There are three main accounts of scientific progress: 1) the epistemic account, according to which an episode in science constitutes progress when there is an increase in knowledge; 2) the semantic account, according to which progress is made when the number of truths increases; 3) the problem-solving account, according to which progress is made when the number of problems that we are able to solve increases. Each of these accounts has received several criticisms in the last decades. Nevertheless, some authors (...) think that the epistemic account is to be preferred if one takes a realist stance. Recently, Dellsén proposed the noetic account, according to which an episode in science constitutes progress when scientists achieve increased understanding of a phenomenon. Dellsén claims that the noetic account is a more adequate realist account of scientific progress than the epistemic account. This paper aims precisely at assessing whether the noetic account is a more adequate realist account of progress than the epistemic account. (shrink)

We might suppose it is not only instrumentally valuable for beliefs to be true, but that it is intrinsically valuable – truth makes a non-derivative, positive contribution to a belief's overall value. Some intrinsic goods are better than others, though, and this article considers the question of how good truth is, compared to other intrinsic goods. I argue that truth is the worst of all intrinsic goods; every other intrinsic good is better than it. I also suggest the best explanation (...) for truth's inferiority is that it is not really an intrinsic good at all. It is intrinsically neutral. (shrink)

The Credit Theory of Knowledge (CTK)—as expressed by such figures as John Greco, Wayne Riggs, and Ernest Sosa—holds that knowing that p implies deserving epistemic credit for truly believing that p . Opponents have presented three sorts of counterexamples to CTK: S might know that p without deserving credit in cases of (1) innate knowledge (Lackey, Kvanvig); (2) testimonial knowledge (Lackey); or (3) perceptual knowledge (Pritchard). The arguments of Lackey, Kvanvig and Pritchard, however, are effective only in so far as (...) one is willing to accept a set of controversial background assumptions (for instance, that innate knowledge exists or that doxastic voluntarism is wrong). In this paper I mount a fourth argument against CTK, that doesn’t rest on any such controversial premise, and therefore should convince a much wider audience. In particular, I show that in cases of extended cognition (very broadly conceived), the most salient feature explaining S ’s believing the truth regarding p may well be external to S , that is, it might be a feature of S ’s (non-human, artifactual) environment. If so, the cognitive achievement of knowing that p is not (or only marginally) creditable to S , and hence, CTK is false. (shrink)

What exactly do we need in order to enjoy the cognitive benefit that is supposed to be provided by an explanation? Some philosophers :15–37, 2012, Episteme 10:1–17, 2013, Eur J Philos Sci 5:377–385, 2015, Understanding, explanation, and scientific knowledge, Cambridge University Press, Cambridge, 2017) would say that all that we need is to know the explanation. Others :1–26, 2012; Strevens in Stud Hist Philos Sci Part A 44:510–515, 2013) would say that achieving understanding with the help of an explanation requires (...) more than that, that it requires a grasping or an understanding of the explanation. My aim in this paper is to come up with a new answer to this problem by exploring the shortcomings of the received view of understanding. In my view, besides having testimonial knowledge of an explanation, obtaining explanatory understanding requires full cognitive access to the explanation. (shrink)

Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...) is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

Can one still have understanding in situations that involve the kind of epistemic luck that undermines knowledge? Kvanvig (The value of knowledge and the pursuit of understanding, 2003; in: Haddock A, Miller A, Pritchard D (eds) Epistemic value, 2009a; in: Haddock A, Miller A, Pritchard D (eds) Epistemic value, 2009b) says yes, Prichard (Grazer Philos Stud 77:325–339, 2008; in: O’Hear A (ed) Epistemology, 2009; in: Pritchard D, Millar A, Haddock A (eds) The nature and value of knowledge: three investigations, 2010) (...) say sometimes, DePaul and Grimm (Philos Phenomenol Res 74:498–514, 2007) and Grimm (Br J Philos Sci 57:515–535, 2006; in: Bernecker S, Pritchard D (eds) The Routledge companion to epistemology, 2011), Kvanvig’s critics, say no. The cases put forth by Kvanvig’s critics share a common feature, which seems to drive the intuition that understanding can’t be lucky: the fact that the information that makes up the individual’s understanding comes exclusively from a bad source. I formulate a case that lacks this feature, drawing on the fact that understanding produced from scientific inquiry is often produced by collaboration. I argue that my case provides good evidence that understanding is not a species of knowledge. (shrink)

This paper analyzes two ways idealized biological models produce factive scientific understanding. I then argue that models can provide factive scientific understanding of a phenomenon without providing an accurate representation of the features of their real-world target system. My analysis of these cases also suggests that the debate over scientific realism needs to investigate the factive scientific understanding produced by scientists’ use of idealized models rather than the accuracy of scientific models themselves.

