In this four part exchange, Evan Selinger starts by stating that Collins’s empirical evidence in respect of linguistic socialization and its bearing on artificial intelligence and expertise is valuable; it advances philosophical and sociological understanding of the relationship between knowledge and language. Nevertheless, he argues that Collins mischaracterizes the data under review and thereby misrepresents how knowledge is acquired and understates the extent to which expert knowers are embodied. Selinger reconstructs the case for the importance of the body in the (...) initial acquisition of language and challenges Collins to show how a disembodied entity could become fluent in any language at all.Collins responds by accepting that his approach does not demonstrate quite as much about the irrelevance of the body as he thought it did but that even though he accepts all of Selinger’s claims, ‘the body’ as needed by the philosophical approach set out by Selinger is still a vestigial thing. Collins’s main point, however, is that the philosophical view of the body—the world is divided into embodied agents and unembodied entities—distracts attention from the more interesting empirically researchable question of how the ability to become socialized diminishes, if it does, as the body become more and more minimal. The right research question is not about whether a person can extrapolate from minimal sensory input but how much extrapolation is possible under different circumstances and how it is done.Dreyfus, having seen the whole of the exchange so far, agrees that both have a point but argues that Collins’s approach still misses the well established importance of bodily engagement for full understanding.Collins responds to this by trying to set out more clearly the position associated with the idea of interactional expertise.Keywords: Interactional expertise; Phenomenology; Turing test; Embodiment; Tacit knowledge; Socialization. (shrink)

Dreyfus's model of expert skill acquisition is philosophically important because it shifts the focus on expertise away from its social and technical externalization in STS, and its relegation to the historical and psychological context of discovery in the classical philosophy of science, to universal structures of embodied cognition and affect. In doing so he explains why experts are not best described as ideologues and why their authority is not exclusively based on social networking. Moreover, by phenomenologically analyzing expertise from a (...) first person perspective, he reveals the limitations of, and sometimes superficial treatment that comes from, investigating expertise from a third person perspective. Thus, he shows that expertise is a prime example of a subject that is essential to science but can only be fully elaborated with the aid of phenomenological tools. However, both Dreyfus's descriptive model and his normative claims are flawed due to the lack of hermeneutical sensitivity. He assumes an expert's knowledge has crystallized out of contextual sensitivity plus experience, and that an expert has shed, during the training process, whatever prejudices, ideologies, hidden agendas, or other forms of cultural embeddedness, that person might have begun with. One would never imagine, from Dreyfus's account, that society could possibly be endangered by experts, only how society's expectations and actions could endanger experts. The stories of actual controversies not only shows things do not work the way Dreyfus claims, but also that it would be less salutary if they did. Such stories amount to counterexamples to Dreyfus's normative claims, and point to serious shortcomings in his arguments. (shrink)

Harry Collins interprets Hubert Dreyfus’s philosophy of embodiment as a criticism of all possible forms of artificial intelligence. I argue that this characterization is inaccurate and predicated upon a misunderstanding of the relevance of phenomenology for empirical scientific research.

The purpose of this article is to show why consciousness and thought are not manifested in digital computers. Analyzing the rationale for claiming that the formal manipulation of physical symbols in Turing machines would emulate human thought, the article attempts to show why this proved false. This is because the reinterpretation of designation and meaning to accommodate physical symbol manipulation eliminated their crucial functions in human discourse. Words have denotations and intensional meanings because the brain transforms the physical stimuli received (...) from the microworld into a qualitative, macroscopic representation for consciousness. Lacking this capacity as programmed machines, computers have no representations for their symbols to designate and mean. Unlike human beings in which consciousness and thought, with their inherent content, have emerged because of their organic natures, serial processing computers or parallel distributed processing systems, as programmed electrical machines, lack these causal capacities. (shrink)

In the present enterprise we take a look at the meaning of Autonomy, how the word has been employed and some of the consequences of its use in the sciences of the artificial. Could and should robots really be autonomous entities? Over and beyond this, we use concepts from the philosophy of mind to spur on enquiry into the very essence of human autonomy. We believe our initiative, as does Dennett's life-long research, sheds light upon the problems of robot design (...) with respect to their relation with humans. (shrink)

