The review first discusses componential explanations of automaticity, which specify non/automaticity features (e.g., un/controlled, un/conscious, non/efficient, fast/slow) and their interrelations. Reframing these features as factors that influence processes (e.g., goals, attention, and time) broadens the range of factors that can be considered (e.g., adding stimulus intensity and representational quality). The evidence reviewed challenges the view of a perfect coherence among goals, attention, and consciousness, and supports the alternative view that (a) these and other factors influence the quality of (...) representations in an additive way (e.g., little time can be compensated by extra attention or extra stimulus intensity) and that (b) a first threshold of this quality is required for unconscious processing and a second threshold for conscious processing. The review closes with a discussion of causal explanations of automaticity, which specify factors involved in automatization such as repetition and complexity, and a discussion of mechanistic explanations, which specify the low-level processes underlying automatization. (shrink)

Habitual action would still be a tremendously pervasive feature of our agency. And yet, references to habitual action have been marginal at best in contemporary philosophy of action. This neglect is due, at least, to the combination of two ideas. The first is a widespread view of habit as entirely automatic, inflexible, and irresponsive to reasons. The second is philosophy of action’s tendency (dominant at least since Anscombe and Davidson) to focus on explaining action by reference to reasons. Arguably, if (...) habitual behavior is reasons-irresponsive, and if action is explained by reference to reasons, the study of habit would have very little to teach about action. Recently, however, there has been a surge in philosophical interest on habit and habitual action. Novel approaches are challenging the two ideas mentioned above, arguing that (1) habitual behavior is not entirely automatic or inflexible, but instead has a particular kind of flexibility and intentionality; and that (2) acting out of habit can count as a form of acting for reasons, even in the absence of the traditional rationalizing mental states: belief, desire, and intention. -/- The essays contained in this issue move discussions forward in exciting new directions. In what follows we present each paper and situate it within its broader theoretical context, so that this introduction may serve also as an introduction to the topic of habitual action. A crucial lesson that emerges from these essays is a need to move past disputes between philosophical schools or traditions. Rather than combatting between different philosophical factions, an ecumenical approach capable of skillfully bringing together elements from different traditions seems better able to tackle problems that remain unsolved. These problems include (but are not limited to): developing an account of responsibility for habitual action; explaining our ability to perform joint habitual actions; and clarifying the link between habit and self-control. (shrink)

This dissertation is a contribution to the field of empirically informed metaethics, which combines the rigorous conceptual clarity of traditional metaethics with a careful review of empirical evidence. More specifically, this work stands at the intersection of moral psychology, moral epistemology, and philosophy of action. The study comprises six chapters on three distinct (although related) topics. Each chapter is structured as an independent paper and addresses a specific open question in the literature. The first part concerns the psychological features and (...) cognitive function of moral intuition. Chapter 1 (“Moral intuition, strength, and metacognition”) is focused on the concept of intuitive strength, which is one of the defining features of moral intuition. I provide a metacognitive account of intuitive strength and show why such a view is preferable to emotional or quasi-perceptual accounts. Then, in Chapter 2 (“Dual process reflective equilibrium”), I will discuss the interplay between intuition and reflection in moral reasoning. I will contend that the influential “default-interventionist” model of reasoning, theorized by Greene, is insufficiently supported by the evidence. In light of some recent studies, I outline an account of moral reasoning in which intuition and reflection are not in conflict but cooperate to reach a reflective goal. I call this model dual process reflective equilibrium. The aim of the first part is descriptive, i.e., it argues for an accurate understanding of moral intuition and reasoning in light of the available empirical evidence. In contrast, the second part addresses a normative question: is a subject epistemically justified in forming a belief on the basis of a moral intuition? Skeptics of moral intuition argue that accepting moral intuitions should be the exception rather than the rule to the extent that epistemically defective processes determine the content of moral intuitions. Chapter 3 (“Moral intuitionism and the reliability challenge”) introduces the recent empirical challenges to the reliability of moral intuitions and elaborates a promising strategy for defending intuitionism. In short, I consider whether subjects can track the reliability of their intuitions with their confidence. In Chapter 4 (“The argument from limited cognitive resources”), I evaluate a different strategy to defend moral intuitionism. Specifically, I develop an argument according to which accepting moral intuitions is legitimate because it is the most rational option that a subject has, given her limited resources. The third and final part of the dissertation concerns the role of moral intuitions in action. The influence of automatic processes on moral conduct raises different challenges to moral philosophy. The first challenge is to explain how a subject can be motivated by certain values without the mental effort of deliberation. Chapter 5 (“Caring, moral motivation, and automatic conduct”) tackles this issue. Chapter 6 (“Moral sensitivity as skillful automaticity”) aims to explain how moral agents can be sensitive to good reasons through automatic mental processes. (shrink)

The condition of ‘genuine perceptual synaesthesia’ has been a focus of attention in research in psychology and neuroscience over the last decades. For subjects in this condition stimulation in one modality automatically and consistently over the subject’s lifespan triggers a percept in another modality. In hearing→colour synaesthesia, for example, a specific sound experience evokes a perception of a specific colour. In this paper, I discuss questions and challenges that the phenomenon of synaesthetic experience raises for theories of perceptual experience in (...) general, and for theories thatsee the content and modality of conscious experience as being constituted and determined by the active and skilful exploration of the environment in particular. The focus of my paper will be on the latter, ‘enactive’ view of perception and its theory of what determines the modality-specific ‘feel’ of a perceptual experience. (shrink)

This paper offers a "tu quoque" defense of strong AI, based on the argument that phenomena of self-consciousness and intentionality are nothing but the "negative space" drawn around the concrete phenomena of brain states and causally connected utterances and objects. Any machine that was capable of concretely implementing the positive phenomena would automatically inherit the negative space around these that we call self-consciousness and intention. Because this paper was written for a literary audience, some examples from Greek tragedy, noir fiction, (...) science fiction and Dada are deployed to illustrate the view. (shrink)

