knowledge as the focus of epistemological inquiry. This entry considers some of the main reasons why philosophers have taken understanding (...) to be more valuable than knowledge, focusing on claims that it is more transparent, that it better reflects or mirrors the world, and that it is a greater intellectual achievement. (shrink)

Literature in epistemology tends to suppose that there are three main types of understanding – propositional, atomistic, and objectual. By showing that all apparent instances of propositional understanding can be more plausibly explained as featuring one of several other epistemic states, this paper argues that talk of propositional understanding is unhelpful and misleading. The upshot is that epistemologists can do without the notion of propositional understanding.

Whereas the progressive nature of science is widely recognised, specifying the standards of scientific progress has been subject to philosophical debate since the enlightenment. Recently, Ilkka Niiniluoto, Alexander Bird, and Finnur Dellsén have revived this debate by setting forward a semantic, epistemic and noetic account of scientific progress respectively. I argue that none of these accounts is satisfactory. The semantic and epistemic accounts might advance necessary conditions for scientific progress, namely an accumulation of true, justified, and non-Gettiered beliefs, but fail (...) to specify sufficient conditions. The noetic account, in contrast, advances sufficient conditions for scientific progress, namely an increase of genuine understanding, but fails to specify the necessary conditions. To remedy these deficits, I advance a hybrid account of scientific progress between the epistemic and noetic accounts, according to which the accumulation of explanatorily or predictively powerful knowledge constitutes scientific progress. In contrast to the epistemic account, my account ensures that only scientifically relevant knowledge constitutes scientific progress, thereby evading the threat of underdemandingness. In contrast to the noetic account, my account does not impose a psychological requirement of grasping the explanatory or predictive power of a scientific development, thereby evading the threat of overdemandingness. A further advantage of my account is that it can preserve plausible features of the noetic account. (shrink)

The initial successes in recent years in harnessing machine learning technologies to improve medical practice and benefit patients have attracted attention in a wide range of healthcare fields. Particularly, it should be achieved by providing automated decision recommendations to the treating clinician. Some hopes placed in such ML-based systems for healthcare, however, seem to be unwarranted, at least partially because of their inherent lack of transparency, although their results seem convincing in accuracy and reliability. Skepticism arises when the physician as (...) the agent responsible for the implementation of diagnosis, therapy, and care is unable to access the generation of findings and recommendations. There is widespread agreement that, generally, a complete traceability is preferable to opaque recommendations; however, there are differences about addressing ML-based systems whose functioning seems to remain opaque to some degree—even if so-called explicable or interpretable systems gain increasing amounts of interest. This essay approaches the epistemic foundations of ML-generated information specifically and medical knowledge generally to advocate differentiations of decision-making situations in clinical contexts regarding their necessary depth of insight into the process of information generation. Empirically accurate or reliable outcomes are sufficient for some decision situations in healthcare, whereas other clinical decisions require extensive insight into ML-generated outcomes because of their inherently normative implications. (shrink)

This paper lays out the epistemology of Maria Montessori . I start with what I call Montessori's ‘interested empiricism’, her empiricist emphasis on the foundational role of the senses combined with her insistence that all cognition is infused with ‘interest’. I then discuss the unconscious. Partly because of her emphasis on early childhood, Montessori puts great emphasis on unconscious cognitive processes and develops a conceptual vocabulary to make sense of the continuity between conscious and unconscious processes. The final sections turn (...) to two brief but important applications of this general epistemic framework, the importance of ‘meditation’ as an epistemic practice and Montessori's accounts of epistemic virtues. (shrink)

Artificial general intelligence is not a new notion, but it has certainly been gaining traction in recent years, and academic as well as industry resources are redirected to research in AGI. The main reason for this is that current AI techniques are limited as they are designed to operate in specific problem-domains, following meticulous preparation. These systems cannot operate in an unknown environment or under conditions of uncertainty, reuse knowledge gained in another problem domain, or autonomously learn and understand the (...) problem-domain. We shall call AI systems capable of such feats artificial general intelligent systems. The three tasks of this paper are to provide a working definition of the term AGI, examine the “missing G”, i.e., the set of abilities that current AI systems lack and whose implementation will result in a basic AGI system, and consider different approaches, including a hybrid one, to a comprehensive solution for an AGI. (shrink)

