Imagination plays a rich epistemic role in our cognitive lives. For example, if I want to learn whether my luggage will fit into the overhead compartment on a plane, I might imagine trying to fit it into the overhead compartment and form a justified belief on the basis of this imagining. But what explains the fact that imagination has the power to justify beliefs, and what is the structure of imaginative justification? In this paper, I answer these questions by (...) arguing that imaginings manifest an epistemic status: they are epistemically evaluable as justified or unjustified. This epistemic status grounds their ability to justify beliefs, and they accrue this status in virtue of being based on evidence. Thus, imaginings are best understood as justified justifiers. I argue for this view by way of showing how it offers a satisfying explanation of certain key features of imaginative justification that would otherwise be puzzling. I also argue that imaginings exhibit a number of markers of the basing relation, which further motivates the view that imaginings can be based on evidence. The arguments in this paper have theoretically fruitful implications not only for the epistemology of imagination, but for accounts of reasoning and epistemic normativity more generally. (shrink)

This paper proposes an extensionalist analysis of computer simulations (CSs). It puts the emphasis not on languages nor on models, but on symbols, on their extensions, and on their various ways of referring. It shows that chains of reference of symbols in CSs are multiple and of different kinds. As they are distinct and diverse, these chains enable different kinds of remoteness of reference and different kinds of validation for CSs. Although some methodological papers have already underlined the role of (...) these various relationships of reference in CSs and of cross-validations, this diversity is still overlooked in the epistemological literature on CSs. As a consequence, a particular outcome of this analytical view is an ability to classify existing epistemological theses on CSs according to what their authors choose to select and put at the forefront: either the extensions of symbols, or the symbol-types, or the symbol-tokens, or the internal denotational hierarchies of the CS or the reference of these hierarchies to external denotational hierarchies. Through the adoption of this extensionalist view, it also becomes possible to explain more precisely the reasons why some complete reduction of CSs to classical epistemic paradigms such as “experiment” or “theoretical argument” remains doubtful. On this last point, in particular, this paper is in agreement with what many epistemologists already have acknowledged. (shrink)

In an attempt to determine the epistemic status of computer simulation results, philosophers of science have recently explored the similarities and differences between computer simulations and experiments. One question that arises is whether and, if so, when, simulation results constitute novel empirical data. It is often supposed that computer simulation results could never be empirical or novel because simulations never interact with their targets, and cannot go beyond their programming. This paper argues against this position (...) by examining whether, and under what conditions, the features of empiricality and novelty could be displayed by computer simulation data. I show that, to the extent that certain familiar measurement results have these features, so can some computer simulation results. (shrink)

The so-called debate between Jürgen Habermas and John Rawls concentrated mainly on the latter’s political liberalism. It dealt with the many aspects of Rawls’s philosophical project. In this article, I focus only on one of them, namely the epistemic or cognitivistic nature of principles of justice. The first part provides an overview of the debate, while the second part aims to show that Habermas has not misinterpreted Rawls’s position. I argue that Habermas rightly considers Rawls’s conception of justice as (...) a moral one. In the last part, I discuss two key questions raised by Habermas. The first concerns the relation between justification and acceptance of the principles of justice. The second concerns the relation between two validity terms: truth and reasonableness. (shrink)

The predisposition of the Indispensability Argument to objections, rephrasing and versions associated with the various views in philosophy of mathematics grants it a special status of a “blueprint” type rather than a debatable theme in the philosophy of science. From this point of view, it follows that the Argument has more an epistemic character than ontological.

Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological tools so as to show to what precise extent each author is right when he focuses on some empirical, instrumental or conceptual significance of his model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity, section 2 (...) gives conceptual tools to explain the rationale of the diverse epistemological positions presented in section 1. Finally, we claim that a careful attention to the real multiplicity of denotational powers of symbols at stake and then to the implicit routes of references operated by models and computer simulations is necessary to determine, in each case, the proper epistemic status and credibility of a given model and/or simulation. (shrink)

This paper defends the naïve thesis that the method of experiment has per se an epistemic superiority over the method of computer simulation, a view that has been rejected by some philosophers writing about simulation, and whose grounds have been hard to pin down by its defenders. I further argue that this superiority does not come from the experiment’s object being materially similar to the target in the world that the investigator is trying to learn about, as (...) both sides of dispute over the epistemic superiority thesis have assumed. The superiority depends on features of the question and on a property of natural kinds that has been mistaken for material similarity. Seeing this requires holding other things equal in the comparison of the two methods, thereby exposing that, under the conditions that will be specified, the simulation is necessarily epistemically one step behind the corresponding experiment. Practical constraints like feasibility and morality mean that scientists do not often face an other-things- equal comparison when they choose between experiment and simulation. Nevertheless, I argue, awareness of this superiority and of the general distinction between experiment and simulation is important for maintaining motivation to seek answers to new questions. (shrink)

This paper defends the naïve thesis that the method of experiment has per se an epistemic superiority over the method of computer simulation, a view that has been rejected by some philosophers writing about simulation, and whose grounds have been hard to pin down by its defenders. I further argue that this superiority does not come from the experiment’s object being materially similar to the target in the world that the investigator is trying to learn about, as (...) both sides of dispute over the epistemic superiority thesis have assumed. The superiority depends on features of the question and on a property of natural kinds that has been mistaken for material similarity. Seeing this requires holding other things equal in the comparison of the two methods, thereby exposing that, under the conditions that will be specified, the simulation is necessarily epistemically one step behind the corresponding experiment. Practical constraints like feasibility and morality mean that scientists do not often face an other-things- equal comparison when they choose between experiment and simulation. Nevertheless, I argue, awareness of this superiority and of the general distinction between experiment and simulation is important for maintaining motivation to seek answers to new questions. (shrink)

