I am deeply indebted to Alex Byrne, Jonathan Cohen and Matthew McGrath for their careful, constructive, and penetrating comments on The Unity of Perception and I am grateful for the opportunity to clarify my view further.

Accuracy arguments for the core tenets of Bayesian epistemology differ mainly in the conditions they place on the legitimate ways of measuring the inaccuracy of our credences. The best existing arguments rely on three conditions: Continuity, Additivity, and Strict Propriety. In this paper, I show how to strengthen the arguments based on these conditions by showing that the central mathematical theorem on which each depends goes through without assuming Additivity.

Traditional definitions of lying require that a speaker believe that what she asserts is false. Sam Fox Krauss seeks to jettison the traditional belief requirement in favour of a necessary condition given in a credence-accuracy framework, on which the liar expects to impose the risk of increased inaccuracy on the hearer. He argues that this necessary condition importantly captures nearby cases as lies which the traditional view neglects. I argue, however, that Krauss's own account suffers from an identical drawback (...) of being unable to explain nearby cases; and even worse, that account fails to distinguish cases of telling lies from cases of telling the truth. (shrink)

Tyler Burge (2010) provided a scathing critique of all programs for naturalizing concepts of representation, especially teleological naturalizing programs. He tended to demonstrate that “representational content” is a concept that cannot be reduced to more fundamental biological or physical ideas. According to him, since the 1970s, the concept of representational content has been firmly established in cognitive psychology as a mature science and utilized inadequate explanations. Since Dretske’s program is Burge’s primary objective, this paper concentrates on Dretske’s perspective. Following Burge’s (...) criticisms, I concur that Dretske’s naturalizing program trivializes the complex concept of representational content in cognitive science by applying it to bacteria, protozoa, etc. There is a superior explanation, namely Burge’s alternative idea of “registering information.” I do not believe, however, that this spells the end of naturalization programs. There is no reason to deny that at least some biological functions entail representational capacities with perceptual constancy, if not all. Cases of genuine perception, representing the accurate distal causes of proximal stimuli under various conditions, contribute to fitness. It is not by accident that representational content plays a role in cases of genuine perception. Consequently, I will argue that accuracy and biological fitness cannot be separated. (shrink)

Character judgments play an important role in our everyday lives. However, decades of empirical research on trait attribution suggest that the cognitive processes that generate these judgments are prone to a number of biases and cognitive distortions. This gives rise to a skeptical worry about the epistemic foundations of everyday characterological beliefs that has deeply disturbing and alienating consequences. In this paper, I argue that this skeptical worry is misplaced: under the appropriate informational conditions, our everyday character-trait judgments are (...) in fact quite trustworthy. I then propose a mindreading-based model of the socio-cognitive processes underlying trait attribution that explains both why these judgments are initially unreliable, and how they eventually become more accurate. (shrink)

Almost all philosophers agree that a necessary condition on lying is that one says what one believes to be false. But, philosophers haven’t considered the possibility that the true requirement on lying concerns, rather, one’s degree-of-belief. Liars impose a risk on their audience. The greater the liar’s confidence that what she asserts is false, the greater the risk she’ll think she’s imposing on the dupe, and, therefore, the greater her blameworthiness. From this, I arrive at a dilemma: either the belief (...) requirement is wrong, or lying isn’t interesting. I suggest an alternative necessary condition for lying on a degree-of-belief framework. (shrink)

I shall specify about what we are thinking when we are talking about regulating something by specifying accuracy conditions. The main thesis is that we couldn’t describe representational relations as perceptual relationships if we lack a normative conception of relationships between representing and represented. Hence, searching for what it is assessable for accuracy depends on specifying the kind of intentional content which is normatively individuated and attributed.

I describe two traditions of philosophical accounts of evidence: one characterizes the notion in terms of signs of success, the other characterizes the notion in terms of conditions of success. The best examples of the former rely on the probability calculus, and have the virtues of generality and theoretical simplicity. The best examples of the latter describe the features of evidence which scientists appeal to in practice, which include general features of methods, such as quality and relevance, and general (...) features of evidence, such as patterns in data, concordance with other evidence, and believability of the evidence. Two infamous episodes from biomedical research help to illustrate these features. Philosophical characterization of these latter features—conditions of success—has the virtue of potential relevance to, and descriptive accuracy of, practices of experimental scientists. (shrink)

This paper addresses a largely neglected question in ongoing debates over disagreement: what is the relation, if any, between disagreements involving credences and disagreements involving outright beliefs? The first part of the paper offers some desiderata for an adequate account of credal and full disagreement. The second part of the paper argues that both phenomena can be subsumed under a schematic definition which goes as follows: A and B disagree if and only if the accuracy conditions of A's (...) doxastic attitude are such that, if they were fulfilled, this would ipso facto make B's doxastic attitude inaccurate, or vice-versa. (shrink)

This paper argues that the accuracy of perceptual experiences cannot be properly characterized by using the particular notion of content without breaking one of the three plausible assumptions. On the other hand, the general notion of content is not threatened by this problem. The first assumption is that all elements of content determine the accuracy conditions of an experience. The second states that objects needed for the accuracy of experiences are physical entities that stand in a (...) perceptual relation to a subject. According to the third assumption, common experiences do not have accuracy conditions that are impossible to satisfy. The above point is demonstrated by analysing illusions of identity in which the number of objects is represented incorrectly. In the concluding parts of the paper, I investigate how an alternative account of particular content can be developed by rejecting the first assumption. (shrink)

What is the relationship between perception and mental imagery? I aim to eliminate an answer that I call perceptualism about mental imagery. Strong perceptualism, defended by Bence Nanay, predictive processing theorists, and several others, claims that imagery is a kind of perceptual state. Weak perceptualism, defended by M. G. F. Martin and Matthew Soteriou, claims that mental imagery is a representation of a perceptual state, a view sometimes called The Dependency Thesis. Strong perceptualism is to be rejected since it misclassifies (...) imagery disorders and abnormalities as perceptual disorders and abnormalities. Weak Perceptualism is to be rejected since it gets wrong the aim and accuracy conditions of a whole class of mental imagery–projected mental imagery–and relies on an impoverished concept of perceptual states, ignoring certain of their structural features. Whatever the relationship between perception and imagery, the perceptualist has it wrong. (shrink)