Like previous educational technologies, artificial intelligence in education threatens to disrupt the status quo, with proponents highlighting the potential for efficiency and democratization, and skeptics warning of industrialization and alienation. However, unlike frequently discussed applications of AI in autonomous vehicles, military and cybersecurity concerns, and healthcare, AI’s impacts on education policy and practice have not yet captured the public’s attention. This paper, therefore, evaluates the status of AIEd, with special attention to intelligent tutoring systems and anthropomorphized artificial educational agents. I (...) discuss AIEd’s purported capacities, including the abilities to simulate teachers, provide robust student differentiation, and even foster socio-emotional engagement. Next, to situate developmental pathways for AIEd going forward, I contrast sociotechnical possibilities and risks through two idealized futures. Finally, I consider a recent proposal to use peer review as a gatekeeping strategy to prevent harmful research. This proposal serves as a jumping off point for recommendations to AIEd stakeholders towards improving their engagement with socially responsible research and implementation of AI in educational systems. (shrink)

Using four examples of models and computer simulations from the history of psychology, I discuss some of the methodological aspects involved in their construction and use, and I illustrate how the existence of a model can demonstrate the viability of a hypothesis that had previously been deemed impossible on a priori grounds. This shows a new way in which scientists can learn from models that extends the analysis of Morgan (1999), who has identified the construction and manipulation of models as (...) those phases in which learning from models takes place. (shrink)

This paper considers the problem of how to evaluate an offender’s criminal record. This evaluation is part of the sentencing process carried out by a judge, and may be complicated in the case of offenders with a heavy record. We give a comprehensive overview of the approach to an offender’s past record in various (Western) countries, considering the two major approaches: desert-based and utilitarian. The paper describes the determination of the parameters involved in the evaluation, and the construction of a (...) decision support system to be used by a judge about to pass sentence in a criminal case. The system may be used as a stand-alone system, but can also be integrated as a component of a general sentencing support system, e.g. a statistical sentencing information system. The system is a knowledge-based system. The knowledge base (in rule-form) was created primarily by eliciting knowledge from experts (judges, lawyers, academics and probation officers), but also by applying statutory law, case law and legal authoritative texts. It is flexible in the sense, that a user can introduce his1 own preferences (expressed as numerical coefficients) and thereby apply different sentencing principles. The prototype is at present undergoing testing by some of the participating judges. (shrink)

RÉSUMÉ : John Searle, Hubert Dreyfus et Charles Taylor défendent la thèse voulant qu’il y ait des formes de «compréhension» ou de «savoir» qui, contrairement aux formes courantes, ne sont pas de nature représentationnelle ou conceptuelle mais sont plutôt du type des «savoir-faire». Cet article examine l’argument avancé en faveur de cette thèse ainsi que l’affirmation de ces auteurs suivant laquelle les Recherches philosophiques de Wittgenstein démontrent que celui-ci, au moins implicitement, l’acceptait. Les conclusions qui découlent de cet examen sont, (...) d’une part, que l’argument n’est pas concluant et, de l’autre, qu’il aurait été récusé par l’auteur des Recherches. ABSTRACT : A thesis held by John Searle, Hubert Dreyfus and Charles Taylor is that there is a kind of “understanding” or “knowledge” that differs from ordinary knowledge in being by nature non-representational or non-conceptual and rather a kind of “know-how.” The aim of this article is to examine the argument in support of their common thesis and their claim that it was endorsed, at least implicitly, by Wittgenstein in the Philosophical Investigations. This examination shows that the argument is not convincing and that Wittgenstein would have rejected it. (shrink)

One of the central debates in cognitive science is the dispute over the role of representation in cognition: on computational/representational accounts, representations are theoretically central; on dynamic systems approaches in which cognition is investigated as a particular sort of physical process, representations play either no role, or, at best, a derivative one. But these two perspectives lead to a deeply unsatisfying theoretical divide: accounts situated in the representational camp are plagued by the inscrutable problem of intentionality, while those hedging towards (...) anti-representationalism seem incapable of saying anything theoretically interesting about high-level cognition. This unhelpful polarization is due in part, at least, to a muddy debate; while some take representationalism to be a commitment to the necessity of conceptual representations for cognition, representations the having of which require certain conceptual capacities, others do not. Recently, there has been a surge of work on non-conceptual representation. This article aims to add to this movement by suggesting a particular cognitive mechanism for non-conceptual representations, one that plays a pivotal role in making conceptual representations possible. One of the central consequences of this new view of representation is the possibility of a non-question-begging naturalistic account of intentionality. (shrink)