Both the irreducible complexity of biological phenomena and the aim of a universalized biology (life-as-it-could-be) have lead to a deep methodological shift in the study of life; represented by the appearance of ALife, with its claim that computational modelling is the main tool for studying the general principles of biological phenomenology. However this methodological shift implies important questions concerning the aesthetic, engineering and specially the epistemological status of computational models in scientific research: halfway between the well established categories of (...) theory and experiment. ALife models become powerful epistemic artefacts allowing the simulation of emergent phenomena, the interaction between different levels of organization and the integration of different causal factors in the very same manipulable object. The use of computational models in ALife can be classified in four main categories depending on their position between theoretical and empirical practices: generic, conceptual, functional and mechanistic. For each of these categories we analyse their epistemic value and select paradigmatic examples that illustrate how ALife models can be fruitfully inserted in the study of life. (shrink)

How should we understand validity? A standard way to characterize validity is in terms of the preservation of truth (or truth in a model). But there are several problems facing such characterizations. An alternative approach is to characterize validity epistemically, for instance in terms of the preservation of an epistemic status. In this paper, I raise a problem for such views. First, I argue that if the relevant epistemic status is factive, such as being in a (...) position to know or having conclusive evidence for, then the account runs into trouble if we endorse certain familiar logical principles. Second, I argue that if the relevant epistemic status is non-factive, such as is rationally committed to or has justification for believing, then a similar problem arises if we endorse the logical principles as well as a sufficiently strong epistemic “level-bridging” principle. Finally, I argue that an analogous problem arises for the most natural characterization of validity in terms of rational credence. (shrink)

Delusions are defined as irrational beliefs that compromise good functioning. However, in the empirical literature, delusions have been found to have some psychological benefits. One proposal is that some delusions defuse negative emotions and protect one from low self-esteem by allowing motivational influences on belief formation. In this paper I focus on delusions that have been construed as playing a defensive function (motivated delusions) and argue that some of their psychological benefits can convert into epistemic ones. Notwithstanding their (...) class='Hi'>epistemic costs, motivated delusions also have potential epistemic benefits for agents who have faced adversities, undergone physical or psychological trauma, or are subject to negative emotions and low self-esteem. To account for the epistemic status of motivated delusions, costly and beneficial at the same time, I introduce the notion of epistemic innocence. A delusion is epistemically innocent when adopting it delivers a significant epistemic benefit, and the benefit could not be attained if the delusion were not adopted. The analysis leads to a novel account of the status of delusions by inviting a reflection on the relationship between psychological and epistemic benefits. (shrink)

The account of natural kinds as stable property clusters is premised on the possibility of separating the epistemic value of natural kinds from their underlying metaphysics. On that account, the co-instantiation of any sub-cluster of the properties associated with a given natural kind raises the probability of the co-instantiation of the rest, and this clustering of property instantiation is invariant under all relevant counterfactual perturbations. We argue that it is not possible to evaluate the stability of a cluster of (...) properties without taking stock of the metaphysical picture used to account for that stability. Thus, even on the stable property cluster account, the epistemic value of natural kinds remains partly grounded in their metaphysical status. (shrink)

Historically, the hypothesis that our world is a computer simulation has struck many as just another improbable-but-possible “skeptical hypothesis” about the nature of reality. Recently, however, the simulation hypothesis has received significant attention from philosophers, physicists, and the popular press. This is due to the discovery of an epistemic dependency: If we believe that our civilization will one day run many simulations concerning its ancestry, then we should believe that we are probably in an ancestor simulation (...) right now. This essay examines a troubling but underexplored feature of the ancestor-simulation hypothesis: the termination risk posed by both ancestor-simulation technology and experimental probes into whether our world is an ancestor simulation. This essay evaluates the termination risk by using extrapolations from current computing practices and simulation technology. The conclusions, while provisional, have great implications for debates concerning the fundamental nature of reality and the safety of contemporary physics. (shrink)

According to a traditional picture, perception and belief have starkly different epistemic roles. Beliefs have epistemic statuses as justified or unjustified, depending on how they are formed and maintained. In contrast, perceptions are “unjustified justifiers.” Core cognition is a set of mental systems that stand at the border of perception and belief, and has been extensively studied in developmental psychology. Core cognition's borderline states do not fit neatly into the traditional epistemic picture. What is the epistemic (...) role of these states? Focusing on the core object system, the author argues that core object representations have epistemic statuses like beliefs do, despite their many prototypically perceptual features. First, the author argues that it is a sufficient condition on a mental state's having an epistemic status as justified or unjustified that the state is based on reasons. Then the author argues that core object representations are based on reasons, through an examination of both experimental results and key markers of the basing relation. The scope of mental states that are subject to epistemic evaluation as justified or unjustified is not restricted to beliefs. (shrink)

In recent decades, perspectivism has developed into an epistemological research program claiming its independence. This autonomy stems from Perspectivism’s potential ability to resolve the contradictions between realist and constructivist programs. Perspectivism is based on the idea that the object depends on perspective, which constitutes any subjective attempt to cognize it. Perspectivists reconstruct and explain the factors involved in the formation of perspective, identifying the conditionality of epistemic acts, using concepts such as “position”, “point of view”, “view”, “angle”, “horizon”, “focus”, (...) “picture”, “context”, “aspect”, etc. Although these concepts are part of the perspectivist’s toolkit, their meanings and interrelation have so far been taken for granted and have not yet been critically and comprehensively analyzed. The purpose of this article is to take steps toward clarifying the conceptual basis for defending perspectivism as an epistemological program. Once consistently uncovered and correlated in a conceptual model, Perspectivist concepts can be used as a tool for a detailed analysis of theories, positions, and beliefs. The article begins with a preliminary description of the concept of perspectivism and its brief history as an epistemological program. In particular, the first modern attempts to outline perspectivist epistemology are described in the works of F. Kaulbach (1990), W. Stegmaier (2008), and M. Massimi (2017, 2020). The problem of identifying the special a priori status of perspectivist notions as a strategy for justifying the autonomy of Perspectivism is then posed. A method for demonstrating such a status, based on Kant’s transcendentalism and P. Strawson’s descriptive metaphysics, is then suggested. (shrink)

By pooling together exhaustive analyses of certain philosophical paradoxes, we can prove a series of fascinating results regarding philosophical progress, agreement on substantive philosophical claims, knockdown arguments in philosophy, the wisdom of philosophical belief, the epistemic status of metaphysics, and the power of philosophy to refute common sense. As examples, this Element examines the Sorites Paradox, the Liar Paradox, and the Problem of the Many – although many other paradoxes can do the trick too.