Perceptual Confidence is the view that perceptual experiences assign degrees of confidence. After introducing, clarifying, and motivating Perceptual Confidence, I catalogue some of its more interesting consequences, such as the way it blurs the distinction between veridical and illusory experiences, a distinction that is sometimes said to carry a lot of metaphysical weight. I also explain how Perceptual Confidence fills a hole in our best scientific theories of perception and why it implies that experiences don't have objective accuracy (...) class='Hi'>conditions. (shrink)

Naïve Realists hold that perceptual experience is a conscious relation to an object and its property-instances. In contrast, Representationalists hold that it is a conscious representational state with content, something which is accurate or inaccurate in certain conditions. The most common versions of Representationalism take perceptual content to be either general (Generalism) or singular in the object-place and otherwise consisting of attribution of properties (Singularism/Attributionism). Susanna Schellenberg has recently developed a version on which perceptual content is singular even in (...) the property-place in containing a de re mode of presentation of a property-instance (Particularism) (Schellenberg 2018). Particularism is explicitly motivated by its ability to capture certain Naïve Realist insights and it would be genuine progress if it were the best version of Representationalism. Then the debate between Naïve Realism and Representationalism would reduce to the debate over Disjunctivism. In this paper I show that Particularism faces a version of the problem of the Unity of Perceptual Content. Namely, its supporters haven’t told us how objects can be bound together with property-instances into a content such that it represents them and has accuracy-conditions. Furthermore, I argue that Particularists face an in-principle obstacle in solving it. In contrast, Attributionists can say that objects are bound together with properties into a content because the latter are attributed to the former. This establishes Attributionism as the only Representationalist game in town. But Attributionism can’t capture all Naïve Realist insights that the Particularists are after. Thus, the debate between Naïve Realism and Representationalism doesn’t reduce to the debate over Disjunctivism. (shrink)

Metaethical constitutivists seek to ground normativity in facts about what is constitutive of agency. One strand of constitutivism locates the foundations of normativity in constitutive aims, which are standardly conceived of in teleological terms. I present three challenges that show that the teleological conception of constitutive aims is inadequate for the constitutivist project. I then sketch an alternative conception of constitutive aims in the form of a commitment-based conception. On the commitment-based conception, actions and attitudes constitutively represent their objects as (...) having certain properties, and their constitutive aims are fixed by the accuracy-conditions of these representations. Because such representations constitutively involve a commitment on the part of the agent to the object’s having the relevant property, they generate authoritative norms for the agent. I conclude that, unlike the teleological conception, the commitment-based conception promises to yield a unified constitutivism that delivers authoritative normative standards for both actions and attitudes. (shrink)

According to orthodox representationalism, perceptual states have constitutive veridicality or accuracy conditions. In defense of this view, several philosophers—most notably Tyler Burge—employ a realist strategy that turns on the purported explanatory ineliminability of representational posits in perceptual science. I argue that Burge’s version of the realist strategy fails as a defense of orthodox representationalism. However, it may vindicate a different kind of representationalism.

A compositional theory of perceptual representations would explain how the accuracy conditions of a given type of perceptual state depend on the contents of constituent perceptual representations and the way those constituents are structurally related. Such a theory would offer a basic framework for understanding the nature, grounds, and epistemic significance of perception. But an adequate semantics of perceptual representations must accommodate the holistic nature of perception. In particular, perception is replete with context effects, in which the way (...) one perceptually represents one aspect of a scene (including the position, size, orientation, shape, color, motion, or even unity of an object) normally depends on how one represents many other aspects of the scene. The ability of existing accounts of the semantics of perception to analyze context effects is at best unclear. Context effects have even been thought to call into question the very feasibility of a systematic semantics of perception. After outlining a compositional semantics for a rudimentary set of percepts, I draw on empirical models from perceptual psychology to show how such a theory must be modified to analyze context effects. Context effects arise from substantive constraints on how perceptual representations can combine and from the different semantic roles that perceptual representations can have. I suggest that context effects are closely tied to the objectivity of perception. They arise from a perceptual grammar that functions to facilitate the composition of reliably accurate representations in an uncertain but structured world. (shrink)

Visual perception is widely taken to present properties such as redness, roundness, and so on. This in turn might be thought to give rise to accuracy conditions for experience, and so content, regardless of which metaphysical view of perception one endorses. An influential version of this argument—Susanna Siegel’s ’Argument from Appearing’—aims to establish the existence of content as common ground between representational and relational views of perception. This goes against proponents of ‘austere’ relationalism who deny that content plays (...) a substantive role in philosophical explanations of conscious perceptual experience. Though Siegel’s argument purports to be neutral with respect to the metaphysics of perception, it relies upon an equivocation between the presentation of property-types and property-instances. Consequently, the argument begs the question against the austere relational view, and so fails to establish the desired conclusion. So while relationalists can and should allow that experiences have accuracy conditions, it does not follow from this that they have contents of any philosophically interesting or significant kind. (shrink)

Tinnitus is a common condition characterized by the perception of sound in the absence of an external source, with potential negative physical and psychological impacts. Accurate and efficient diagnosis of tinnitus is crucial for appropriate treatment and management. Traditional diagnostic methods have limitations in terms of time, cost, and accuracy. To address these challenges, expert systems have emerged as a promising tool for tinnitus diagnosis. This paper explores the application of expert systems in tinnitus diagnosis, highlighting their potential to (...) improve accuracy and efficiency. By incorporating a knowledge base and rule-based decision-making, expert systems can provide valuable insights for accurate diagnosis and appropriate management of tinnitus. Further research and development in this area can enhance the clinical assessment and treatment of tinnitus, ultimately improving the quality of life for affected individuals. (shrink)