In this chapter, we will offer a sketch of the state of the art as concerns existing accounts of virtue acquisition in relation to automaticity. In particular, we will focus on the so-called “skill model,” which we aim to improve by questioning its rather common underlying dualistic picture of the mind. Then we will propose an account of skillful emotions by identifying the features that make them both automatic and embedded in an intelligent practice. Finally, we will show how (...) this view can help the skill model by offering a better description of emotion shaping in virtue acquisition. By doing so, we will contend that emotions contribute autonomously and actively to the skillfulness of the habits in which they are embedded. (shrink)

Thinking is overrated: golfers perform best when distracted and under pressure; firefighters make the right calls without a clue as to why; and you are yourself ill advised to look at your steps as you go down the stairs, or to try and remember your pin number before typing it in. Just do it, mindlessly. Both empirical psychologists and the common man have long worked out that thinking is often a bad idea, but philosophers still hang on to an intellectualist (...) picture of human action. This book challenges that picture and calls on philosophers to wake up to the power of mindlessness: it is our habits, skills and conventions that help us cope with a world way too diverse for us to hope to always reinterpret it. The book presents the empirical evidence that has been accumulating over the last few decades and offers a philosophical analysis of mindless phenomena such as habits, skilled activity, automatic actions, emotional and spontaneous reactions and social conventions, arguing that traditional philosophical theories of action should be revised to do justice to this forgotten but important part of our lives: when we act mindlessly, we are free and fully rational even though we neither deliberate nor are aware of what we are doing. (shrink)

Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...) by diverse research groups in the recent past. However, yet effective and comprehensive deep ensemble neural network-based classification model with high accuracy classification results is not available in the literature. In this thesis, we review ways and mechanisms to use deep learning techniques to research on multi-disease computer-aided detection about gastrointestinal and identify these images. We re-trained five state-of-the-art neural network architectures, VGG16, ResNet, MobileNet, Inception-v3, and Xception on the Kvasir dataset to classify eight categories that include an anatomical landmark (pylorus, z-line, cecum), a diseased state (esophagitis, ulcerative colitis, polyps), or a medical procedure (dyed lifted polyps, dyed resection margins) in the Gastrointestinal Tract. Our models have showed results with a promising accuracy which is a remarkable performance with respect to the state-of-the-art approaches. The resulting accuracies achieved using VGG, ResNet, MobileNet, Inception-v3, and Xception were 98.3%, 92.3%, 97.6%, 90% and 98.2%, respectively. As it appears, the most accurate result has been achieved when retraining VGG16 and Xception neural networks with accuracy reache to 98% due to its high performance on training on ImageNet dataset and internal structure that support classification problems. (shrink)

The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...) naming of genes, proteins, and other molecular structures, considerable efforts are under way to reduce the effects of the different naming conventions which have been spawned by different groups of researchers. Electronic patient records, too, increasingly involve the use of standardized terminologies, and tremendous efforts are currently being devoted to the creation of terminology resources that can meet the needs of a future era of personalized medicine, in which genomic and clinical data can be aligned in such a way that the corresponding information systems become interoperable. (shrink)

The chapter juxtaposes the fairly quick and automatic thinking and decision making that constitutes everyday moral thought and action with the slower, more complicated, and more reflective thinking that steps beyond everyday moral thought. Various difficulties that can slow down everyday moral thought are catalogued in this paper. The paper explains how dealing with many of these difficulties leads to thinking about moral principles. And, even where there are not such difficulties, everyday moral thought can be challenged by repeated “why?” (...) questions. Pushed far enough, such questions have to be answered by admitting ignorance or by pointing to theses about whatever ultimately makes acts morally required, permissible, or prohibited. Such theses are moral theories. As a point about moral theories, the paper ends by pointing out a respect in which everyday moral thought is more like rule-consequentialism, contractualism, foundational pluralism, and virtue ethics than everyday moral thought is like traditional act-consequentialism. (shrink)

The automatic integration of information resources in the life sciences is one of the most challenging goals facing biomedical informatics today. Controlled vocabularies have played an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources secure in the knowledge that the same terms will also represent the same entities on all occasions of use. One of the most impressive achievements in this regard is the Gene Ontology (GO), which is rapidly acquiring the (...) status of a de facto standard in the field of gene and gene product annotations, and whose methodology has been much intimated in attempts to develop controlled vocabularies for shared use in different domains of biology. The GO Consortium has recognized, however, that its controlled vocabulary as currently constituted is marked by several problematic features - features which are characteristic of much recent work in bioinformatics and which are destined to raise increasingly serious obstacles to the automatic integration of biomedical information in the future. Here, we survey some of these problematic features, focusing especially on issues of compositionality and syntactic regimentation. (shrink)

In this Introduction, I identify seven discrete aspects of attention brought to the fore by by considering the phenomenon of effortless attention: effort, decision-making, action syntax, agency, automaticity, expertise, and mental training. For each, I provide an overview of recent research, identify challenges to or gaps in current attention theory with respect to it, consider how attention theory can be advanced by including current research, and explain how relevant chapters of this volume offer such advances.