People increasingly form beliefs based on information gained from automatically filtered Internet ‎sources such as search engines. However, the workings of such sources are often opaque, preventing ‎subjects from knowing whether the information provided is biased or incomplete. Users’ reliance on ‎Internet technologies whose modes of operation are concealed from them raises serious concerns about ‎the justificatory status of the beliefs they end up forming. Yet it is unclear how to address these concerns ‎within standard theories of knowledge and (...) justification. To shed light on the problem, we introduce a ‎novel conceptual framework that clarifies the relations between justified belief, epistemic responsibility, ‎action, and the technological resources available to a subject. We argue that justified belief is subject to ‎certain epistemic responsibilities that accompany the subject’s particular decision-taking circumstances, ‎and that one typical responsibility is to ascertain, so far as one can, whether the information upon which ‎the judgment will rest is biased or incomplete. What this responsibility comprises is partly determined by ‎the inquiry-enabling technologies available to the subject. We argue that a subject’s beliefs that are ‎formed based on Internet-filtered information are less justified than they would be if she either knew how ‎filtering worked or relied on additional sources, and that the subject may have the epistemic ‎responsibility to take measures to enhance the justificatory status of such beliefs.‎. (shrink)

Our epistemology can shape the way we think about perception and experience. Speaking as an epistemologist, I should say that I don’t necessarily think that this is a good thing. If we think that we need perceptual evidence to have perceptual knowledge or perceptual justification, we will naturally feel some pressure to think of experience as a source of reasons or evidence. In trying to explain how experience can provide us with evidence, we run the risk of either adopting a (...) conception of evidence according to which our evidence isn’t very much like the objects of our beliefs that figure in reasoning (e.g., by identifying our evidence with experiences or sensations) or the risk of accepting a picture of experience according to which our perceptions and perceptual experiences are quite similar to beliefs in terms of their objects and their representational powers. But I think we have good independent reasons to resist identifying our evidence with things that don’t figure in our reasoning as premises and I think we have good independent reason to doubt that experience is sufficiently belief-like to provide us with something premise-like that can figure in reasoning. We should press pause. We shouldn’t let questionable epistemological assumptions tell us how to do philosophy of mind. I don’t think that we have good reason to think that we need the evidence of the senses to explain how perceptual justification or knowledge is possible. Part of my scepticism derives from the fact that I think we can have kinds of knowledge where the relevant knowledge is not evidentially grounded. Part of my scepticism derives from the fact that there don’t seem to be many direct arguments for thinking that justification and knowledge always requires evidential support. In this paper, I shall consider the three arguments I’ve found for thinking that justification and knowledge do always require evidential support and explain why I don’t find them convincing. I think that we can explain perceptual justification, rationality, and defeat without assuming that our experiences provide us with evidence. In the end, I think we can partially vindicate Davidson’s (notorious) suggestion that our beliefs, not experiences, provide us with reasons for forming further beliefs. This idea turns out to be compatible with foundationalism once we understand that foundational status can come from something other than evidential support. (shrink)

In this paper, we argue that computer simulations can provide valuable insights into the performance of voting methods on different collective decision problems. This could improve institutional design, even when there is no general theoretical result to support the optimality of a voting method. To support our claim, we first describe a decision problem that has not received much theoretical attention in the literature. We outline different voting methods to address that collective decision problem. Under certain criteria of assessment akin (...) to extensions of the Condorcet Jury Theorem, we run simulations for the methods using MATLAB, in order to compare their performance under various conditions. We consider and respond to concerns about the use of simulations in the assessment of voting procedures for policymaking. (shrink)

This paper concerns the epistemology of difficult moral cases where the difficulty is not traceable to ignorance about non-moral matters. The paper first argues for a principle concerning the epistemic status of moral beliefs about difficult moral cases. The basic idea behind the principle is that one’s belief about the moral status of a potential action in a difficult moral case is not justified unless one has some appreciation of what the relevant moral considerations are and how (...) they bear on the moral status of the potential action. The paper then argues that this principle has important ramifications for moral epistemology and moral metaphysics. It puts pressure on some views of the justification of moral belief, such as ethical intuitionism and reliabilism. It puts pressure on some antirealist views of moral metaphysics, including simple versions of relativism. It also provides some direct positive support for broadly realist views of morality. (shrink)

In some domains experts perform better than novices, and in other domains experts do not generally perform better than novices. According to empirical studies of expert performance, this is because the former but not the latter domains make available to training practitioners a direct form of learning feedback. Several philosophers resource this empirical literature to cast doubt on the quality of philosophical expertise. They claim that philosophy is like the dubious domains in that it does not make available the good, (...) direct kind of learning feedback, and thus there are empirical grounds for doubting the epistemic quality of philosophical expertise. I examine the empirical studies that are purportedly bad news for professional philosophers. On the basis of that examination, I provide three reasons why the empirical study of non-philosophical expertise does not undermine the status of philosophical expertise. First, the non-philosophical task-types from which the critics generalize are unrepresentative of relevant philosophical task-types. Second, empirical critiques of non-philosophical experts are often made relative to the performance of linear models—a comparison that is inapt in a philosophical context. Third, the critics fail to discuss findings from the empirical study of non-philosophical expertise that have more favorable implications for the epistemic status of philosophical expertise. In addition to discussing implications for philosophical expertise, this article makes progress in the philosophical analysis of the science of expertise and expert development. (shrink)

Cicero’s De divinatione portrays the Stoics as unanimous in advocating both natural and technical divination. I argue that, contrary to this, the earlier leaders of the school like Chrysippus had reasons to consider natural divination to be significantly epistemically inferior to its technical counterpart. The much more favorable treatment of natural divination in De divinatione is likely the result of changes introduced later, probably by Posidonius.