Knowledge demands more than accuracy: epistemologists are broadly agreed that those who know are non-accidentally right, satisfying some kind of safety condition. However, it is hard to formulate any adequate account of safety, and harder still to explain exactly why we care about it. This paper approaches the problem by looking at a concrete human cognitive capacity, face recognition, to see where epistemic safety shows up in it. Drawing on new models in artificial intelligence, and making a case that (...) human face recognition is relevantly similar, I argue that safety is a natural feature of successful generalization. The concluding section of the paper applies this lesson to the problem of our intuitive recognition of knowledge. (shrink)

Miranda Fricker's original presentation of Hermeneutical Injustice left open theoretical choice points leading to criticisms and subsequent clarifications with the resulting dialectic appearing largely verbal. The absence of perspicuous exposition of hallmarks of Hermeneutical Injustice might suggest scenarios exhibiting some – but not all – such hallmarks are within its purview when they are not. The lack of clear hallmarks of Hermeneutical Injustice, moreover, obscures both the extent to which Fricker's proposed remedy Hermeneutical Justice – roughly, virtuous communicative practices – (...) adequately addresses the injustice, and the accuracy of criticisms suggesting that Hermeneutical Justice is insufficient to the task. In what follows, after briefly defending necessary and sufficient conditions for what I take to be the best candidate interpretation of Hermeneutical Injustice, I build on recent work on moral responsibility to construct and defend a rigorous explication of Hermeneutical Justice. (shrink)

Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reasons, it is important (...) to classify memory loss and to know the patient at what level and his assessment of Alzheimer's disease through CT scans of the brain. In this thesis, we review ways and techniques to use deep learning classification to classifying the Alzheimer's Disease The proposed method used to improve patient care, reduce costs, and allow fast and reliable analysis in large studies. The model will be designed using Python language for implementing the system, which is very useful for doctors, classifying the Alzheimer's Disease, was used. The model used 70% from image for training and 30% from image for validation, our trained model achieved an accuracy of 100% on a held-out test set. (shrink)

The amount of data to which a human is exposed has increased over time. The Delude is defined here as an individual that is overwhelmed by various incoherent and false assertions that data contains. This writing is a philosophical study that reflects on the epistemic conditions in which knowledge is accumulated. It is obvious that large amounts of falsehood, when regarded as truth, can induce heavy damage to anyone's intellect. -/- Frequently, a faulty mental state is induced by corrupt (...) knowledge. "The Delude" is an individual predisposed to accept as true large amounts of incoherent and false opinions. Understanding the complex conditions that induce a person to become 'a delude' is important; it is probable that these conditions will trigger a sad, miserable, and even an anti-social life. -/- The following are quotes from the text: -/- • The concept of the “delude” forwards the inference that man is not guaranteed rationality; man is merely capable of being rational. • What typically the deluded fool says is not right or even wrong; it is downright stupid. • At times, facts are in front of us; the blind can't see them, the deaf can't hear them, and the deluded fool can't believe them! • Delude: an individual who regards his own mental fascinations as reality, and is predisposed to strongly dedicate his or her entire life to a single idea which can be useful or destructive to his or her own life. • A generally accepted opinion is not, on that basis, guaranteed valid or a proof of its accuracy; equally, it is not proof of its falsity. The writing was reviewed by KIRKUS REVIEWS and also has a stared review from the ForeWord REVIEWS: -/- • In many instances, Gondor’s descriptions conjure a human image to the reader’s mind—i.e., “Extremism,” Gondor warns, “is a direct consequence of a highly deluded mind,” and particularly in politics and religion, he says, the delude can be a dangerous, unsettling force. – KIRKUS REVIEWS. -/- • According to Gondor, deludes tend to be conservative in their beliefs and convinced that their opinions are irrevocably true, despite evidence to the contrary. – ForeWord REVIEWS. -/- • Gondor believes that this narrow view comes from ingrained prejudices and limited cognitive ability, and he asserts that deluded people lack the capacity to objectively consider opposing or multiple perspectives. Consequently, they cling to the positions they understand with single-minded determination and often become radical advocates of those opinions. For example, an avid environmentalist who argues adamantly for the preservation of old-growth forests but also drives a large gas-guzzling and polluting truck through those same woods would be considered a delude. – ForeWord REVIEWS. -/- Fun reading, loaded with many ideas. You can download a PDF copy from this website, or can get a printed copy on Amazon. (shrink)

In psychiatry some disorders of cognition are distinguished from instances of normal cognitive functioning and from other disorders in virtue of their surface features rather than in virtue of the underlying mechanisms responsible for their occurrence. Aetiological considerations often cannot play a significant classificatory and diagnostic role, because there is no sufficient knowledge or consensus about the causal history of many psychiatric disorders. Moreover, it is not always possible to uniquely identify a pathological behaviour as the symptom of a certain (...) disorder, as disorders that are likely to differ both in their causal histories and in their overall manifestations may give rise to very similar patterns of behaviour. -/- Consider delusions as an example. It wouldn’t be correct to define delusions as those beliefs people form as a result of a neurobiological deficit and a hypothesis-evaluation deficit (as some versions of the two-factor theory of delusions suggest), because for some delusions no neurobiological deficit may be found, and reasoning biases and motivational factors may be contributors to the formation of the delusion (e.g. McKay et al., 2005). Moreover, it would be a mistake to define delusions as symptoms of schizophrenia alone, because they occur also in other disorders, including dementia, amnesia, and delusional disorders. Thus, aetiological considerations may appear in the description and analysis of delusions, but do not feature prominently in their definition. -/- In this paper I argue that the surface features used as criteria for the classification and diagnosis of disorders of cognition are often epistemic in character. I shall offer two examples: confabulations and delusions are defined as beliefs or narratives that fail to meet standards of accuracy and justification. Although classifications and diagnoses based on features of people’s observable behaviour are necessary at these early stages of neuropsychiatric research, given the variety of conditions in which certain phenomena appear, I shall attempt to show that current epistemic accounts of confabulations and delusions have limitations. Epistemic criteria can guide both research and clinical practice, but fail to provide sufficient conditions for the identification of delusions and confabulations, and fail to demarcate pathological from non-pathological narratives or beliefs. -/- Another limitation of current epistemic accounts – which I shall not address here – is the excessive focus on epistemic faults of confabulations and delusions at the expense of their epistemically neutral or advantageous features (see Bortolotti and Cox, 2009). This may lead to a misconception of delusions and confabulations, and to an oversimplification in the assessment of the needs of people who require clinical treatment for their psychotic symptoms. (shrink)

Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...) although there are also similarities among different sign languages. They are the foundation of local Deaf cultures and have evolved into effective means of communication. Although signing is primarily used by the deaf and hard of hearing, hearing people also use it when they are unable to speak, when they have difficulty speaking due to a health condition or disability (augmentative and alternative communication), or when they have deaf family members, such as children of deaf adults. In this article we use the 43500 image in the dataset in size 64*64 pixel by use CNN Architecture and achieved 100% accuracy. (shrink)

Cognitive states, such as beliefs, desires and intentions, may influence how we perceive people and objects. If this is the case, are those influences worse when they occur implicitly rather than explicitly? Here we show that cognitive penetration in perception generally involves an implicit component. First, the process of influence is implicit, making us unaware that our perception is misrepresenting the world. This lack of awareness is the source of the epistemic threat raised by cognitive penetration. Second, the influencing state (...) can be implicit, though it can also be or become explicit. Being unaware of the content of the influencing state, we argue, does not make as much difference to the epistemic threat as it does to the epistemic responsibility of the agent. Implicit influencers cannot be examined for their accuracy and justification, and cannot be voluntarily accepted by the perceiver. Conscious awareness, however, is not sufficient for attributing blame to the agent. An equally important condition is the degree of control that they can exercise to change the contents that influence perception or stop their influence. Here we suggest that such control can also result from social influence, and that cognitive penetrability of perception is therefore also a social issue. (shrink)

There are many things—call them ‘experts’—that you should defer to in forming your opinions. The trouble is, many experts are modest: they’re less than certain that they are worthy of deference. When this happens, the standard theories of deference break down: the most popular (“Reflection”-style) principles collapse to inconsistency, while their most popular (“New-Reflection”-style) variants allow you to defer to someone while regarding them as an anti-expert. We propose a middle way: deferring to someone involves preferring to make any decision (...) using their opinions instead of your own. In a slogan, deferring opinions is deferring decisions. Generalizing the proposal of Dorst (2020a), we first formulate a new principle that shows exactly how your opinions must relate to an expert’s for this to be so. We then build off the results of Levinstein (2019) and Campbell-Moore (2020) to show that this principle is also equivalent to the constraint that you must always expect the expert’s estimates to be more accurate than your own. Finally, we characterize the conditions an expert’s opinions must meet to be worthy of deference in this sense, showing how they sit naturally between the too-strong constraints of Reflection and the too-weak constraints of New Reflection. (shrink)

This articles develops a taxonomy of memory errors in terms of three conditions: the accuracy of the memory representation, the reliability of the memory process, and the internality (with respect to the remembering subject) of that process. Unlike previous taxonomies, which appeal to retention of information rather than reliability or internality, this taxonomy can accommodate not only misremembering (e.g., the DRM effect), falsidical confabulation, and veridical relearning but also veridical confabulation and falsidical relearning. Moreover, because it does not (...) assume that successful remembering presupposes retention of information, the taxonomy is compatible with recent simulation theories of remembering. (shrink)

In a recent article, Krauss (2017) raises some fundamental questions concerning (i) what the desiderata of a definition of lying are, and (ii) how definitions of lying can account for partial beliefs. This paper aims to provide an adequate answer to both questions. Regarding (i), it shows that there can be a tension between two desiderata for a definition of lying: 'descriptive accuracy' (meeting intuitions about our ordinary concept of lying), and 'moral import' (meeting intuitions about what is wrong (...) with lying), vindicating the primacy of the former desideratum. Regarding (ii), it shows that Krauss' proposed 'worse-off requirement' meets neither of these desiderata, whereas the 'comparative insincerity condition' (Marsili 2014) can meet both. The conclusion is that lies are assertions that the speaker takes to be more likely to be false than true, and their distinctive blameworthiness is a function of the extent to which they violate a sincerity norm. (shrink)

Do we apply higher epistemic standards to subjects with high stakes? This paper argues that we expect different outward behavior from high-stakes subjects—for example, we expect them to collect more evidence than their low-stakes counterparts—but not because of any change in epistemic standards. Rather, we naturally expect subjects in any condition to think in a roughly adaptive manner, balancing the expected costs of additional evidence collection against the expected value of gains in accuracy. The paper reviews a body of (...) empirical work on the automatic regulation of cognitive effort in response to stakes, and argues that we naturally see high- and low-stakes subjects as experiencing different levels of ‘epistemic anxiety’, and anticipate different levels of cognitive effort from them for this reason. If unresolved epistemic anxiety always bars an ascription of knowledge, then we can explain our responses to cases involving shifting stakes without positing any variation in the standards of intuitive knowledge ascription. (shrink)

Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all reaching (...) 97.23%. The model's success is attributed to its ability to effectively leverage attributes related to eating habits, physical condition, and demographic factors. Feature importance analysis reveals key factors contributing to accurate predictions. This paper contributes to the field of health analytics by demonstrating the effectiveness of Random Forest in predicting and categorizing health risks. The insights gained from this research have the potential to inform personalized health interventions and contribute to the advancement of precision health strategies. Furthermore, the study highlights the importance of leveraging machine learning techniques for health risk assessment in diverse populations. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping (...) causal patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