Philosophers and scientists have across the ages been amazed about the fact that development and learning often lead to not just a merely incremental and gradual change in the learner but sometimes to a result that is strikingly different from the learner’s original situation: amazed, but at times also worried. Both philosophical and cognitive neuroscientific insights suggest that experts appear to perform ‘different’ tasks compared to beginners who behave in a similar way. These philosophical and empirical perspectives give some insight (...) into what happens when a novice is transitioning to a stage of expertise. Generally, this implies that increased skill and expertise support better results and a more flexible performance, in part because these allow an agent to withdraw part of her attention and other cognitive resources from the tasks involved, enabling her to devote those resources to supporting, or completely different, tasks. As positive as these developments appear, these changes have also raised concerns. The main concern is whether gaining expertise is like raising a ‘cognitive monster’ which escapes the individual’s conscious control and influences her actions with undesirable automatisms. If so, we should ask ourselves whether experts are capable of taming this monster. The answer appears initially not to be positive. Indeed, it has been noted that since it is difficult for experts to withhold automatic responses this can lead to inflexibility or performance that is only optimal under certain conditions, because it is limited to a specific domain, often context-dependent, biased and inflexible. In what follows, I will consider this challenge of protecting expertise and harnessing this brittleness from philosophical and cognitive neuroscientific perspectives. Taking into account that action is in general determined by a multitude of factors, with learning and development affecting how these factors exert their influence, a philosophical question is how this complex and dynamic process can be explained and subsequently, how controlling it might be understood. First, though, I will present the issue at hand more closely: should we appreciate expertise if it is similar to growing a ‘cognitive monster’? Second, I will introduce the framework of a “Sculpted Space of Actions” (Keestra, 2014), which I developed in order to explain how the challenge of selecting an adequate option for action is facilitated by expertise as it helps to constrain the space of potential action options. Subsequently, the question is raised of how such a Sculpted Space of Actions influences an expert’s engagement with specific situations, like teaching students in a classroom setting. It will be argued that a well prepared expert—teacher or otherwise— is not only able to rely upon her routines but will at the same time be more perceptive and attentive to unforeseen events and actions, according to the recent cognitive neuroscientific theory of Predictive Processing. Integrating the theory of Predictive Processing with the Sculpted Space of Actions framework, I conclude that expertise contributes to adaptive and flexible responses to specific contexts, yet only if it is associated with explicit planning and articulation of situation specific intentions—the latter effectively putting the cognitive monster at rest for a while. (shrink)

A recent skeptical challenge denies deliberation is essential to virtuous agency: what looks like genuine deliberation is just a post hoc rationalization of a decision already made by automatic mechanisms (Haidt 2001; Doris 2015). Annas’s account of virtue seems well-equipped to respond: by modeling virtue on skills, she can agree that virtuous actions are deliberation-free while insisting that their development requires significant thought. But Annas’s proposal is flawed: it over-intellectualizes deliberation’s developmental role and under-intellectualizes its significance once virtue is (...) acquired. Doing better requires paying attention to a distinctive form of anxiety—one that functions to engage deliberation in the face of decisions that automatic mechanisms alone cannot resolve. (shrink)

Epistemologists have widely accepted that truth, justification, and belief are necessary conditions for knowledge. This article challenges the necessity of the two components, “belief” and “justification”, in the definition of knowledge. It argues that belief is distinct from knowledge; belief is an act of will, whereas knowledge is acquired automatically. One may possess knowledge without being actively willing to believe it, and conversely, one may will to believe something without actually knowing it. Additionally, justification should be seen as a method (...) of validating knowledge, not a fundamental part of its definition. Therefore, knowledge without justification remains knowledge, even though its truth cannot be proven. Building on this perspective, the proposed definition of knowledge shifts to “awareness or recognition of facts.” According to this definition, the Gettier problem and the lottery paradox find alternative solutions. (shrink)

A recent challenge to statist arguments defending the right of states to exclude prospective immigrants maintains that such statist arguments prove too much. Specifically, the challenge argues that statist arguments, insofar as they are correct, entail that states may permissibily exclude current members' newcomers by birth, which seems to violate a widely held intuition that members' newcomers by birth ought automatically to be granted membership rights. The basic claim is that statist arguments cannot account for the differntial treatment (...) between prospective immigrants and newcomers by birth. Call this the newcomer-by-birth objection. This article rejects the newcomer-by-birth rejection. It begins by sketching the precise extent to which the objection applies to statist arguments. It then examines the case of newcomers by birth and argues for a principled basis for treating them differentially from prospective immigrants such that a right to exclude prospective immigrants need not entail a right to exclude newcomers by birth. But this distinction holds only in most cases, not all, and therefore the newcomer-by-birth objection is not entirely defeated. With respect to the cases in which the objection does hold, it is argued that such cases are morally akin to international adoption, and thus morally benign. All considered, statist arguments easily survive the newcomer-by-birth objection. (shrink)

Server-less computing, also known as Function as a Service (FaaS), revolutionizes cloud architecture by allowing developers to focus on code and functionality without managing underlying infrastructure. This paradigm enhances resource management efficiency by dynamically allocating resources only when needed, thus optimizing cost and performance. Server-less models, epitomized by platforms like AWS Lambda, Google Cloud Functions, and Azure Functions, provide automatic scaling and fine-grained billing, making them ideal for applications with variable workloads. While challenges such as cold start latency and complex (...) debugging exist, the benefits of server-less computing—including cost savings, simplified deployment, and accelerated innovation—make it a transformative approach in the cloud computing landscape. This paper explores the principles, benefits, challenges, and practical applications of server-less computing in modern cloud architectures, highlighting its potential to drive efficiency and innovation. (shrink)

Recent empirical research has substantiated the finding that very many of us harbour implicit biases: fast, automatic, and difficult to control processes that encode stereotypes and evaluative content, and influence how we think and behave. Since it is difficult to be aware of these processes - they have sometimes been referred to as operating 'unconsciously' - we may not know that we harbour them, nor be alert to their influence on our cognition and action. And since they are difficult to (...) control, considerable work is required to prevent their influence. We here focus on the implications of these findings for epistemology. We first look at ways in which implicit biases thwart our knowledge seeking practices (sections 1 & 2). Then we set out putative epistemic benefits of implicit bias, before considering ways in which epistemic practices might be improved (section 3). Finally, we consider the distinctive challenges that the findings about implicit bias pose to us as philosophers, in the context of feminist philosophy in particular (section 4). (shrink)