I argue that Bartolomé de las Casas and Juan Ginés de Sepúlveda differed in their conclusions regarding the status of Indigenous persons at least partly because las Casas had significant, yet incomplete, understanding of Indigenous persons, culture and societies and Sepúlveda had mere knowledge of them. To this end, I show that the epistemic state of understanding explains why Las Casas properly concluded that Indigenous persons deserve the same moral status afforded to Europeans. And I show how (...) las Casas’ understanding of Indigenous persons, culture and societies related to what he got wrong about Indigenous persons. (shrink)

There are many ways to understand the meanings of the #MeToo movement. Analyses of its significance have proliferated in popular media; some academic analyses have also recently appeared. Commentary on the philosophical and epistemic significance of the #MeToo movement has been less plentiful. The specific moment of the #MeToo movement in which Dr. Christine Blasey Ford’s testimony garnered a widespread social media response from sexual violence survivors highlighted the power of a particular form of epistemic response, what I (...) call ‘epistemic refusal.’ In breaking our silence, those of us who are sexual violence survivors have used this strategy to refuse the dominant epistemic structures that have kept us tightly in check. Mass informal disclosure of survivor status represented in conjunction with hashtags such as #MeToo, #WhyIDidntReport, and #BelieveHer creates space for epistemic, ethical, and political community between survivors of sexual violence by denying hegemonic epistemic discourses of contemporary rape culture. Regarding Dr. Blasey Ford’s testimony and the social media response it garnered, analysis of three main elements proves particularly illuminating: the nature of mass informal disclosure of sexual violence, what the hashtag #WhyIDidntReport reveals about refusing silence, and what the hashtags #BelieveHer and #BelieveSurvivors can show us about what it takes to begin to overcome epistemic gaslighting. (shrink)

This paper examines two parallel discussions of scientific modeling which have invoked experimentation in addressing the role of models in scientific inquiry. One side discusses the experimental character of models, whereas the other focuses on their exploratory uses. Although both relate modeling to experimentation, they do so differently. The former has considered the similarities and differences between models and experiments, addressing, in particular, the epistemic value of materiality. By contrast, the focus on exploratory modeling has highlighted the various kinds (...) of exploratory functions of models in the early stages of inquiry. These two perspectives on modeling are discussed through a case study in the field of synthetic biology. The research practice in question explores biological control by making use of an ensemble of different epistemic means: mathematical models and simulations, synthetic genetic circuits and intracellular measuring devices, and finally electronic circuits. We argue that the study of exploratory modeling should trace the ways different epistemic means, in different materialities, are being combined over time. Finally, the epistemic status of such novel investigative objects as synthetic genetic circuits is evaluated, with the conclusion that they can function as both experiments and models. (shrink)

For the last ten years, within molecular life sciences, the reproducibility crisis discourse has been embodied as a crisis of trust in scientific images. Beyond the contentious perception of “questionable research practices” associated with a digital turn in the production of images, this paper highlights the transformations of gel electrophoresis as a family of experimental techniques. Our aim is to analyze the evolving epistemic status of generated images and its connection with a crisis of trust in images within (...) that field.From the 1980s to the 2000s, we identify two key innovations (precast gels and gel docs) leading to a “two‐tiered” gel electrophoresis with different standardization procedures, different epistemic statuses of the produced images and different ways of generating (dis)trust in images. The first tier, exemplified by differential gel electrophoresis (DIGE), is characterized by specialized devices processing images as quantitative data. The second tier, exemplified by polyacrylamide gel electrophoresis (PAGE), is described as a routine technique making use of image as qualitative “virtual witnessing.” The difference between these two tiers is particularly apparent in the ways images are processed, even though both tiers involve image digitization. Our account thus highlights different views on reproducibility within the two tiers. Comparability of images is insisted upon in the first tier while traceability is expected in the second tier. It is striking that these differences occur not only within the same scientific field, but even within the same family of experimental techniques. In the second tier, digitization entails distrust, whereas it implies a collective sentiment of trust in the first tier. (shrink)

‘Visualisations play an important role in science’, this seems to be an uncontroversial statement today. Scientists not only use visual representations as means to communicate their research results in publications or talks, but also often as surrogates for their objects of interest during the process of research. Thus, we can make a distinction between two contexts of usage here, namely the explanatory and the exploratory context. The focus of this paper is on the latter one. Obviously, using visualisations as surrogates (...) for their objects of depiction presupposes the assumption that the former can tell us something relevant about the latter. Thus, a particular referential relation between object and image has to be assumed that can transfer the relevant information. Furthermore, as science is a collaborative enterprise – a social activity – this information has to be intersubjectively accessible and stable. Nonetheless, philosophers of science still quarrel about the epistemic and ontological status of such visualisations. After all, they are means to visualise theoretical entities, such as the Higgs Boson, i.e. entities that are principally not observable with the unaided eye. Especially the significant reliance on information technology devices to access this world of the unobservable provokes a lot of suspicion with regard to the referential status of such visualisations. In this sense, quite a few philosophers adopt social constructivism as an explanatory hypothesis. A particular image is constructed with the aid of instruments and theoretical assumptions; hence it does not refer to an entity outside this system. In this paper, I will critically analyse this assumption and try to argue for an alternative point of view. (shrink)

We motivate a picture of social epistemology that sees forgetting as subject to epistemic evaluation. Using computer simulations of a simple agent-based model, we show that how agents forget can have as large an impact on group epistemic outcomes as how they share information. But, how we forget, unlike how we form beliefs, isn’t typically taken to be the sort of thing that can be epistemically rational or justified. We consider what we take to be the most promising (...) argument for this claim and find it lacking. We conclude that understanding how agents forget should be as central to social epistemology as understanding how agents form beliefs and share information with others. (shrink)

With the #MeToo movement and the Women’s Marches behind us, it has become clear that women are angry. This anger is often criticised for being disruptive or uncommunicative, with calm rationality being praised as a superior alternative. In this article, I use the framework of Fricker’s (2007) Epistemic Injustice to examine the communicative disadvantages and merits of what I call feminist anger. I explain how feminist anger can be subject to both testimonial and hermeneutical injustices, but that this does (...) not mean it should not be used to communicate. Importantly, feminist anger can challenge the patriarchal status quo and it can provide an epistemic bridge towards hermeneutical justice. By listening to feminist anger, both our own and others’, we can get one step closer to epistemic equality. (shrink)

For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many ti...