Sayyid Sadr al-din Mohammad Dashtaki Shirazi is the inventor of the division of composition into unified composition and composition by join. With this division, Dashtaki has expressed a new theory about the composition of the material object from first matter and form, as well as the composition of man from soul and body, and considers these compositions as an alliance and unification, not simply the parts joining to each other. In this paper, we will present Dashtaki’s arguments on the theory (...) of unified composition. We will also examine three objections to this theory and responses to them. Finally, we will examine the background of this theory in Bahmanyar's phrases. Dashtaki believes that when the components in the compound have a real plurality, i.e. each one exists separately from the other, a composition by join is created, such as the composition of a house from numerous clays. But if the components in the compound are united and none of them are separate from the others and exists actually, the resulting composition will be an alliance and union. He believes that in the unified composition, every component is identical to any other component and is identical to the whole. Accordingly, Reza is a unique being, both human and writer. In order to achieve a composition, a plurality is needed and in order to form a single composition, there must be plural components related to each other. An important question is that, principally how is a composition possible, if unified composition comes to existence only when the components are made united with each other and with the whole? In other words, unified composition is not possible, because the first condition of the acquisition of the composition, i.e., the plurality of the constituent components, is not satisfied. Dashtaki strives to express a difference between the components in the union compound. He believes that the conditions of the realization and the survival of the components are different, and that is enough for them to be different. In Dashtaki's point of view, in the unified composition the components are analytical, not being separate and plural, in reality. In other words, the components do not have actual and "in-the-world" plurality, which means that it is our intellect that separates them and looks at them as independent objects. Therefore, unity and identity are in-the-world and plurality and discernibility are analytical and in the mind. Dashtaki's first argument for his theory in general is as follows: the three major material objects (solid, plant and animal) are undoubtedly real compounds. But in these compositions, components exist potentially, and in a unified composition, components do not exist actually. Therefore, these objects are unified compounds. The second argument is that the accuracy of predication implies unity. In the unified composition, the components are identical with the whole, and therefore, the components can be predicated to the composition. In Dashtaki's view, if A is predicated to B, then it could be concluded that they are identical and unified. The first objection to this theory is that the unity is incompatible with causality. From the perspective of the Peripatetics, form is the cause of the matter, and this is incompatible with the union of the two. Dashtaki states that in case of causality, there is no need for cause and effect to be two different and discernible entities, but a single entity may be from one aspect the cause and, from another, the effect. In other words, the foresaid causality is analytical causality. When mind analyses something, and then finds analytical components, it can see between those analytical and intellectual components, causality, and find some of them as the cause of the others. The second objection is the incorrectness of the unity in compounds with components not being similar. only in the compounds having similar parts, one can accept the unity of matter and form. For example, in compounds such as horses, it is not possible to accept the union of matter and form, because in horses, there are components with different natures, such as bones, flesh and nerves. Unity of These parts with each other and with the whole is not plausible. Dashtaki’s respond is that the horse is also a natural unit and has no actual plurality. Components having similar or different natures does not make any difference. According to the theory of unified composition, the horse's components are united with the horse's form and have only analytical plurality. Horse’s components are just analytical components, not actual, independent ones. The third objection is the incompatibility of the actual existence of components with their unity. But Dashtaki maintains that a unique actual personal entity cannot have actual plural components. He states that compounds such as horses exist objectively, but objective and real existing is divided into two kinds: dependent existence, and independent existence as a single real thing. Therefore, the two characteristics of "being a component" and "being independent" are incompatible and do not come together in a real being. Dashtaki has also quoted phrases from Bahmanyar to confirm his point of view. Bahmanyar says that the properties of an animal belong to the whole and compound, not to each component. For example, it is a horse that feels, not its bone or brain, as the eye is also a compound, but seeing is the work of the eye, not the work of any of its components. Therefore, the animal, which is something compound, has characteristics that none of its components have. So the animal is something over and above its components. Bahmanyar thinks the components in the animal are potential. Then he states a general rule: any compound in which unity is real, its components do potentially exist. Therefore, Bahmanyar considers the body parts of the living organism as a potential being and generally believes that the components of any compound that have true unity are potential. The potentiality of the components in a real compound does not that mean that the components are destroyed and a new thing is produced. The components are also available, but they do not have the effects they had separately before the composition comes into existence. In other words, the components have found a unique identity together and therefore have a new effect.. It seems that Bahmanyar has expressed the same idea that Dashtaki is looking for in the theory of unified composition. Therefore, it can be said that before Dashtaki, Bahmanyar has come up with the thought of a unity. Of course, Bahmanyar has not explained much about this, and Dashtaki is the first who has organized and completed this idea as a philosophical theory. (shrink)

Heart palpitations, while often benign, can sometimes be indicative of severe underlying conditions requiring immediate intervention. Accurate and swift diagnosis thus remains a clinical priority. "A CLIPS-Based Expert System for Heart Palpitations Diagnosis" represents a novel approach to addressing this challenge, harnessing the power of artificial intelligence and rule-based expert systems. Specifically, this system applies a suite of 7 if-then rules to evaluate potential heart palpitations causes and assign one of three outcomes: 1) A confirmed diagnosis of heart palpitations, (...) 2) A suspected link to cardiovascular diseases, and 3) A possible association with anxiety or stress disorders. The expert system offers an intuitive user interface, allowing for seamless symptom input and instant diagnosis based on user-provided information. This paper explores the various phases of this expert system's lifecycle, including design, implementation, and evaluation. Furthermore, the study situates the system within the broader discourse on rule-based expert systems for heart palpitations diagnosis, critically analyzing their efficiency, potential pitfalls, and ongoing challenges. Through this research, the value of integrating rule-based expert systems in clinical diagnostic processes is highlighted, illustrating its capacity to enhance diagnostic accuracy and patient outcomes. (shrink)

Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical history, (...) and other relevant clinical information. The proposed expert system presents an overview about vertigo diseases are given, the cause of disease is outlined and the treatment or recommendation of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. The potential of the proposed expert system lies in its ability to enhance the accuracy and efficiency of vertigo diagnosis, as well as assist in the proper referral and management of patients. (shrink)