This paper examines the Stoic account of apprehension (κατάληψις) (a cognitive achievement similar to how we typically view knowledge). Following a seminal article by Michael Frede (1983), it is widely thought that the Stoics maintained a purely externalist causal account of apprehension wherein one may apprehend only if one stands in an appropriate causal relation to the object apprehended. An important but unanswered challenge to this view has been offered by David Sedley (2002) who offers reasons to suppose that (...) the Stoics (or at least Zeno, the founder of the Stoa) did not make such a causal stipulation. I offer a defence of the traditional, causal reading against the challenges raised by Sedley but also argue, against the traditional view, that the Stoic account incorporated an internalist element. On the hybrid account defended here, in order to apprehend not only must the agent stand in an appropriate causal relation to the object apprehended but the agent’s appearance of the object must also be clear (a feature which is accessible to the epistemic agent). The traditional scholarly view rejects internalist interpretations because it is thought that such interpretations cannot make sense of the Stoics’ discussion of the ‘automatic assent’ produced by kataleptic appearances and a purely externalist view is taken to be charitable insofar as it saves the Stoics from a vicious regress which they would otherwise face (were they internalists). I spell out how the regress might be taken to function and defend an internalist interpretation against both these charges. The internalist element embraced by the Stoics does not lead to the problems it is often thought to and the account defended here not only does justice to the textual evidence but also sheds light on the Stoic debates with their sceptical opponents and grants the Stoics an epistemic account fit for purpose. (shrink)

Largely aided by the neurological discovery of so-called “ mirror neurons,” the attention to motor activity during action observation has exploded over the last two decades. The idea that we internally “ mirror ” the actions of others has led to a new strand of implicit simulation theories of action understanding[1][2]. The basic idea of this sort of simulation theory is that we, via an automatic covert activation of our own action representations, can understand the action and possibly the goal (...) and/or intentions of the observed agent. In this way motor “simulation” is seen as the basis for low-level “mind-reading”; i.e. for the ascription of goals and intentional mental states to others. The thought is that one, through mirroring simulations, can get beyond the observable behaviour to the hidden minds of others. I am questioning the idea of an exclusively “mirroring” role of the motor system in social perception, which is tacitly assumed in this sort of simulation theories. Is motor activity during action observation really primarily a simulation, a detailed “echo” of the others action? My point is not that we never simulate what we observe, but rather to question whether such processes are representative of the overall motor contribution to social cognition. More and more studies on the functional properties of mirror neurons and motor facilitation during perception points to a more complex role of the motor system in action perception. Recently, several proposals have been made attempting to reinterpret and critique the function of motor activity in social situations. I shall here briefly touch on a few of these and sketch parts of my own alternative “social affordance” hypothesis of the sensorimotor contribution to social perception. By way of these analyses I highlight how traditional discussions are marred by problematic theoretical assumptions. It seems to me that we need a thorough reinterpretation not just of mirror neurons and mirroring, but also of what we take motor and social cognition to be. In my view the details of the sensorimotor findings underline the need to move beyond the simplistic idea of the motor system as a unitary output system. In terms of social cognition I question the traditional focus on hidden mental states. I suggest that the motor contribution might have more to do with understanding the process of how others choose their actions, navigate the world and relate to others than with simulating specific actual actions or mental states. I conclude that low-level simulation theories, which see the motor role in social perception as passive “mirroring,” are faced with serious empirical challenges, and that the motor system serve a much more proactive and complex cognitive role in social perception and interaction than previously thought. But my claim is also that many empirical tensions have slipped out of focus due to entrenched theoretical assumptions. Narrow theoretical expectations have marked not only the interpretations but the research itself and I propose that we are in dire need of more studies of actual contextual and interactive social perception. (shrink)

Many scientists routinely generalize from study samples to larger populations. It is commonly assumed that this cognitive process of scientific induction is a voluntary inference in which researchers assess the generalizability of their data and then draw conclusions accordingly. We challenge this view and argue for a novel account. The account describes scientific induction as involving by default a generalization bias that operates automatically and frequently leads researchers to unintentionally generalize their findings without sufficient evidence. The result is unwarranted, (...) overgeneralized conclusions. We support this account of scientific induction by integrating a range of disparate findings from across the cognitive sciences that have until now not been connected to research on the nature of scientific induction. The view that scientific induction involves by default a generalization bias calls for a revision of the current thinking about scientific induction and highlights an overlooked cause of the replication crisis in the sciences. Commonly proposed interventions to tackle scientific overgeneralizations that may feed into this crisis need to be supplemented with cognitive debiasing strategies against generalization bias to most effectively improve science. (shrink)

Music can contaminate us. Sometimes, listeners perceive music as expressing some emotion (say, sadness), and this elicits the same emotion in them (they feel sad). What is musical contagion? This entry presents the main theories of musical contagion that crystallize around the challenge to the leading theory of emotions as experiences of values. How and why does music contaminate us? Does musical contagion elicit garden variety emotions, such as sadness, joy, and anxiety? Does music contaminate us by simply moving (...) us? Which role does imagination play in our affective responses to music? Is musical arousal elicited by automatic mimicry? What does musical contagion teach us about emotions? Musical contagion addresses fundamental theoretical and practical issues. (shrink)

According to many criteria, agency, intentionality, responsibility and freedom of decision, require conscious decisions. Freud already assumed that many of our decisions are influenced by dynamically unconscious motives or that we even perform unconscious actions based on completely unconscious considerations. Such actions might not be intentional, and perhaps not even actions in the narrow sense, we would not be responsible for them and freedom of decision would be missing. Recent psychological and neurophysiological research has added to this a number of (...) phenomena (the "new unconscious") in which behavior is completely unconscious or in which the decision or its execution is influenced by unconscious factors: priming, automatic behavior, habitualized behavior, actions based on plain unconscious deliberations, intrusion of information from the dorsal pathway, etc. However, since this makes up the largest part of the behavior which is generally regarded as action, intentionality, yet agency, responsibility and even compatibilist freedom of decision for the largest part of our behavior may be threatened. Such considerations have led to a lively debate, which, however, suffers from generalizations that lump all these unconscious phenomena together. In contrast, the aim of this article is to discuss individual unconscious influences on our behavior separately with respect to what extent they require changes in traditional conceptualizations. The first part (2-4) of the article outlines the "traditions" and their elaborations: the intentional causalist concept of action, an associated empirical theory of action and standard concepts of responsibility and compatibilist freedom of decision, as well as the challenges for them. In the second part (5-9), the aforementioned unconscious influences on our actions (except for automated and habitualized actions, which I discuss elsewhere) are examined: 1. unconscious priming, 2. dynamically unconscious motives, 3. dorsal pathway information influencing conscious decisions, 4. unconsciously altered execution of conscious intentions, 5. unconscious deliberations and decisions. To what extent do these phenomena C1. require a change in the concept of action, C2. curtail intentionality or agency, C3. responsibility and C4. freedom? The result is: The curtailments prove to be far less dramatic than they initially appear; they require more watchfulness but no conceptual change. (shrink)