Whether in the form of testimonial injustice, hermeneutical injustice, or contributory injustice, epistemic injustice is characterised an injustice rather than simply an epistemic harm because it is often motivated by an identity prejudice and exacerbates existing social disadvantages and inequalities. I argue that epistemic injustice can also be utlised against some members of privileged social identity groups in order to preserve the dominant status of the group as a whole. As a case-study, I analyze how the (...) harms to male victims of sexual violence is exacerbated by the failure of the law to recognise the rape of men as a crime and the failure of other people to recognise the testimony of male rape victims as credible. Analyzing shifts in the legal concept of rape and examples from Project Unbreakable, I uncover how these failures of recognition undermine the victims’ status as legal, moral, and epistemic subjects and inflict epistemic injustice against them. (shrink)

The theory of epistemic vigilance posits that -- to quote the eponymous paper that introduced the theory -- “humans have a suite of cognitive mechanisms for epistemic vigilance, targeted at the risk of being misinformed by others." Despite the widespread acceptance of the theory of epistemic vigilance, however, I argue that the theory is a poor fit with the evidence: while there is good reason to accept that people ARE vigilant, there is also good reason to believe (...) that their vigilance is NOT epistemic. Rather, the evidence actually supports an alternative theory, one that I dub the theory of "Machiavellian vigilance": humans have a suite of cognitive mechanisms for Machiavellian vigilance, targeted at tracking others' relative social status and maintaining or enhancing one's own status. The evidence against epistemic vigilance stems from three sources: (a) data demonstrating that people are terrible at detecting honesty or competence, (b) data demonstrating that our vigilance is phylogenetically prior to the development of homo sapiens, and therefore was not designed to be sensitive to linguistic communication, and (c) data demonstrating that people's sources of information are distributed, and not detectable through individual vigilance. The evidence in favor of Machiavellian vigilance is the mirror image of the evidence against epistemic vigilance: (a) data demonstrating that people are very accurate at detecting status, (b) data demonstrating that social species, including bonobos and chimps, track the social status of their conspecifics, and (c) data demonstrating that people can quickly track status even in new social groups. (shrink)

Since subjection to harm is an intrinsic feature of our social and epistemic lives, there is a perpetual need for individual and collective agents with the virtue of epistemic courage. In this chapter, I survey some of the main issues germane to this virtue, such as the nature of courage and of harm, the range of epistemic activities that can manifest courage, and the status of epistemic courage as a collective and as a professional virtue.

Is simulation some new kind of science? We argue that instead simulation fits smoothly into existing scientific practice, but does so in several importantly different ways. Simulations in general, and computer simulations in particular, ought to be understood as techniques which, like many scientific techniques, can be employed in the service of various and diverse epistemic goals. We focus our attentions on the way in which simulations can function as (i) explanatory and (ii) predictive tools. We argue (...) that a wide variety of simulations, both computational and physical, are best conceived in terms of a set of common features: initial or input conditions, a mechanism or set of rules, and a set of results or output conditions. Studying simulations in these terms yields a new understanding of their character as well as a body of normative recommendations for the care and feeding of scientific simulations. (shrink)

Imagine a character, Mary Analogue, who has a complete theoretical knowledge of her subject matter: the illusory nature of self. Suppose that when presenting her paper on no self at a conference she suffers stage-fright – a reaction that implies she is under an illusion of the very self whose existence she denies. Might there be something defective about her knowledge of no self? The Buddhist tradition would claim that Mary Analogue, despite her theoretical omniscience, lacks deep ‘insight knowledge’ into (...) the reality of no self. The only way for her to gain insight, and thereby improve her epistemic status, would be to divest her mind of the self-illusion. In this paper, I offer an analysis of what could be epistemically involved in the process of acquiring such insight knowledge whereby one becomes, in Buddhist parlance, ‘awakened’. (shrink)

Since the 1990’s, social sciences are living their computational turn. This paper aims to clarify the epistemological meaning of this turn. To do this, we have to discriminate between different epistemic functions of computation among the diverse uses of computers for modeling and simulating in the social sciences. Because of the introduction of a new – and often more user-friendly – way of formalizing and computing, the question of realism of formalisms and of proof value of computational treatments reemerges. (...) Facing the spreading of computational simulations in all disciplines, some enthusiastic observers are claiming that we are entering a new era of unity for social sciences. Finally, the article shows that the conceptual and epistemological distinctions presented in the first sections lead to a more mitigated position: the transdisciplinary computational turn is a great one, but it is of a methodological nature. (shrink)

The paper analyses in some depth the distinction by Paul Humphreys between "epistemic opacity" —which I refer to as "weak epistemic opacity" here— and "essential epistemic opacity", and defends the idea that epistemic opacity in general can be made sense as coming in degrees. The idea of degrees of epistemic opacity is then exploited to show, in the context of computer simulations, the tight relation between the concept of epistemic opacity and actual scientific (modelling (...) and simulation) practices. As a consequence, interesting questions arise in connection with the role of agents dealing with epistemically opaque processes such as computer simulations. (shrink)