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

"Procedural Justice" offers a theory of procedural fairness for civil dispute resolution. The core idea behind the theory is the procedural legitimacy thesis: participation rights are essential for the legitimacy of adjudicatory procedures. The theory yields two principles of procedural justice: the accuracy principle and the participation principle. The two principles require a system of procedure to aim at accuracy and to afford reasonable rights of participation qualified by a practicability constraint. The Article begins in Part I, Introduction, (...) with two observations. First, the function of procedure is to particularize general substantive norms so that they can guide action. Second, the hard problem of procedural justice corresponds to the following question: How can we regard ourselves as obligated by legitimate authority to comply with a judgment that we believe (or even know) to be in error with respect to the substantive merits? The theory of procedural justice is developed in several stages, beginning with some preliminary questions and problems. The first question - what is procedure? - is the most difficult and requires an extensive answer: Part II, Substance and Procedure, defines the subject of the inquiry by offering a new theory of the distinction between substance and procedure that acknowledges the entanglement of the action-guiding roles of substantive and procedural rules while preserving the distinction between two ideal types of rules. The key to the development of this account of the nature of procedure is a thought experiment, in which we imagine a world with the maximum possible acoustic separation between substance and procedure. Part III, The Foundations of Procedural Justice, lays out the premises of general jurisprudence that ground the theory and answers a series of objections to the notion that the search for a theory of procedural justice is a worthwhile enterprise. Sections II and III set the stage for the more difficult work of constructing a theory of procedural legitimacy. Part IV, Views of Procedural Justice, investigates the theories of procedural fairness found explicitly or implicitly in case law and commentary. After a preliminary inquiry that distinguishes procedural justice from other forms of justice, Part IV focuses on three models or theories. The first, the accuracy model, assumes that the aim of civil dispute resolution is correct application of the law to the facts. The second, the balancing model, assumes that the aim of civil procedure is to strike a fair balance between the costs and benefits of adjudication. The third, the participation model, assumes that the very idea of a correct outcome must be understood as a function of process that guarantees fair and equal participation. Part IV demonstrates that none of these models provides the basis for a fully adequate theory of procedural justice. In Part V, The Value of Participation, the lessons learned from analysis and critique of the three models are then applied to the question whether a right of participation can be justified for reasons that are not reducible to either its effect on the accuracy or its effect on the cost of adjudication. The most important result of Part V is the Participatory Legitimacy Thesis: it is (usually) a condition for the fairness of a procedure that those who are to be finally bound shall have a reasonable opportunity to participate in the proceedings. The central normative thrust of Procedural Justice is developed in Part VI, Principles of Procedural Justice. The first principle, the Participation Principle, stipulates a minimum (and minimal) right of participation, in the form of notice and an opportunity to be heard, that must be satisfied (if feasible) in order for a procedure to be considered fair. The second principle, the Accuracy Principle, specifies the achievement of legally correct outcomes as the criterion for measuring procedural fairness, subject to four provisos, each of which sets out circumstances under which a departure from the goal of accuracy is justified by procedural fairness itself. In Part VII, The Problem of Aggregation, the Participation Principle and the Accuracy Principle are applied to the central problem of contemporary civil procedure - the aggregation of claims in mass litigation. Part VIII offers some concluding observations about the point and significance of Procedural Justice. (shrink)

Perspectival realism combines two apparently contradictory aspects: the epistemic relativity of perspectives and the mind-independence of realism. This paper examines the prospects for a coherent perspectival realism, taking the literature on scientific representation as a starting point. It is argued that representation involves two types of norms, referred to as norms of relevance and norms of accuracy. Norms of relevance fix the domain of application of a theory and the way it categorises the world, and norms of accuracy (...) give the conditions for the theory to be true. Perspectival realism could be made coherent by taking a realist stance towards one type of norm, and a perspectival stance towards the other, by assuming they are relative to a community. This provides two versions of perspectival realism, called relevance perspectivism and accuracy perspectivism. How each option fares with respect to the challenge of incompatible models is examined. Finally, the prospects of full perspectivism are evaluated. (shrink)

In the literature on expert trust, it is often assumed that track records are the gold standard for evaluating expertise, and the difficulty of expert identification arises from either the lack of access to track records, or the inability to assess them. I show, using a computational model, that even in an idealized environment where agents have a God’s eye view on track records, they may fail to identify experts. Under plausible conditions, selecting testimony based on track records ends (...) up reducing overall accuracy, and preventing the community from identifying the real experts. (shrink)

Game theorists tend to model climate negotiations as a so-called ‘tragedy of the commons’. This is rather worrisome, since the conditions under which such commons problems have historically been solved are almost entirely absent in the case of international greenhouse gas emissions. In this paper, I will argue that the predictive accuracy of the tragedy model might not stem from the model’s inherent match with reality but rather from the model’s ability to make self-fulfilling predictions. I then sketch (...) some possible ways to dispel the tragedy, including (1) recognizing some ways the assumptions of the model fail, (2) taking seriously recent work suggesting that increasing greenhouse gas emissions is not in most nations’ own self-interest, and (3) preferring alternative models like collective risk dilemmas, bargaining games, or cooperative models. (shrink)

We often remember in the company of others. In particular, we routinely collaborate with friends, family, or colleagues to remember shared experiences. But surprisingly, in the experimental collaborative recall paradigm, collaborative groups remember less than their potential, an effect termed collaborative inhibition. Rajaram and Pereira-Pasarin (2010) argued that the effects of collaboration on recall are determined by “pre-collaborative” factors. We studied the role of 2 pre-collaborative factors—shared encoding and group relationship—in determining the costs and benefits of collaborative recall. In Experiment (...) 1, we compared groups of strangers who encoded alone versus together, before collaborating to recall. In Experiment 2, we compared groups of friends who encoded alone versus together, before collaborating to recall. We found that shared encoding abolished collaborative inhibition in both Experiments 1 and 2. But prior relationship did not influence collaborative inhibition over and above the effects of shared encoding. Regardless of encoding condition, collaborative group recall contained fewer intrusions than nominal group recall, and these benefits continued in subsequent individual recall. Our findings demonstrate that pre-collaborative factors—specifically shared encoding—have flow-on benefits for group and individual recall amount, but not recall accuracy. We discuss these findings in terms of self- and cross-cuing in collaborative recall. (shrink)