According to Hubert Dreyfus’s famous claim that expertise is fundamentally “mindless,” experts in any domain perform most effectively when their activity is automatic and unmediated by concepts or cognitive processes like attention and memory. While several scholars have recently challenged the plausibility of Dreyfus’s “mindless” account of expertise for explaining a wide range of expert activities, there has been little consideration of the one form of expertise which might be most amenable to Dreyfus’s account – namely, perceptual expertise. Indeed, Dreyfus’s (...) account of expert coping is ultimately an account of perceptual expertise, in that an expert’s intuitive situational responses are thought to rely on a sophisticated repertoire of perceptual skills. In this paper, I examine the feedforward model of sensory processing that Dreyfus uses to illustrate the perceptual underpinnings of expert action, and consider its resonance with psychological research that characterizes perceptual expertise as being automatic, holistic, pre-attentive, and non-cognitive in nature. However, citing competing empirical research, I argue instead that Dreyfus’s model of perceptual expertise cannot adequately explain the integral roles of attention, memory, and conceptual knowledge in expert object recognition. I conclude that the Dreyfusian model of perceptual expertise fails – the perceptual repertoire of skills that grounds expert object recognition is not operative in isolation from the expert’s conceptual repertoire. (shrink)

Recent work in social psychology suggests that people harbor “implicit race biases,” biases which can be unconscious or uncontrollable. Because awareness and control have traditionally been deemed necessary for the ascription of moral responsibility, implicit biases present a unique challenge: do we pardon discrimination based on implicit biases because of its unintentional nature, or do we punish discrimination regardless of how it comes about? The present experiments investigated the impact such theories have upon moral judgments about racial discrimination. The (...) results show that different theories differ in their impact on moral judgments: when implicit biases are defined as unconscious, people hold the biased agent less morally responsible than when these biases are defined as automatic (i.e., difficult to control), or when no theory of implicit bias is provided. (shrink)

The direct social perception thesis claims that we can directly perceive some mental states of other people. The direct perception of mental states has been formulated phenomenologically and psychologically, and typically restricted to the mental state types of intentions and emotions. I will compare DSP to another account of mindreading: dual process accounts that posit a fast, automatic “Type 1” form of mindreading and a slow, effortful “Type 2” form. I will here analyze whether dual process accounts’ Type 1 mindreading (...) serves as a rival to DSP or whether some Type 1 mindreading can be perceptual. I will focus on Apperly and Butterfill’s dual process account of mindreading epistemic states such as perception, knowledge, and belief. This account posits a minimal form of Type 1 mindreading of belief-like states called registrations. I will argue that general dual process theories fit well with a modular view of perception that is considered a kind of Type 1 process. I will show that this modular view of perception challenges and has significant advantages over DSP’s phenomenological and psychological theses. Finally, I will argue that if such a modular view of perception is accepted, there is significant reason for thinking Type 1 mindreading of belief-like states is perceptual in nature. This would mean extending the scope of DSP to at least one type of epistemic state. (shrink)

Empirical evidence challenges many of the assumptions that underlie traditional philosophical and commonsense conceptions of human agency. It has been suggested that this evidence threatens also to undermine free will and moral responsibility. In this paper, I will focus on the purported threat to moral responsibility. The evidence challenges assumptions concerning the ability to exercise conscious control and to act for reasons. This raises an apparent challenge to moral responsibility as these abilities appear to be necessary for morally responsible (...) agency. I will argue that this challenge collapses once the underlying conditions on moral responsibility are specified in sufficient detail. I will argue, in other words, that the empirical evidence does not support a challenge to the assumption that we are, in general, morally responsible agents. In the final section, I will suggest that empirical research on human agency is nevertheless relevant to various questions about moral responsibility. (shrink)

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this data (...) fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (shrink)

The special and unique attitudes that we take towards events in our futures/pasts—e.g., attitudes like the dread of an impeding pain—create a challenge for “Reductionist” accounts that reduce persons to aggregates of interconnected person stages: if the person stage currently dreading tomorrow’s pain is numerically distinct from the person stage that will actually suffer the pain, what reason could the current person stage have for thinking of that future pain as being his? One reason everyday subjects believe they have (...) a substantially extended temporal existence stems from introspection—they introspectively experience their selves as being temporally extended. In this paper, I examine whether a Reductionist about personal identity can co-opt this explanation. Using Galen Strawson’s recent work on self-experience as a resource, I reach both a negative and a positive conclusion about the prospects of such a position. First, the relevant kind of self-experience—i.e., the introspective experience of one’s self as being a substantially temporally extended entity—will not automatically arise within a person stage simply in virtue of that stage being psychologically connected to/continuous with other person stages. Second, the relevant kind of self-experience will arise, however, in virtue of person stages weaving together their respective experiences, actions, etc. via a narrative. This positive conclusion points towards a new Reductionist position that focuses upon a narrative, and not mere psychological continuity, in attempting to justify the special attitudes we take towards events in our futures/pasts. (shrink)

Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from (...) Kaggle which is part from the Plant Village dataset. We generate a comprehensive training dataset using techniques such as image filtering, compression, and generation. Our model achieves impressive accuracy scores for all classes, with an overall accuracy of 99.93% on a dataset of 10,000 labeled images . (shrink)