Epistemic peer disagreement raises interesting questions, both in epistemology and in philosophy of science. When is it reasonable to defer to the opinion of others, and when should we hold fast to our original beliefs? What can we learn from the fact that an epistemic peer disagrees with us? A question that has received relatively little attention in these debates is the value of epistemic peer disagreement—can it help us to further epistemic goals, and, if so, (...) how? We investigate this through a recent case in paleoanthropology: the debate on the taxonomic status of Homo floresiensis remains unresolved, with some authors arguing the fossils represent a novel hominin species, and others claiming that they are Homo sapiens with congenital growth disorders. Our examination of this case in the recent history of science provides insights into the value of peer disagreement, indicating that it is especially valuable if one does not straightaway defer to a peer’s conclusions, but nevertheless remains open to a peer’s evidence and arguments. (shrink)

The ontological models framework distinguishes ψ-ontic from ψ-epistemic wave- functions. It is, in general, quite straightforward to categorize the wave-function of a certain quantum theory. Nevertheless, there has been a debate about the ontological status of the wave-function in the statistical interpretation of quantum mechanics: is it ψ-epistemic and incomplete or ψ-ontic and complete? I will argue that the wave- function in this interpretation is best regarded as ψ-ontic and incomplete.

Epistemic Courage is a timely and thought-provoking exploration of the ethics of belief, which shows why epistemology is no mere academic abstraction - the question of what to believe couldn't be more urgent. Jonathan Ichikawa argues that a skeptical, negative bias about belief is connected to a conservative bias that reinforces the status quo.

In one of the earlier influential papers in the field of experimental philosophy titled Normativity and Epistemic Intuitions published in 2001, Jonathan M. Weinberg, Shaun Nichols and Stephen Stich reported that respondents answered Gettier type questions differently depending on their ethnic background as well as socioeconomic status. There is currently a debate going on, on the significance of the results of Weinberg et al. (2001) and its implications for philosophical methodology in general and epistemology in specific. Despite the (...) debates, however, to our knowledge, there has not been a replication attempt of the experiments of the original paper. We collected data from four different sources (two on-line and two in-person) to replicate the experiments. Despite several different data sets and in various cases larger sample sizes and hence greater power to detect differences, we failed to detect significant differences between the above-mentioned ethnic and socioeconomic groups. Our results suggest that epistemic intuitions are more robust across ethnic and socioeconomic groups than Weinberg et al. (2001) indicates. Given our data, we believe that the notion of differences in epistemic intuitions among different ethnic and socioeconomic groups that follows from Weinberg et al. (2001) needs to be corrected. (shrink)

Many of us are unmoved when it is objected that some morally or intellectually suspect source agrees with our belief. While we may tend to find this kind of guilt by epistemic association unproblematic, I argue that this tendency is a mistake. We sometimes face what I call the problem of unwelcome epistemic company. This is the problem of encountering agreement about the content of your belief from a source whose faults give you reason to worry about the (...) belief's truth, normative status, etiology, or implications. On the basis of an array of cases, I elaborate four distinct kinds of problems that unwelcome epistemic company poses. Two of these are distinctly epistemic, and two are moral. I canvass possible responses, ranging from stubbornness to an epistemic prudishness that avoids unwelcome company at all costs. Finally, I offer preliminary lessons of the problem and distinguish it from the problem of peer disagreement. (shrink)

A growing number of philosophers are concerned with the epistemic status of culturally nurtured beliefs, beliefs found especially in domains of morals, politics, philosophy, and religion. Plausibly, worries about the deep impact of cultural contingencies on beliefs in these domains of controversial views is a question about well-foundedness: Does it defeat well-foundedness if the agent is rationally convinced that she would take her own reasons for belief as insufficiently well-founded, or would take her own belief as biased, had (...) she been nurtured in a different psychographic community? This chapter will examine the proper scope and force of this epistemic location problem. It sketches an account of well and ill-founded nurtured belief based upon the many markers of doxastic strategies exhibiting low to high degrees of inductive risk: the moral and epistemic risk of ‘getting it wrong’ in an inductive context of inquiry. (shrink)

This book concerns the foundations of epistemic modality and hyperintensionality and their applications to the philosophy of mathematics. I examine the nature of epistemic modality, when the modal operator is interpreted as concerning both apriority and conceivability, as well as states of knowledge and belief. The book demonstrates how epistemic modality and hyperintensionality relate to the computational theory of mind; metaphysical modality and hyperintensionality; the types of mathematical modality and hyperintensionality; to the epistemic status of (...) large cardinal axioms, undecidable propositions, and abstraction principles in the philosophy of mathematics; to the modal and hyperintensional profiles of the logic of rational intuition; and to the types of intention, when the latter is interpreted as a hyperintensional mental state. Chapter 2 argues for a novel type of expressivism based on the duality between the categories of coalgebras and algebras, and argues that the duality permits of the reconciliation between modal cognitivism and modal expressivism. I also develop a novel topic-sensitive truthmaker semantics for dynamic epistemic logic, and develop a novel dynamic epistemic two-dimensional hyperintensional semantics. Chapter 3 provides an abstraction principle for epistemic (hyper-)intensions. Chapter 4 advances a topic-sensitive two-dimensional truthmaker semantics, and provides three novel interpretations of the framework along with the epistemic and metasemantic. Chapter 5 applies the fixed points of the modal μ-calculus in order to account for the iteration of epistemic states in a single agent, by contrast to availing of modal axiom 4 (i.e. the KK principle). The fixed point operators in the modal μ-calculus are rendered hyperintensional, which yields the first hyperintensional construal of the modal μ-calculus in the literature and the first application of the calculus to the iteration of epistemic states in a single agent instead of the common knowledge of a group of agents. Chapter 6 advances a solution to the Julius Caesar problem based on Fine's `criterial' identity conditions which incorporate conditions on essentiality and grounding. Chapter 7 provides a ground-theoretic regimentation of the proposals in the metaphysics of consciousness and examines its bearing on the two-dimensional conceivability argument against physicalism. The topic-sensitive epistemic two-dimensional truthmaker semantics developed in chapters 2 and 4 are availed of in order for epistemic states to be a guide to metaphysical states in the hyperintensional setting. -/- Chapters 8-12 provide cases demonstrating how the two-dimensional hyperintensions of hyperintensional, i.e. topic-sensitive epistemic two-dimensional truthmaker, semantics, solve the access problem in the epistemology of mathematics. Chapter 8 examines the interaction between my hyperintensional semantics and the axioms of epistemic set theory, large cardinal axioms, the Epistemic Church-Turing Thesis, the modal axioms governing the modal profile of Ω-logic, Orey sentences such as the Generalized Continuum Hypothesis, and absolute decidability. These results yield inter alia the first hyperintensional Epistemic Church-Turing Thesis and hyperintensional epistemic set theories in the literature. Chapter 9 examines the modal and hyperintensional commitments of abstractionism, in particular necessitism, and epistemic hyperintensionality, epistemic utility theory, and the epistemology of abstraction. I countenance a hyperintensional semantics for novel epistemic abstractionist modalities. I suggest, too, that observational type theory can be applied to first-order abstraction principles in order to make first-order abstraction principles recursively enumerable, i.e. Turing machine computable, and that the truth of the first-order abstraction principle for hyperintensions is grounded in its being possibly recursively enumerable and the machine being physically implementable. Chapter 10 examines the philosophical significance of hyperintensional Ω-logic in set theory and discusses the hyperintensionality of metamathematics. Chapter 11 provides a modal logic for rational intuition and provides a hyperintensional semantics. Chapter 12 avails of modal coalgebras to interpret the defining properties of indefinite extensibility, and avails of hyperintensional epistemic two-dimensional semantics in order to account for the interaction between the interpretational and objective modalities and truthmakers thereof. This yields the first hyperintensional category theory in the literature. I invent a new mathematical trick in which first order structures are treated as categories, and Vopenka's principle can be satisfied because of the elementary embeddings between the categories and generate Vopenka cardinals while bypassing the category of Set in category theory. Chapter 13 examines modal responses to the alethic paradoxes. Chapter 14 examines, finally, the modal and hyperintensional semantics for the different types of intention and the relation of the latter to evidential decision theory. (shrink)