Confirmational holism is at odds with Jeffrey conditioning --- the orthodox Bayesian policy for accommodating uncertain learning experiences. Two of the great insights of holist epistemology are that (i) the effects of experience ought to be mediated by one's background beliefs, and (ii) the support provided by one's learning experience can and often is undercut by subsequent learning. Jeffrey conditioning fails to vindicate either of these insights. My aim is to describe and defend a new updating policy that does better. (...) In addition to showing that this new policy is more holism-friendly than Jeffrey conditioning, I will also show that it has an accuracy-centered justification. (shrink)

This dissertation begins by addressing the question of when a causal model is apt for deciding questions of actual causation with respect to some target situation. I first provide relevant background about causal models, explain what makes them promising as a tool for analyzing actual causation, and motivate the need for a theory of aptness as part of such an analysis (Chapter 1). I then define what it is for a model on a given interpretation to be accurate of, that (...) is, say only true things about, some target situation. This involves a systematization of various representational principles mentioned and/or discussed throughout the literature into a method of interpretation, which I propose be taken as standard (Chapter 2). Next, I explain and address two reasons for which accuracy as I’ve defined it is insufficient for aptness. The first reason – already discussed in the literature – is the problem of structural isomorphs. In response, I propose the aptness condition of Explicit Partial Mediation (Chapter 3). The second reason – which has yet to be noticed – is the problem of the indeterminacy of accuracy. As I demonstrate, a model is accurate of a target situation only relative to a set of background possibilities – what I call a modal profile. It follows that a model represents a situation only relative to some modal profile or other. I go on to discuss the ramifications of this observation for a theory of actual causation in terms of models. I argue that the relativity be taken at face value and built into our metaphysical account of causation, resulting in a view that I call causal relativism (Chapter 4). I explore one advantage of this view in detail: that the resulting account can defend the principle of strong proportionality against several objections (Chapter 5). Finally, I apply the earlier discussion of aptness to attempts to provide a semantics of counterfactuals in terms of causal models – an interventionist semantics. I show how just as a similarity semantics relies on an opaque notion of similarity, an interventionist semantics relies on an analogous notion of aptness. The challenge of articulating aptness thus undermines the claim that an interventionist semantics avoids representational problems inherent in a similarity semantics (Chapter 6). I close with a recap and suggestions for future research (Chapter 7). -/- . (shrink)

According to the traditional Bayesian view of credence, its structure is that of precise probability, its objects are descriptive propositions about the empirical world, and its dynamics are given by conditionalization. Each of the three essays that make up this thesis deals with a different variation on this traditional picture. The first variation replaces precise probability with sets of probabilities. The resulting imprecise Bayesianism is sometimes motivated on the grounds that our beliefs should not be more precise than the evidence (...) calls for. One known problem for this evidentially motivated imprecise view is that in certain cases, our imprecise credence in a particular proposition will remain the same no matter how much evidence we receive. In the first essay I argue that the problem is much more general than has been appreciated so far, and that it’s difficult to avoid without compromising the initial evidentialist motivation. The second variation replaces descriptive claims with moral claims as the objects of credence. I consider three standard arguments for probabilism with respect to descriptive uncertainty—representation theorem arguments, Dutch book arguments, and accuracy arguments—in order to examine whether such arguments can also be used to establish probabilism with respect to moral uncertainty. In the second essay, I argue that by and large they can, with some caveats. First, I don’t examine whether these arguments can be given sound non-cognitivist readings, and any conclusions therefore only hold conditional on cognitivism. Second, decision-theoretic representation theorems are found to be less convincing in the moral case, because there they implausibly commit us to thinking that intertheoretic comparisons of value are always possible. Third and finally, certain considerations may lead one to think that imprecise probabilism provides a more plausible model of moral epistemology. The third variation considers whether, in addition to conditionalization, agents may also change their minds by becoming aware of propositions they had not previously entertained, and therefore not previously assigned any probability. More specifically, I argue that if we wish to make room for reflective equilibrium in a probabilistic moral epistemology, we must allow for awareness growth. In the third essay, I sketch the outline of such a Bayesian account of reflective equilibrium. Given that this account gives a central place to awareness growth, and that the rationality constraints on belief change by awareness growth are much weaker than those on belief change by conditionalization, it follows that the rationality constraints on the credences of agents who are seeking reflective equilibrium are correspondingly weaker. (shrink)

Brief, unfinished draft of a proposal for a novel and demanding, yet arguably well motivated, necessary condition for justified credence.

The objective of the current paper is to provide a critical analysis of Dretske's defense of the naturalistic version of the privileged accessibility thesis. Dretske construed that the justificatory condition of privileged accessibility neither relies on the appeal to perspectival ontology of phenomenal subjectivity nor on the functionalistic notion of accessibility. He has reformulated introspection (which justifies the non-inferentiality of the knowledge of one's own mental facts in an internalist view) as a displaced perception for the defense of naturalistic privileged (...) accessibility. Both internalist and externalist have been approved the plausibility of first-person authority argument through privileged accessibility; however, their disagreement lies on the justificatory condition of privileged accessibility. Internalist hold the view that the justificatory warrant for privileged accessibility is grounded on phenomenal subjectivity. In contrast to the internalist view, externalists uphold the view that the justificatory condition for privileged accessibility lies outside the domain of phenomenal subjectivity. As a proponent of naturalistic content externalism, Dretske defends the view that subject's privileged accessibility is not due to having access to the particular representational state (hence, they have the privilege of getting sensory representational information) and the awareness of mental fact rather the awareness of the whole representational mechanism. Having the knowledge of a particular representational state through privileged access is not the sufficient condition for the accuracy of knowledge about one’s own mental facts. The justificatory warrant lies external to the subject. Even though Dretske’s naturalistic representation is not plausible enough while dealing with the reduction of phenomenal qualities of experience, however, provides a new roadmap to compatibilists for the defense of privileged accessibility and has a major impact on transparency theorists. (shrink)