In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI. Intuitively, the purpose of providing an explanation of a model or a decision is to make it understandable to its stakeholders. But without a previous grasp of what it means to say that an agent understands a model or a decision, the explanatory strategies will (...) lack a well-defined goal. Aside from providing a clearer objective for XAI, focusing on understanding also allows us to relax the factivity condition on explanation, which is impossible to fulfill in many machine learning models, and to focus instead on the pragmatic conditions that determine the best fit between a model and the methods and devices deployed to understand it. After an examination of the different types of understanding discussed in the philosophical and psychological literature, I conclude that interpretative or approximation models not only provide the best way to achieve the objectual understanding of a machine learning model, but are also a necessary condition to achieve post hoc interpretability. This conclusion is partly based on the shortcomings of the purely functionalist approach to post hoc interpretability that seems to be predominant in most recent literature. (shrink)

In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI. Intuitively, the purpose of providing an explanation of a model or a decision is to make it understandable to its stakeholders. But without a previous grasp of what it means to say that an agent understands a model or a decision, the explanatory strategies will (...) lack a well-defined goal. Aside from providing a clearer objective for XAI, focusing on understanding also allows us to relax the factivity condition on explanation, which is impossible to fulfill in many machine learning models, and to focus instead on the pragmatic conditions that determine the best fit between a model and the methods and devices deployed to understand it. After an examination of the different types of understanding discussed in the philosophical and psychological literature, I conclude that interpretative or approximation models not only provide the best way to achieve the objectual understanding of a machine learning model, but are also a necessary condition to achieve post hoc interpretability. This conclusion is partly based on the shortcomings of the purely functionalist approach to post hoc interpretability that seems to be predominant in most recent literature. (shrink)

A problem occupying much contemporary epistemology is that of explaining why knowledge is more valuable than mere true belief. This paper provides an overview of this debate, starting with historical figures and early work. The contemporary debate in mainstream epistemology is then surveyed and some recent developments that deserve special attention are highlighted, including mounting doubts about the prospects for virtue epistemology to solve the value problem as well as renewed interest in classical and reliabilist‐externalist responses.

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)

This paper seeks to defend, develop, and revise Edward Craig's “genealogy of knowledge”. The paper first develops the suggestion that Craig's project is naturally thought of as an important instance of “social cognitive ecology”. It then introduces the genealogy of knowledge and some of its main problems and weaknesses, suggesting that these are best taken as challenges for further work rather than as refutations. The central sections of the paper conduct a critical dialogue between Craig's theory and Wittgenstein's claim–familiar from (...) On Certainty–that common-sense certainties cannot be known. It turns out that Craig's distinction between different stages in the development of our concept of knowledge can illuminate and make plausible Wittgenstein's claim. But it can do so only if Craig's traditional commitment to a central “core” in our concept of knowledge is replaced with the idea of knowledge as a family-resemblance concept. (shrink)

That knowledge ascriptions exhibit some form of sensitivity to context is uncontroversial. How best to account for the context-sensitivity at issue, however, is the topic of heated debates. A certain version of nonindexical contextualism seems to be a promising option. Even so, it is incumbent upon any contextualist account to explain in what way and to what extent the epistemic standard operative in a particular context of epistemic evaluation is affected by non-epistemic factors. In this paper, I investigate how non-epistemic (...) factors come into play when knowledge is ascribed. I argue that knowledge ascriptions often serve the purpose of providing actionable information. This, in turn, requires that epistemic interests be balanced against non-epistemic interests. Moreover, it raises the question of whose interests matter, those of the ascriber, the addressee, or the subject of ascription. Eventually, an answer to the question is suggested. (shrink)

Jonathan Kvanvig has argued that “objectual” understanding, i.e. the understanding we have of a large body of information, cannot be reduced to explanatory concepts. In this paper, I show that Kvanvig fails to establish this point, and then propose a framework for reducing objectual understanding to explanatory understanding.