Many social gradients in health appear steeper for men than for women. I refer to this as the “Steepness Puzzle.” This paper explores the ethical implications of this Puzzle. First, it identifies potential explanations for the Steepness Puzzle, including methodological problems. Second, it highlights two harms associated with the methodological explanation: the consequences of biased epistemic practices and the marginalization of women. It also demonstrates how attempts to flatten the gradients in health could disproportionately favor men or reinforce troubling (...) gendered norms. Finally, I suggest ways to address the methodological problems underlying the Puzzle. (shrink)

In a series of formal studies and less formal applications, Hong and Page offer a ‘diversity trumps ability’ result on the basis of a computational experiment accompanied by a mathematical theorem as explanatory background (Hong & Page 2004, 2009; Page 2007, 2011). “[W]e find that a random collection of agents drawn from a large set of limited-ability agents typically outperforms a collection of the very best agents from that same set” (2004, p. 16386). The result has been extremely influential as (...) an epistemic justification for diversity policy initiatives. Here we show that the ‘diversity trumps ability’ result is tied to the particular random landscape used in Hong and Page’s simulation. We argue against interpreting results on that random landscape in terms of ‘ability’ or ‘expertise.’ These concepts are better modeled on smother and more realistic landscapes, but keeping other parameters the same those are landscapes on which it is groups of the best performing that do better. Smoother landscapes seem to vindicate both the concept and the value of expertise. Change in other parameters, however, also vindicates diversity. With an increase in the pool of available heuristics, diverse groups again do better. Group dynamics makes a difference as well; simultaneous ‘tournament’ deliberation in a group in place of the ‘relay’ deliberation in Hong and Page’s original model further emphasizes an advantage for diversity. ‘Tournament’ 2 dynamics particularly shows the advantage of mixed groups that include both experts and non-experts. As a whole, our modeling results suggest that relative to problem characteristics and conceptual resources, the wisdom of crowds and the wisdom of the few each have a place. We regard ours as a step toward attempting to calibrate their relative virtues in different modelled contexts of intellectual exploration. (shrink)

The formal and empirical-generative perspectives of computation are demonstrated to be inadequate to secure the goals of simulation in the social sciences. Simulation does not resemble formal demonstrations or generative mechanisms that deductively explain how certain models are sufficient to generate emergent macrostructures of interest. The description of scientific practice implies additional epistemic conceptions of scientific knowledge. Three kinds of knowledge that account for a comprehensive description of the discipline were identified: formal, empirical and intentional knowledge. The (...) use of formal conceptions of computation for describing simulation is refuted; the roles of programming languages according to intentional accounts of computation are identified; and the roles of iconographic programming languages and aesthetic machines in simulation are characterized. The roles that simulation and intentional decision making may be able to play in a participative information society are also discussed. (shrink)

There is an ongoing debate on whether or to what degree computer simulations can be likened to experiments. Many philosophers are sceptical whether a strict separation between the two categories is possible and deny that the materiality of experiments makes a difference (Morrison 2009, Parker 2009, Winsberg 2010). Some also like to describe computer simulations as a “third way” between experimental and theoretical research (Rohrlich 1990, Axelrod 2003, Kueppers/Lenhard 2005). In this article I defend the view that computer simulations are (...) not experiments but that they are tools for evaluating the consequences of theories and theoretical assumptions. In order to do so the (alleged) similarities and differences between simulations and experiments are examined. It is found that three fundamental differences between simulations and experiments remain: 1) Only experiments can generate new empirical data. 2) Only Experiments can operate directly on the target system. 3) Experiments alone can be employed for testing fundamental hypotheses. As a consequence, experiments enjoy a distinct epistemic role in science that cannot completely be superseded by computer simulations. This finding in connection with a discussion of border cases such as hybrid methods that combine measurement with simulation shows that computer simulations can clearly be distinguished from empirical methods. It is important to understand that computer simulations are not experiments, because otherwise there is a danger of systematically underestimating the need for empirical validation of simulations. (shrink)