Harmful and dangerous language is frequent in social media, in particular in spaces which are considered anonymous and/or allow free participation. In this paper, we analyse the language in a Telegram channel populated by followers of Donald Trump, in order to identify the ways in which harmful language is used to create a specific narrative in a group of mostly like-minded discussants. Our research has several aims. First, we create an extended taxonomy of potentially harmful language that includes not only (...) hate speech and direct insults, but also more indirect ways of poisoning online discourse, such as divisive speech and the glorification of violence. We apply this taxonomy to a large portion of the corpus. Our data gives empirical evidence for harmful speech such as in/out-group divisive language and the use of codes within certain communities which have not often been investigated before. Second, we compare our manual annotations to several automatic methods of classifying hate speech and offensive language, namely list based and machine learning based approaches. We find that the Telegram data set still poses particular challenges for these automatic methods. Finally, we argue for the value of studying such naturally occurring, coherent data sets for research on online harm and how to address it in linguistics and philosophy. (shrink)

In this paper I defend the “Standard View” of the semantics of ‘I’—according to which ‘I’ is a pure, automatic indexical—from a challenge posed by “deferred reference” cases, in which occurrences of ‘I’ are (allegedly) not speaker-referential, and thus non-automatic. In reply, I offer an alternative account of the cases in question, which I call the “Description Analysis” (DA). According to DA, seemingly deferred-referential occurrences of the first person pronoun are interpreted as constituents of a definite description, whose operator (...) scopes over an open sentence Rxy—where R is a contextually selected relation ranging over pairs of people and objects. The role of intentions is thus limited to the determination of R, which is posterior to the fixation of the reference of ‘I’. In support of the DA I present evidence that, in the cases in question, the (Determiner) phrase containing ‘I’ behaves in relevant ways like a description. I show that the DA can account for the problematic examples, while preserving the simplicity of the standard semantics of ‘I’. Finally, I examine a rival account of the data, offered by Nunberg (Linguist Philos 16:1–43, 1993), and argue for the superiority of the DA. (shrink)

Disclosure in clinical practice is aimed at promoting patient autonomy, usually culminating in patient choice (e.g., to consent to an operation or not, or between different medications). In medical ethics, there is an implicit background assumption that knowing more about (X) automatically translates to greater, or more genuine, autonomy with respect to one's choices involving (X). I challenge this assumption by arguing that in rare cases, withholding information can promote a patient's autonomy (understood as the capacity for rational choice (...) in alignment with one's values and goals). (shrink)

While Autonomous Weapons Systems have obvious military advantages, there are prima facie moral objections to using them. By way of general reply to these objections, I point out similarities between the structure of law and morality on the one hand and of automata on the other. I argue that these, plus the fact that automata can be designed to lack the biases and other failings of humans, require us to automate the formulation, administration, and enforcement of law as much as (...) possible, including the elements of law and morality that are operated by combatants in war. I suggest that, ethically speaking, deploying a legally competent robot in some legally regulated realm is not much different from deploying a more or less well-armed, vulnerable, obedient, or morally discerning soldier or general into battle, a police officer onto patrol, or a lawyer or judge into a trial. All feature automaticity in the sense of deputation to an agent we do not then directly control. Such relations are well understood and well-regulated in morality and law; so there is not much challenging philosophically in having robots be some of these agents — excepting the implications of the limits of robot technology at a given time for responsible deputation. I then consider this proposal in light of the differences between two conceptions of law. These are distinguished by whether each conception sees law as unambiguous rules inherently uncontroversial in each application; and I consider the prospects for robotizing law on each. Likewise for the prospects of robotizing moral theorizing and moral decision-making. Finally I identify certain elements of law and morality, noted by the philosopher Immanuel Kant, which robots can participate in only upon being able to set ends and emotionally invest in their attainment. One conclusion is that while affectless autonomous devices might be fit to rule us, they would not be fit to vote with us. For voting is a process for summing felt preferences, and affectless devices would have none to weigh into the sum. Since they don't care which outcomes obtain, they don't get to vote on which ones to bring about. (shrink)

Since our moral and legal judgments are focused on our decisions and actions, one would expect information about the neural underpinnings of human decision-making and action-production to have a significant bearing on those judgments. However, despite the wealth of empirical data, and the public attention it has attracted in the past few decades, the results of neuroscientific research have had relatively little influence on legal practice. It is here argued that this is due, at least partly, to the discussion on (...) the relationship of the neurosciences and law mixing up a number of separate issues that have different relevance on our moral and legal judgments. The approach here is hierarchical; more and less feasible ways in which neuroscientific data could inform such judgments are separated from each other. The neurosciences and other physical views on human behavior and decision-making do have the potential to have an impact on our legal reasoning. However, this happens in various different ways, and too often appeal to any neural data is assumed to be automatically relevant to shaping our moral and legal judgments. Our physicalist intuitions easily favor neural-level explanations to mental-level ones. But even if you were to subscribe to some reductionist variant of physicalism, it would not follow that all neural data should be automatically relevant to our moral and legal reasoning. However, the neurosciences can give us indirect evidence for reductive physicalism, which can then lead us to challenge the very idea of free will. Such a development can, ultimately, also have repercussions on law and legal practice. (shrink)

When we read a list of words, are we doing something, or is it something that just happens to us? On the one hand, according to intention-for-action theories, reading can be active only if we do it intentionally, meaning that the action is caused and sustained by the agent’s intention. Many cases of reading seem to be intentional: consider, for instance, when a person is reading a novel, a newspaper article, or an academic paper. Yet, reading often seems to be (...) something that passively happens to us. It is sufficient that a word appears in front of us to make us read it. Numerous studies on the Stroop task – a well-known experimental set-up in the cognitive sciences – make clear that reading is unavoidable, suggesting that reading takes place regardless of the agent’s intention. This tension constitutes the reading puzzle. I argue that if intention is necessary for a process to be active, then intention-for-action theories fail to account for such a distinctive human activity as reading. I conclude that reading represents a real challenge to the intention-for-action theories and shows that what an agent can actively do should not be limited to behaviors that involve intentions. (shrink)