In recent years, state-of-the-art artificial intelligence systems have started to show signs of what might be seen as human level intelligence. More specifically, large language models such as OpenAI’s GPT-3, and more recently Google’s PaLM and DeepMind’s GATO, are performing amazing feats involving the generation of texts. However, it is acknowledged by many researchers that contemporary language models, and more generally, learning systems, still lack important capabilities, such as understanding, reasoning and the ability to employ knowledge of the world and (...) common sense in order to reach or at least advance toward general intelligence. Some believe that scaling will eventually bring about these capabilities; others think that a different architecture is needed. In this paper, we focus on the latter, with the purpose of integrating a theoretical–philosophical conception of understanding as knowledge of dependence relations, with the high-level requirements and engineering design of a robust AI system, which integrates machine learning and symbolic components. (shrink)

COVID-19 has substantially affected our lives during 2020. Since its beginning, several epidemiological models have been developed to investigate the specific dynamics of the disease. Early COVID-19 epidemiological models were purely statistical, based on a curve-fitting approach, and did not include causal knowledge about the disease. Yet, these models had predictive capacity; thus they were used to ground important political decisions, in virtue of the understanding of the dynamics of the pandemic that they offered. This raises a philosophical question about (...) how purely statistical models can yield understanding, and if so, what the relationship between prediction and understanding in these models is. Drawing on the model that was developed by the Institute of Health Metrics and Evaluation, we argue that early epidemiological models yielded a modality of understanding that we call descriptive understanding, which contrasts with the so-called explanatory understanding which is assumed to be the main form of scientific understanding. We spell out the exact details of how descriptive understanding works, and efficiently yields understanding of the phenomena. Finally, we vindicate the necessity of studying other modalities of understanding that go beyond the conventionally assumed explanatory understanding. (shrink)

This paper aims to clarify the nature of understanding in medicine. The first part describes in more detail what it means to understand something and links a type of understanding (i.e., objectual understanding) to explanations. The second part proceeds to investigate what objectual understanding of a disease (i.e., biomedical understanding) requires by considering the case of scurvy from the history of medi- cine. The main hypothesis is that grasping a mechanistic explanation of a condi- tion is necessary for a biomedical (...) understanding of that condition. The third part of the paper argues that biomedical understanding is necessary, but not sufficient for understanding in a clinical context (i.e., clinical understanding). The hypothe- sis is that clinical understanding combines biomedical understanding of a disease or pathological condition with understanding illness, which involves some degree of personal understanding of the patient. It is argued that, in many cases, clinical understanding necessitates adopting a particular second-personal stance and using cognitive resources in addition to those involved in biomedical understanding. (shrink)

In this paper, I offer a theory of autonomous agency that relies on the re-sources of a strongly cognitivist theory of intention and intentional action. On the proposed account, intentional action is a graded notion that is ex-plained via the agent’s degree of practical knowledge. In turn, autonomous agency is also a graded notion that is explained via the agent’s degree of practical understanding. The resulting theory can synthesize insights from both the hierarchical and the cognitivist theories of autonomy with (...) at least some aspects of the reason-responsiveness theories. Moreover, by treating practical knowledge and practical understanding as gradable no-tions, the paper offers a strategy to respond to enduring objections against cognitivism about intention, control, and autonomy. (shrink)

Epistemology is normative. This normativity has been widely recognized for a long time, but it has recently come into direct focus as a central topic of discussion. The result is a recent and large turn towards focusing on epistemic value. I’ll start by describing some of the history and motivations of this recent value turn. Then I’ll categorize the work within the value turn into three strands, and I’ll discuss the main writings in those strands. Finally, I’ll explore some themes (...) that are ripe for further development. (shrink)