In this article, we propose that gestures play an important role in the connection between sensorimotor experience and language. Gestures may be the link between bodily experience and verbal expression that advocates of embodied cognition have postulated. In a developmental sequence of communicative action, gestures, which are initially similar to action sequences, substantially shorten and represent actions in metonymic form. In another process, action sequences are based on kinesthetic schemata that themselves find their metaphoric expression in language. Again, gestures enact (...) kinesthetic schemata that are correlated with verbal expressions. Examples from a large database are used to illustrate the various processes by means of which language arises when students conduct school science investigations. (shrink)

Future developments in artificial intelligence (AI) will likely allow for a greater degree of human‐machine convergence, with machines becoming more humanlike and intelligent machinery becoming more integrated into human brain function. This will pose many ethical challenges, and the necessity for a moral framework for evaluating these challenges will grow. This paper argues that community concern constitutes a central factor in both the evolution of religion and the human brain, and as such it should be used as the organizing principle (...) for moral evaluations of AI technologies. (shrink)

Engineers are normally seen as the archetype of people who make decisions in a rational and quantitative way. However, technological design is not value neutral. The way a technology is designed determines its possibilities, which can, for better or for worse, have consequences for human wellbeing. This leads various scholars to the claim that engineers should explicitly take into account ethical considerations. They are at the cradle of new technological developments and can thereby influence the possible risks and benefits more (...) directly than anybody else. I have argued elsewhere that emotions are an indispensable source of ethical insight into ethical aspects of risk. In this paper I will argue that this means that engineers should also include emotional reflection into their work. This requires a new understanding of the competencies of engineers: they should not be unemotional calculators; quite the opposite, they should work to cultivate their moral emotions and sensitivity, in order to be engaged in morally responsible engineering. (shrink)

I propose a semi-eliminative reduction of Fodors concept of module to the concept of attractor basin which is used in Cognitive Dynamic Systems Theory (DST). I show how attractor basins perform the same explanatory function as modules in several DST based research program. Attractor basins in some organic dynamic systems have even been able to perform cognitive functions which are equivalent to the If/Then/Else loop in the computer language LISP. I suggest directions for future research programs which could find similar (...) equivalencies between organic dynamic systems and other cognitive functions. This type of research could help us discover how (and/or if) it is possible to use Dynamic Systems Theory to more accurately model the cognitive functions that are now being modeled by subroutines in Symbolic AI computer models. If such a reduction of subroutines to basins of attraction is possible, it could free AI from the limitations that prompted Fodor to say that it was impossible to model certain higher level cognitive functions. (shrink)

In everyday life we often act adequately, yet without deliberation. For instance, we immediately obtain and maintain an appropriate distance from others in an elevator. The notion of normativity implied here is a very basic one, namely distinguishing adequate from inadequate, correct from incorrect, or better from worse in the context of a particular situation. In the first part of this paper I investigate such ‘situated normativity’ by focusing on unreflective expert action. More particularly, I use Wittgenstein’s examples of craftsmen (...) (tailors and architects) absorbed in action to introduce situated normativity. Situated normativity can be understood as the normative aspect of embodied cognition in unreflective skillful action. I develop Wittgenstein’s insight that a peculiar type of affective behaviour, ‘directed discontent’, is essential for getting things right without reflection. Directed discontent is a reaction of appreciation in action and is introduced as a paradigmatic expression of situated normativity. In the second part I discuss Wittgenstein’s ideas on the normativity of what he calls ‘blind’ rule-following and the ‘bedrock’ of immediate action. What matters for understanding the normativity of (even ‘blind’) rule-following, is not that one has the capacity for linguistic articulation or reflection but that one is reliably participating in a communal custom. In the third part I further investigate the complex relationships between unreflective skillful action, perception, emotion, and normativity. Part of this entails an account of the link between normativity at the level of the expert’s socio-cultural practice and the individual’s situated and lived normativity. (shrink)

Traditional analytical philosophy of education assigns a peripheral place to physical education, partly because orthodox epistemology finds its cognitive claims implausible. An understandable but dubious response to this state of affairs is the attempt to relocate physical education within the academic curriculum, with its characteristic emphasis on theoretical knowledge and formal assessment. Dissatisfaction with this response suggests an analysis of physical activity in terms of practical knowledge or knowing how, but the results of this seem inconclusive. More recently, the development (...) of neurocomputational and embodied-cognition approaches in cognitive science appears to offer alternative ways of understanding motor skill and physical activity, and thus of rescuing physical education from its marginal status. But these strategies are not unproblematic, particularly where questions of personal agency and motor control are concerned. Examination of these issues prompts a radical reconsideration of the traditional problem of physical education, and consequently of some familiar assumptions in the philosophy of education. (shrink)