This paper concerns would-be necessary connections between doxastic attitudes about the epistemic statuses of your doxastic attitudes, or ‘higher-order epistemic attitudes’, and the epistemic statuses of those doxastic attitudes. I will argue that, in some situations, it can be reasonable for a person to believe p and to suspend judgment about whether believing p is reasonable for her. This will set the stage for an account of the virtue of intellectual humility, on which humility is a matter (...) of your higher-order epistemic attitudes. Recent discussions in the epistemology of disagreement have assumed that the question of the proper response to disagreement about p concerns whether you ought to change your doxastic attitude towards p. My conclusion here suggests an alternative approach, on which the question of the proper response to disagreement about p concerns the proper doxastic attitude to adopt concerning the epistemic status of your doxastic attitude towards p.Send article to KindleTo send this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle. Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service.HIGHER-ORDER EPISTEMIC ATTITUDES AND INTELLECTUAL HUMILITYVolume 9, Issue 3Allan HazlettDOI: https://doi.org/10.1017/epi.2012.11Your Kindle email address Please provide your Kindle [email protected]@kindle.com Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Dropbox To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox. HIGHER-ORDER EPISTEMIC ATTITUDES AND INTELLECTUAL HUMILITYVolume 9, Issue 3Allan HazlettDOI: https://doi.org/10.1017/epi.2012.11Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Google Drive To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive. HIGHER-ORDER EPISTEMIC ATTITUDES AND INTELLECTUAL HUMILITYVolume 9, Issue 3Allan HazlettDOI: https://doi.org/10.1017/epi.2012.11Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Export citation Request permission. (shrink)

Knowledge is not only true belief, because some true beliefs are supported by lucky guesswork and hence do not describe knowledge. Knowledge requires possession of good reasons that elevates a true belief to the status of knowledge. This is justification condition. However, this concept of knowledge has been disputed by Gettier and requires modification. Some philosophers say that we must add the condition that the complete justification that a man has for what he believes must not depend on any (...) false sentence. In this paper, I will examines two theories of justification in detail, and 9 refer briefly to two theories. A simple concept of epistemic justification is that a person is justified in believing that (p), if his belief that (p) is based on adequate grounds. The first theory is the foundations theory, or foundationalism, according to it, knowledge and justification are based on some sort of foundation. Such foundation consists of basic beliefs that are justified in themselves, upon which the justification for all other beliefs rests. The second theory is the coherence theory, or coherentism. This theory is based on the thesis that belief is justified if it belongs to a coherent set of beliefs. Coherentists deny the need for basic beliefs because all beliefs may be justified by their relation to others by mutual support. The third theory is the externalist theory. The externalist says that we need neither basic beliefs nor coherence to acquire knowledge, but rather right kind of external relationship to get knowledge. According to Goldman the appropriate relationship is causal. Armstrong and Dretske have argued that the relationship results from some law of nature. The fourth theory is foundherentism. This theory is presented by Susan Haack as an alternative to foundationalism and coherentism. It agrees with coherentism that there are no basic beliefs and agrees with foundationalism that experience can be relevant to empirical justification. ليست المعرفة اعتقاداً صادقاً فحسب، لأن بعض الاعتقادات الصادقة يتم تأييدها عن طريق التخمين، ولذلك لا توصف بأنها معرفة. فالمعرفة تتطلب امتلاك الأسباب الجيدة التي ترفع الاعتقاد الصادق إلى مرتبة المعرفة، وهذا هو شرط التسويغ. ومع ذلك فقد جادل جيتير في هذا التصور للمعرفة وطالب بتعديله. وقال بعض الفلاسفة لابد من أن نضيف شرطا مؤداه أن التسويغ الكامل الذي يملكه الإنسان لما يعتقده يجب ألا يعتمد على أية جملة كاذبة. وفي هذا البحث سوف أفحص نظريتين في التسويغ بشيء من التفصيل، وأشير بإيجاز إلى نظريتين. والتصور البسيط للتسويغ المعرفي هو أن الشخص يكون مسوغا في الاعتقاد بأن (ق) إذا كان اعتقاده بأن (ق) قائم على أسس كافية. والنظرية الأولى هي نظرية الأسس أو نزعة الأسس، وتبعا لهذه النظرية فإن المعرفة والتسويغ يقومان على نوع ما من الأساس. ويتألف هذا الأساس من اعتقادات أساسية تكون مسوغة في ذاتها، ويرتكز عليها تسويغ جميع الاعتقادات الأخرى. والنظرية الثانية هي نظرية الاتساق أو نزعة الاتساق. وتقوم هذه النظرية على الدعوى القائلة إن الاعتقاد يكون مسوغا إذا كان ينتمي إلى مجموعة متسقة من الاعتقادات. وينكر أصحاب نظرية الاتساق الحاجة إلى اعتقادات أساسية لأن جميع الاعتقادات يجوز تسويغها عن طريق علاقتها باعتقادات أخرى بواسطة التأييد المتبادل. أما النظرية الثالثة فهي النظرية الخارجية. ويقول صاحب النظرية الخارجية إننا لا نحتاج إلى اعتقادات أساسية ولا إلى اتساق لكي نحصل على المعرفة، وإنما نحتاج بالأحرى إلى النوع الصحيح من العلاقة الخارجية بين الاعتقادات والواقع للحصول على المعرفة. وتبعا لجولدمان فإن العلاقة الملائمة هي علاقة سببية. أما ارمسترونج ودرتسكي فقد حاولا البرهنة على أن العلاقة تنشأ من قانون ما في الطبيعة. والنظرية الرابعة هي نزعة بين الأسس والاتساق. وتقدم سوزان هاك هذه النظرية بديلاً لنزعة الأسس ونزعة الاتساق. وتتفق نظريتها مع نزعة الاتساق على أنه لا توجد اعتقادات أساسية، وتتفق مع نزعة الأسس على أن التجربة يمكن أن تكون ملائمة للتسويغ التجريبي. (shrink)