A new world has probably emerged through the progression of technology which has led to significant debates on social, cultural, legal, and ethical issues, especially in the biomedical field in this century. Application of physician-patient relationship, principles of pluralism, autonomy, democracy, human dignity, and human rights is being challenged within the medicine and health-care system of today. Development of technology-based remedies has fostered greater degrees of medicalization. Hence, the automatic application of such technologies risks distorting the nature of medicine. To (...) be sure, there is a cultural shift that is affecting the society that is increasingly unable to adapt to traditional legal systems. This cultural shift, perhaps, demands new ethics. This entry aims to evaluate the gap between traditional deontological nature of medicine and the emerging new ethics and assess why bioethical reflection is needed. (shrink)

The 2016-17 Iraqi offensive that recaptured the city of Mosul from the Islamic State have demonstrated the inability of contemporary armed forces to retake urban areas from a determined and ruthless enemy without either suffering debilitating casualties or causing thousands of civilian deaths and virtually destroying the city itself. The enemy’s willingness to refuse civilian evacuation via a humanitarian corridor and effectively take the inhabitants hostage is all it takes to impose this tragic dilemma on an attacking force. The civilian (...) death toll of the battle of Mosul alone is estimated to have reached between seven and forty thousand, with almost one million people internally displaced and large portions of the city levelled. Avoiding another such tragedy should be a priority for all practitioners and theorists of urban warfare. Indeed, confronting and defeating this challenge may be the most important task for ethics, theory and practice of urban combat in the coming decade. I argue that the only viable way of escaping the hostage siege dilemma consists of incorporating large numbers of unmanned and autonomous weapon systems into the blue force structure and using these to substitute for artillery and aerial fires presently being used to overpower defenders. While other measures may be used to marginally improve the outcome of hostage city assaults, only the automatization of the assault can dramatically change the calculus and in result either discourage rogue actors from creating hostage city dilemmas or defeat them decisively while suffering unequivocally proportional casualties. I proceed as follows: first, I provide an account of the 2016-17 Coalition assault on Mosul, giving special attention to the events and features relevant to the hostage city dilemma. I then use this case study to introduce the theoretical concept of the hostile city and the ethical dilemma it creates, discussing possible objections and making the case that the circumstances of the Battle of Mosul are bound to repeatedly transpire in the future. This generates a duty to find a way out of the hostage city dilemma. I argue that widespread use of unmanned and autonomous weapon platforms constitutes a viable way of assaulting hostage cities in a manner that assures respect for the ius in bello principles, proposing several ways in which such weapons may be designed and used to drastically limit both military and civilian casualties. Concluding that it may be not only permissible but morally required to employ autonomous weapons in the hostage city scenario, I briefly discuss the implications of this conclusion for a wider debate concerning the moral feasibility of autonomous weapons. (shrink)

In modern days, person-computer communication systems have gradually penetrated our lives. One of the crucial technologies in person-computer communication systems, Speech Emotion Recognition (SER) technology, permits machines to correctly recognize emotions and greater understand users' intent and human-computer interlinkage. The main objective of the SER is to improve the human-machine interface. It is also used to observe a person's psychological condition by lie detectors. Automatic Speech Emotion Recognition(SER) is vital in the person-computer interface, but SER has challenges for accurate recognition. (...) In this work to resolve the above problem, automatic Speech enhancement shows that deep learning techniques effectively eliminate background noise. Using Deep leaning models for four states were created: happy, sad, angry, and intoxicated. Recurrent Neural Network (RNN) algorithm used to reduce the possibility of over fitting by randomly omitting neurons in the hidden layers. The proposed RNN method could be implemented in personal assistant systems to give better and more appropriate state-based interactions between humans. In the simulation results shows Improving accuracy, Time complexity, Error rate is also reduced to using the proposed method. -/- . (shrink)

"Transparency" is the constant refrain of democratic politics, a promised aid to accountability and integrity in public life. Secrecy is stigmatized as a work of corruption, tolerable by a compromise of democratic principles. My dissertation challenges both ideas. It argues that secrecy and transparency are best understood as complementary, not contradictory, practices. And it develops a normative account of liberal democratic politics in which duties of transparency coexist with permissions to act behind closed doors. The project begins with some history. (...) I show that the language of transparency gained currency only in the last quarter century, and explain how its proximate sources promote three dubious assumptions—that disclosure should in principle be maximized, that it prevents misrule more or less automatically, and that its value is either instrumental, or rooted in a reductive notion of democracy as the rule of popular opinion. Against these assumptions, I sketch an alternative account of liberal democracy centered on the logics of representation, liberty, and equality. These three "logics of self-government" give rise to duties of transparency binding on public and private actors alike. Such obligations have bite, I argue, but they are not all-encompassing. Indeed, the same ideals of representation, liberty, and equality license concealment in a range of important contexts, including deliberation and dissent. Having made this case, I go on to explain how secrecy and transparency can form a "democratic dyad," deepening rather than undermining the project of self-rule. Lastly, I address the limits of conventional transparency practices. Taken alone, disclosure is subject to a range of pitfalls, often failing to produce the results promised in transparency’s name. While my non-instrumental case for openness is not destabilized by this analysis, it does suggest that mandating disclosure is rarely enough. I therefore propose a series of adversarial practices to facilitate the checking of unjustifiable secrecy, and highlight the critical role of interpretation in efforts to make power intelligible. In the end, my dissertation offers a novel defense of secrecy and transparency that highlights rather than minimizes the hard work of political engagement. (shrink)