Evidence based medicine has been a topic of considerable controversy in medical and health care circles over its short lifetime, because of the claims made by its exponents about the criteria used to assess the evidence for or against the effectiveness of medical interventions. The central epistemological debates underpinning the debates about evidence based medicine are reviewed by this paper, and some areas are suggested where further work remains to be done. In particular, further work is needed on the theory (...) of evidence and inference; causation and correlation; clinical judgment and collective knowledge; the structure of medical theory; and the nature of clinical effectiveness. (shrink)

The principal aim of this essay is to discuss some logical features of the so-called Classical model of cognitive architecture as it is advocated by J. Fodor and Z. Pylyshyn in their much discussed article 'Connectionism and Cognitive Architecture: A Critical Analysis'. It is pointed out that their structural assumptions have consequences of a logical kind which call into question the view that the Classical architecture (in their sense) can be employed to model human cognition. It seems that the consequences (...) have escaped Fodor and Pylyshyn's notice, or else they have failed to appreciate them, since some of their claims evidently conflict with them. It is also investigated whether the human mind can be characterized as being logical in some weaker sense of logic. Furthermore, it is argued that J. H. Fetzer's view that it is a semiotic system is more realistic than the Classical model, but the distinction he suggests between human cognition and other kinds may be problematic. (shrink)

Given (1) Wittgensteins externalist analysis of the distinction between following a rule and behaving in accordance with a rule, (2) prima facie connections between rule-following and psychological capacities, and (3) pragmatic issues about training, it follows that most, even all, future artificially intelligent computers and robots will not use language, possess concepts, or reason. This argument suggests that AIs traditional aim of building machines with minds, exemplified in current work on cognitive robotics, is in need of substantial revision.

Surgical training has traditionally involved a lengthy apprenticeship to a series of master surgeons, who teach medical students and residents the techniques of surgery while allowing them to work on patients in the operating room. This article examines surgical training as a structured environment that prepares students for the embodied lessons taught by a surgeon. It argues that even the most seemingly mechanical of surgical techniques contains social lessons when taught by a surgeon within the rich environment of the operating (...) room. (shrink)

Hayek's and Mises's argument for the impossibility of socialist planning is once again popular. Their case against socialism is predicated on an account of the nature of knowledge and social interaction. Hayek refined Mises's original argument by developing a philosophical anthropology which depicts individuals as tacitly knowledgeable rule-followers embedded in a 'spontaneous order' of systems of rules. Giddens, whose social theory is informed by his reading of Wittgenstein, has recently added his sociological support to Hayek's 'epistemological argument' against socialism. With (...) the aid of an interpretation of Wittgenstein which emphasizes his philosophy of praxis , I attempt to 'deconstruct' Giddens's and Hayek's 'picture' of tacit knowledge and rule-following on which their argument against socialism is predicated. (shrink)

The concept of “tacit knowledge” as the means by which individuals interpret the “rules” of social interaction occupies a central role in all the major contemporary theories of action and social structure. The major reference point for social theorists is Wittgenstein's celebrated discussion of rule-following in the Philosophical Investigations. Focusing on Giddens' incorporation of tacit knowledge and rules into his “theory of structuration”, I argue that Wittgenstein's later work is steadfastly set against the “latent cognitivism” inherent in the idea of (...) tacit knowledge and tacit rules. I also argue that the idea of tacit knowledge and tacit rules is either incoherent or explanatorily vacuous. (shrink)

Artificial intelligence is becoming increasingly entwined with our daily lives: AIs work as assistants through our phones, control our vehicles, and navigate our vacuums. As these objects become more complex and work within our societies in ways that affect our well-being, there is a growing demand for machine ethics—we want a guarantee that the various automata in our lives will behave in a way that minimizes the amount of harm they create. Though many technologies exist as moral artifacts, the development (...) of a truly ethical AI system is highly contentious; theorists have proposed and critiqued countless possibilities for programming these agents to become ethical. Many of these arguments, however, presuppose the possibility that an artificially intelligent system can actually be ethical. In this essay, I will explore a potential path to AI ethics by considering the role of imagination in the deliberative process via the work of John Dewey and his interpreters, showcasing one form of reinforcement learning that mimics imaginative deliberation. With these components in place, I contend that such an artificial agent is capable of something very near ethical behavior—close enough that we may consider it so. (shrink)

The practices of the arts—plastic and performing—deal in direct sensorial engagement with the body, with materiality, with artifacts and tools, with spaces, and with other people. The arts are centrally concerned with intelligent doing. Conventional explanations of the cognitive dimensions of arts practices have been unsatisfying because internalist paradigms provides few useful tools to discuss embodied dimensions of cognition.