This paper challenges the appeal to theory virtues in theory choice as well as the appeal to the intellectual and moral virtues of an agent as determining unique choices between empirically equivalent theories. After arguing that theoretical virtues do not determine the choice of one theory at the expense of another theory, I argue that nor does the appeal to intellectual and moral virtues single out one agent, who defends a particular theory, and exclude another agent defending an alternative theory. (...) I analyse Duhem’s concept of good sense and its recent interpretation in terms of virtue epistemology. I argue that the virtue epistemological interpretation does not show how good sense leads to conclusive choices and scientific progress. (shrink)

This thesis is an exercise in comparative metaontology. I am centrally concerned with how one might choose between competing metaontological theories. To make my project tractable, I compare two contemporary metaontological approaches dominant in the literature: neo-Quineanism and neo-Aristotelianism. Peter van Inwagen, a representative of N-Q, claims that ontological inquiry should be conducted in the quantifier-variable idiom of first-order predicate logic; to know what exists, or what a theory says exists, we read our commitments off the regimented sentences that we (...) affirm as true. E.J. Lowe, a representative of N-A objects to N-Q and claims that ontology should be done directly; that it is a mostly a priori activity which is the indispensable intellectual foundation for all rational inquiry. Both metaontological accounts are questionable and there seems to be no decisive way to choose between them. I claim, however, that considerations concerning the explanatory nature of ontology is a key and under-studied factor with respect to ontological method, pointing a way to a possible candidate for metaontological theory choice. I conclude that van Inwagen’s N-Q metaontology is wanting in many respects and further, that he does not provide adequate reasons to dispense with explanation as a feature of ontological inquiry. While explanatory considerations are central to Lowe’s N-A metaontology, I claim that the best that can be hoped for with his particular approach is a form of explanatory antirealism. (shrink)

In science and philosophy, a relatively demanding notion of understanding is of central interest: an epistemic subject understands a subject matter by means of a theory. This notion can be explicated in a way which resembles JTB analyses of knowledge. The explication requires that the theory answers to the facts, that the subject grasps the theory, that she is committed to the theory and that the theory is justified for her. In this paper, we focus on the justification condition and (...) argue that it can be analyzed with reference to the idea of a reflective equilibrium. (shrink)

I explore the extent to which the epistemic state of understanding is transparent to the one who understands. Against several contemporary epistemologists, I argue that it is not transparent in the way that many have claimed, drawing on results from developmental psychology, animal cognition, and other fields.

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.

It is a commonplace in philosophy of action that there is and must be teleologically basic action: something done on an occasion without doing it by means of doing anything else. It is widely believed that basic actions are exercises of skill. As the source of the need for basic action is the structure of practical reasoning, this yields a conception of skill and practical reasoning as complementary but mutually exclusive. On this view, practical reasoning and complex intentional action depend (...) on skill and basic action, but the latter pair are not themselves rationally structured: the movements a basic action comprises are not intentional actions, and they are not structured as means to an end. However, Michael Thompson and Douglas Lavin have argued that action that bears no inner rational structure is not intentional action at all, and that therefore there can be no such thing as basic action. In this paper, I argue that their critique shows that standard conceptions of basic action are indeed untenable, but not that we can do without an alternative. I develop an alternative conception of skill and basic action on which their basicness is not to be equated with simplicity: like deliberation and non-basic action, they are teleologically complex, but their complexity takes a different form. On this view, skill contrasts with deliberation—not because it is not a manifestation of practical reason, but because the two are specifically different manifestations of practical reason. (shrink)

The paper provides a systematic overview of recent debates in epistemology and philosophy of science on the nature of understanding. We explain why philosophers have turned their attention to understanding and discuss conditions for “explanatory” understanding of why something is the case and for “objectual” understanding of a whole subject matter. The most debated conditions for these types of understanding roughly resemble the three traditional conditions for knowledge: truth, justification and belief. We discuss prominent views about how to construe these (...) conditions for understanding, whether understanding indeed requires conditions of all three types and whether additional conditions are needed. (shrink)