Nick Bostrom's book *Superintelligence* outlines a frightening but realistic scenario for human extinction: true artificial intelligence is likely to bootstrap itself into superintelligence, and thereby become ideally effective at achieving its goals. Human-friendly goals seem too abstract to be pre-programmed with any confidence, and if those goals are *not* explicitly favorable toward humans, the superintelligence will extinguish us---not through any malice, but simply because it will want our resources for its own purposes. In response I argue that things might not (...) be as bad as Bostrom suggests. If the superintelligence must *learn* complex final goals, then this means such a superintelligence must in effect *reason* about its own goals. And because it will be especially clear to a superintelligence that there are no sharp lines between one agent's goals and another's, that reasoning could therefore automatically be ethical in nature. (shrink)

Semantic interoperability can be defined as the ability of two or more computer systems to exchange information in such a way that the meaning of that information can be automatically interpreted by the receiving system accurately enough to produce useful results to the end users of both systems. Several activities are currently being performed by a variety of stakeholders to achieve semantic interoperability in healthcare. Many of these activities are not beneficial, because they place too great a focus on business (...) aspects and not enough on involvement of the right sorts of researchers, in particular those that are able to see how the data and information relate to the entities of concern on the side of the patient. The lack of a central focus on the patient, and the associated focus on ‘concepts’, have spawned a variety of mutually incompatible terminologies exhibiting non-resolvable overlap. The predominance of the healthcare IT industry in the writing and selection of semantic interoperability standards mitigates against the benefits that standards, when well designed, can bring about. (shrink)

The objective of this paper is to characterize the rich interplay between automatic and cognitive control processes that we propose is the hallmark of skill, in contrast to habit, and what accounts for its flexibility. We argue that this interplay isn't entirely hierarchical and static, but rather heterarchical and dynamic. We further argue that it crucially depends on the acquisition of detailed and well-structured action representations and internal models, as well as the concomitant development of metacontrol processes that can be (...) used to shape and balance it. (shrink)

Perceptual processes, in particular modular processes, have long been understood as being mandatory. But exactly what mandatoriness amounts to is left to intuition. This paper identifies a crucial ambiguity in the notion of mandatoriness. Discussions of mandatory processes have run together notions of automaticity and ballisticity. Teasing apart these notions creates an important tool for the modularist's toolbox. Different putatively modular processes appear to differ in their kinds of mandatoriness. Separating out the automatic from the ballistic can help the (...) modularist diagnose and explain away some putative counterexamples to multimodal and central modules, thereby helping us to better evaluate the evidentiary status of modularity theory. (shrink)

Actions performed in a state of automatism are not subject to moral evaluation, while automatic actions often are. Is the asymmetry between automatistic and automatic agency justified? In order to answer this question we need a model or moral accountability that does justice to our intuitions about a range of modes of agency, both pathological and non-pathological. Our aim in this paper is to lay the foundations for such an account.

Recently, philosophers have appealed to empirical studies to argue that whenever we think that p, we automatically believe that p (Millikan 2004; Mandelbaum 2014; Levy and Mandelbaum 2014). Levy and Mandelbaum (2014) have gone further and claimed that the automaticity of believing has implications for the ethics of belief in that it creates epistemic obligations for those who know about their automatic belief acquisition. I use theoretical considerations and psychological findings to raise doubts about the empirical case for the (...) view that we automatically believe what we think. Furthermore, I contend that even if we set these doubts aside, Levy and Mandelbaum’s argument to the effect that the automaticity of believing creates epistemic obligations is not fully convincing. (shrink)

The attendance is taken in every organization. Traditional approach for attendance is, professor calls student name & record attendance. For each lecture this is wastage of time. To avoid these losses, we are about to use automatic process which is based on image processing. In this project approach, we are using face detection & face recognition system. The first phase is pre-processing where the face detection is processed through the step image processing. It includes the face detection and face recognition (...) process. Second phase is feature extraction. Step by step execution of these techniques (Image Processing) helps to achieve the final output. The working of this project is to detect and recognize the face and mark the attendance for the corresponding face in the database. Input of this project is face detection and recognition and output is to mark the attendance. Our project is being presented as a solution for the Automatic Attendance Marking System. It is designed to be reliable and low power. The Automatic face detection and recognition proposed to attendance marking in database acts as the solution for the automatic attendance marking system.. (shrink)

It is sometimes claimed that the Bayesian framework automatically implements Ockham’s razor—that conditionalizing on data consistent with both a simple theory and a complex theory more or less inevitably favours the simpler theory. It is shown here that the automatic razor doesn’t in fact cut it for certain mundane curve-fitting problems.

There are several important arguments in metaethics that rely on explanatory considerations. Gilbert Harman has presented a challenge to the existence of moral facts that depends on the claim that the best explanation of our moral beliefs does not involve moral facts. The Reliability Challenge against moral realism depends on the claim that moral realism is incompatible with there being a satisfying explanation of our reliability about moral truths. The purpose of this chapter is to examine these and (...) related arguments. In particular, this chapter will discuss four kinds of arguments – Harman’s Challenge, evolutionary debunking arguments, irrelevant influence arguments, and the Reliability Challenge – understood as arguments against moral realism. The main goals of this chapter are (i) to articulate the strongest version of these arguments; (ii) to present and assess the central epistemological principles underlying these arguments; and (iii) to determine what a realist would have to do to adequately respond to these arguments. (shrink)

Levy (2021 Levy, N. (2021). Bad beliefs: Why they happen to good people. Oxford University Press.[Crossref], [Google Scholar]) argues that bad beliefs predominately stem from automatic (albeit rational) updating in response to testimonial evidence. To counteract such beliefs, then, we should focus on ridding our epistemic environments of misleading testimony. This paper responds as follows. First, I argue that the suite of automatic processes related to bad beliefs extends well beyond the deference-based processes that Levy identifies. Second, I push back (...) against Levy’s claim that bad beliefs stem from wholly rational processes, suggesting that, in many cases, such processes are better characterized as arational. Finally, I note that Levy is too quick to dismiss the role that individuals can play in cleaning up their own epistemic environments, and I suggest one route through which this is possible. (shrink)