This paper aims to develop a novel account of the normativity of assertion. Its core thesis is that assertion has an etiological epistemic function, viz. to generate knowledge in hearers. In conjunction with a general account of etiological functions and their normative import, it is argued that an assertion is epistemically good if and only if it has the disposition to generate knowledge in hearers. In addition, reason is provided to believe that it makes sense to regulate the practice of (...) assertion by a speaker rule—and, more specifically, by a knowledge rule—as so regulating assertion contributes to ensuring that assertion fulfils its etiological function reliably. (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)

Two of the most orthodox ideas in epistemology are fallibilism and purism. According to the fallibilist, one can know that a particular claim is true even though one’s justification for that claim is less than fully conclusive. According to the purist, knowledge does not depend on practical factors. Fallibilism and purism are widely assumed to be compatible; in fact, the combination of these views has been called the ‘ho-hum,’ obvious, traditional view of knowledge. But I will argue that fallibilism and (...) purism are incompatible. The best explanation for fallibilism requires one to reject purism, while maintaining purism should lead one to reject fallibilism. It follows that the orthodox view of knowledge is deeply mistaken. (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)

A fundamental issue conceived out of the development of epistemology of education has to do with what epistemic state/s education ought to aim for. We offer a solution to this problem, one that deviates from truth, critical thinking, and intellectual virtues which have already been positioned as compelling solutions on their own. Instead, we argue that it is objectual understanding, from the framework of Jonathan Kvanvig, that best suits the place of primacy in epistemic educational aims. The paper’s structure finds (...) order and consistency with how the problem is treated as mentioned above. Section 1 introduces the different types of understanding in epistemology. In section 2, the epistemic value of objectual understanding is established, along with a defense of this epistemic state from the problems encountered for other positions. The second section also includes a discussion of the compatibility of objectual understanding with other epistemic aims of education. In section 3, we proceed to examine the influence of having addressed the epistemic aims debate to the educational concepts of curriculum, teaching, and learning. (shrink)

I introduce and defend an argument against the popular view that anything falling short of knowledge falls short in value. The nature of belief and cognitive psychological research on memory, I claim, support the argument. I also show that not even the most appealing mode of knowledge is distinctively valuable.

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)

Deductive Cogency holds that the set of propositions towards which one has, or is prepared to have, a given type of propositional attitude should be consistent and closed under logical consequence. While there are many propositional attitudes that are not subject to this requirement, e.g. hoping and imagining, it is at least prima facie plausible that Deductive Cogency applies to the doxastic attitude involved in propositional knowledge, viz. belief. However, this thought is undermined by the well-known preface paradox, leading a (...) number of philosophers to conclude that Deductive Cogency has at best a very limited role to play in our epistemic lives. I argue here that Deductive Cogency is still an important epistemic requirement, albeit not as a requirement on belief. Instead, building on a distinction between belief and acceptance introduced by Jonathan Cohen and recent developments in the epistemology of understanding, I propose that Deductive Cogency applies to the attitude of treating propositions as given in the context of attempting to understand a given phenomenon. I then argue that this simultaneously accounts for the plausibility of the considerations in favor of Deductive Cogency and avoids the problematic consequences of the preface paradox. (shrink)

Our curiosity has us interested in finding out the truth. Knowing the fact of the matter fulfills the interest. This fulfillment is something satisfying about knowledge. Additionally, knowledge is a good way for a person to relate to a proposition. Knowing is good because of what knowledge is. In other words, knowledge is intrinsically good. The credibility of these assessments calls for some explanation. A traditional view is that knowledge is justified true belief with no Gettier accidents. This conception is (...) particularly helpful in accounting for the assessments of knowledge. Features of the relation of a mind to a known proposition that are articulated in the traditional view make the relation satisfying and attractive. What is explicit in the traditional view renders these assets of knowledge readily understandable. The view explains the assets better than do alternative conceptions of knowledge. (shrink)

This article brings together two sets of insights about deliberative democracy and uses them to develop a novel epistemic justification for the importance of testimony. Some democratic theorists have argued persuasively that a deliberative process limited to formal argumentation is exclusionary and thus undermines democratic legitimacy; they have made a compelling case for testimony on grounds of democratic inclusion. Others have made the case that deliberation has important epistemic benefits. Those theorists emphasize the give and take of reasons as a (...) means to arrive at well-informed collective decisions. The author’s central claim is that there is an important epistemic value to the inclusion of testimony. It can introduce new information into the deliberative process. It can enable deliberators to grasp connections between the particular and the general. And it can invite them to imaginatively engage with the experiences of others. These epistemic benefits provide a new set of reasons for including testimony in democratic deliberation. (shrink)