Recent advances in neuroimaging technologies have rendered multimodal analysis of operators’ cognitive processes in complex task settings and environments increasingly more practical. In this exploratory study, we utilized optical brain imaging and mobile eye tracking technologies to investigate the behavioral and neurophysiological differences among expert and novice operators while they operated a human-machine interface in normal and adverse conditions. In congruence with related work, we observed that experts tended to have lower prefrontal oxygenation and exhibit gaze patterns that are (...) better aligned with the optimal task sequence with shorter fixation durations as compared to novices. These trends reached statistical significance only in the adverse condition where the operators were prompted with an unexpected error message. Comparisons between hemodynamic and gaze measures before and after the error message indicated that experts’ neurophysiological response to the error involved a systematic increase in bilateral dorsolateral prefrontal cortex (dlPFC) activity accompanied with an increase in fixation durations, which suggests a shift in their attentional state, possibly from routine process execution to problem detection and resolution. The novices’ response was not as strong as that of experts, including a slight increase only in the left dlPFC with a decreasing trend in fixation durations, which is indicative of visual search behavior for possible cues to make sense of the unanticipated situation. A linear discriminant analysis model capitalizing on the covariance structure among hemodynamic and eye movement measures could distinguish experts from novices with 91% accuracy. Despite the small sample size, the performance of the linear discriminant analysis combining eye fixation and dorsolateral oxygenation measures before and after an unexpected event suggests that multimodal approaches may be fruitful for distinguishing novice and expert performance in similar neuroergonomic applications in the field. (shrink)

Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book and accuracy arguments. These arguments assume that rationality requires agents to maximize practical or epistemic value in every doxastic state, which is evaluated from a subjective point of view (e.g., the agent’s expectancy of value). The accuracy arguments also presuppose that agents are opinionated. The goal of this paper is to discuss the assumptions of these arguments, including the measure of epistemic value. I have designed AI (...) agents based on the Bayesian model and a nonmonotonic framework and tested how they achieve practical and epistemic value in conditions in which an alternative set of assumptions holds. In one of the tested conditions, the nonmonotonic agent, which is not opinionated and fulfills neither probabilism nor conditionalization, outperforms the Bayesian in the measure of epistemic value that I argue for in the paper (α-value). I discuss the consequences of these results for the epistemology of rationality. (shrink)

Tracking technology has been heralded as transformative for animal ecology. In this paper I examine what changes are taking place, showing how current animal movement research is a field ripe for philosophical investigation. I focus first on how the devices alter the limitations and biases of traditional field observation, making observation of animal movement and behaviour possible in more detail, for more varied species, and under a broader variety of conditions, as well as restricting the influence of human presence (...) and observer bias. I reconstruct these as shifts in scope, objectivity, accuracy and fruitfulness. The second transformation is slightly less obvious but equally significant for animal ecology. Tracking devices generate complex data that demands both statistical and biological expertise, which has led to increasingly frequent and intensive collaborations between statisticians and biologists. Based on interviews, I examine how researchers in these interdisciplinary collaborations negotiate the collection, analysis and interpretation of movement data, integrating research interests, methodological constraints, previous field observations, and background theory. Tracking technology is therefore also shifting which disciplinary considerations are brought to bear on research into animal movement and behaviour and how this research is conducted. (shrink)

The research has three objectives: 1) to study the concept of Heisenberg’s uncertainty principle, 2) to study the concept of reality and knowledge in Buddhist philosophy, and 3) to analyze the concept of Heisenberg’s uncertainty principle in Buddhist philosophical perspective. This is documentary research. In this research, it was found that Heisenberg's uncertainty principle refers to the experiment of thought while studying physical reality on smaller particles than atoms where at the present no theory of Physics can clearly explain such (...) properties. In this respect, the mentioned principle is utilized to predict the pairs of a certain attribute of physics, position, and momentum, for instance. The accuracy of position, however, cannot be precisely yielded in advance by such a principle. In other words, it is impossible to measure the position and momentum of a quantum particle at the same time. In the study of the ultimate reality on the matter in the Buddhist philosophy, it showed that corporeality in nature is conditioned by cause and effect and thereby falling under the three common characteristics: 1) impermanence, 2) state of suffering, and 3) state of non-substantiality. In the study of Heisenberg’s uncertainty principle in the Buddhist philosophical perspective, this research was found that the processes in acquiring certain knowledge of Heisenberg and Buddhist philosophy are by one another in the sense that such knowledge is methodologically acquired through experience, rationality, and intuition because both see the Reality in the same manners, that is, the physical reality is viewed by Heisenberg as the thing that goes under changing state of wave-particle all the times, and the matter is seen by Buddhist philosophy as the impermanence and change depending upon its factors involved and thereby is not-self. However, in the different aspect, on the one hand, Buddhist philosophy utilizes the knowledge on the matter to develop the morality and ethics by which the cessation of suffering could be respectively made, but on the other hand, Heisenberg somehow applies the certain knowledge on physical objects into quantum technology to accommodate the physical comfortability in living life. Suggestions in the application of knowledge gained from this research into benefit were that while Buddhist philosophy can make use of Heisenberg’s uncertainty principle to provide certain help at the time of explanation of three common characteristics being done through the scientific method, science also can utilize knowledge gained from Buddhist philosophy to expand the framework of scientific knowledge which is aimed at studying only the physical objects to be able to study the mental objects through the integration of three epistemological methods as well. (shrink)

Philosophers are now wary of conflating the “fittingness” or accuracy of an emotion with any form of moral assessment of that emotion. Justin D’Arms and Daniel Jacobson, who originally cautioned against this “conflation”, also warned philosophers not to infer that an emotion is inaccurate from the fact that feeling it would be morally inappropriate, or that it is accurate from the fact that feeling it would be morally appropriate. Such inferences, they argue, risk committing “the moralistic fallacy”, a mistake (...) they claim is widespread throughout the work of contemporary and historical moral philosophers. I argue that many basic and familiar forms of moral assessment of the emotions are not subject to these arguments. I illustrate this by reconsidering the idea that to assess an emotion as “fitting” is to assess it as what a virtuous person would feel. After showing how assessments akin to this “virtue-theoretical” notion of fit may be prevalent even outside of the Aristotelian tradition, I suggest some more charitable and philosophically productive interpretations of the philosophical views of the emotions that D’Arms and Jacobson criticize, and argue that we cannot coherently theorize about the fittingness conditions of the emotions in a morally neutral way. (shrink)