We challenge a line of thinking at the fore of recent work on epistemic value: the line (suggested by Kvanvig in The value of knowledge and the pursuit of understanding, 2003 and others) that if the value of knowledge is “swamped” by the value of mere true belief, then we have good reason to doubt its theoretical importance in epistemology. We offer a value-driven argument for the theoretical importance of knowledge—one that stands even if the value of knowledge is “swamped” (...) by the value of true belief. Specifically, we contend that even if knowledge itself has no special epistemic value, its relationship to other items of value—cognitive abilities—gives ample reason to locate the concept at the very core of epistemology. (shrink)

Is art epistemically valuable? Catherine Z. Elgin answers this question in the affirmative. She argues for the epistemic value of art on the basis of her innovative epistemological theory, in which the focus is shifted from knowledge and truth to a non-factive account of understanding. After an exposition and critique of her view, as she develops it in her most recent book “True Enough” (MIT-Press, 2017), I will build on some of her ideas in order to strengthen her account.

Philosophy Compass, Volume 17, Issue 6, June 2022.

Political philosophers have been concerned for some time with the epistemic caliber of the general public, qua the body that is, ultimately, tasked with political decision-making in democratic societies. Unfortunately, the empirical data paints a pretty dismal picture here, indicating that the public tends to be largely ignorant on the issues relevant to governance. To make matters worse, social psychological research on how ignorance tends to breed overconfidence gives us reason to believe that the public will not only lack knowledge (...) on the relevant issues, but also wisdom, in the Socratic sense of an awareness of your ignorance. It might be thought that an obvious remedy would be to increase the knowledge and wisdom of the public. However, as far as sound political decision-making and action is concerned, there is nothing particularly valuable about knowledge or wisdom per se—irrespective of what account of wisdom available in the literature we opt for. In fact, it might just be that what the public needs is nothing but the most basic epistemic good: true belief. (shrink)

In this chapter I sympathetically consider the idea that skepticism is an epistemic virtue. I argue that this depends on whether skepticism is admirable, and articulate three defenses of skepticism as admirable: a Pyrrhonian defense (on which skepticism leads to tranquility), a Cartesian defense (on which skepticism is prophylactic against error), and a liberal defense (on which skepticism counteracts dogmatism and closed-mindedness). I give the liberal defense the most attention: I distinguish skepticism from several species of dogmatism that are sometimes (...) called “skeptical” (e.g. that of “climate change skeptics”), and associate skepticism with political moderation and intellectual independence. (shrink)

The value of knowledge has always been a central topic within epistemology. Going all the way back to Plato’s Meno, philosophers have asked, why is knowledge more valuable than mere true belief? Interest in this question has grown in recent years, with theorists proposing a range of answers. But some reject the premise of the question and claim that the value of knowledge is ‘swamped’ by the value of true belief. And others argue that statuses other than knowledge, such as (...) justification or understanding, are distinctively valuable. We will call the general question of why knowledge is valuable the value problem. (shrink)

The value of knowledge has always been a central topic within epistemology. Going all the way back to Plato’s Meno, philosophers have asked, why is knowledge more valuable than mere true belief? Interest in this question has grown in recent years, with theorists proposing a range of answers. But some reject the premise of the question and claim that the value of knowledge is ‘swamped’ by the value of true belief. And others argue that statuses other than knowledge, such as (...) justification or understanding, are distinctively valuable. We will call the general question of why knowledge is valuable the value problem. (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)

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.

In this talk I present the main results from Anta (2021), namely, that the theoretical division between Boltzmannian and Gibbsian statistical mechanics should be understood as a separation in the epistemic capabilities of this physical discipline. In particular, while from the Boltzmannian framework one can generate powerful explanations of thermal processes by appealing to their microdynamics, from the Gibbsian framework one can predict observable values in a computationally effective way. Finally, I argue that this statistical mechanical schism contradicts the Hempelian (...) (1958) thesis that the predictive power of a scientific theory is directly proportional to its explanatory potential, and vice versa. (shrink)

Many contributors of the debate about knowledge by testimony concentrate on the problem of justification. In my paper I will stress a different point – the concept of testimony itself. As a starting point I will use the definitional proposal of Jennifer Lackey. She holds that the concept of testimony should be regarded as entailing two aspects – one corresponding to the speaker, the other one to the hearer. I will adopt the assumption that we need to deal with both (...) aspects. Nevertheless, I will show that her concept – which suggests regarding testimony as an act of communication conveying information – is too broad and, therefore, I will end up with a different twofold definition. (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)