This paper pursues the intertwined tracks of robotics and art since the mid 20th century, taking a loose chronological approach that considers both the devices themselves and their discursive contexts. Relevant research has occurred in a variety of cultural locations, often outside of or prior to formalized robotics contexts. Research was even conducted under the aegis of art or cultural practices where robotics has been pursued for other than instrumental purposes. In hindsight, some of that work seems remarkably prescient of (...) contemporary trends. The context of cultural robotics is a highly charged interdisciplinary test environment in which the theory and pragmatics of technical research confronts the phenomenological realities of physical and social being in the world, and the performative and processual practices of the arts. In this context, issues of embodiment, material instantiation, structural coupling, and machine sensing have provoked the reconsideration of notions of (machine) intelligence and cognitivist paradigms. The paradoxical condition of robotics vis-à-vis artificial intelligence is reflected upon. This paper discusses the possibility of a new embodied ontology of robotics that draws upon both cybernetics and post-cognitive approaches. (shrink)

Nursing practice invites nurses to embody caring practices that meet, comfort and empower vulnerable others. Such a practice requires a commitment to meeting and helping the other in ways that liberate and strengthen and avoid imposing the will of the caregiver on the patient. Being good and acting well (phronesis) occur in particular situations. A socially constituted and embodied view of agency, as developed by Merleau‐Ponty, provides an alternative to Cartesian and Kantian views of agency. A socially constituted, embodied view (...) of agency is less mechanistic and less deterministic than Descartes' and Kant's radical separation of mind and body, and more responsive and generative than Kant's vision of moral agency as constituted by autonomous choice makers who are uninfluenced by emotion. The role of emotion in perception and judgement is explored in this paper. Distinctions between techne and phronesis are drawn. The role of emotion in market relationships and procedural ethics drawn for the abstract, general other are strategies for exchange of goods and services, but these same market relationships are dependent on well‐functioning nonmarket relations of noncalculated giving and receiving. (shrink)

Following arguments put forward in my book (Why red doesn’t sound like a bell: understanding the feel of consciousness. Oxford University Press, New York, USA, 2011), this article takes a pragmatic, scientist’s point of view about the concepts of consciousness and “feel”, pinning down what people generally mean when they talk about these concepts, and then investigating to what extent these capacities could be implemented in non-biological machines. Although the question of “feel”, or “phenomenal consciousness” as it is called by (...) some philosophers, is generally considered to be the “hard” problem of consciousness, the article shows that by taking a “sensorimotor” approach, the difficulties can be overcome. What remains to account for are the notions of so-called “access consciousness” and the self. I claim that though they are undoubtedly very difficult, these are not logically impossible to implement in robots. (shrink)

In this paper, I shall set out the pros and cons of assigning legal personhood on artificial intelligence systems under civil law. More specifically, I will provide arguments supporting a functionalist justification for conferring personhood on AIs, and I will try to identify what content this legal status might have from a regulatory perspective. Being a person in law implies the entitlement to one or more legal positions. I will mainly focus on liability as it is one of the main (...) grounds for the attribution of legal personhood, like for collective legal entities. A better distribution of responsibilities resulting from unpredictably illegal and/or harmful behaviour may be one of the main reasons to justify the attribution of personhood also for AI systems. This means an efficient allocation of the risks and social costs associated with the use of AIs, ensuring the protection of victims, incentives for production, and technological innovation. However, the paper also considers other legal positions triggered by personhood in addition to responsibility: specific competencies and powers such as, for example, financial autonomy, the ability to hold property, make contracts, sue. (shrink)

How is it that metaphors are meaningful, yet we have so much trouble saying exactly what they mean? I argue that metaphoric thought is an act of imagination, mediated by the contingent form of human embodiment. Metaphoric cognition is an example of the productive interplay between intentional imagery and the body scheme, a process of imaginal modeling. The case of metaphor marks the intersection of linguistic and psychological processes and demonstrates the need for a multi-disciplinary approach not only in philosophy (...) of language, but in cognitive science and consciousness studies as well. (shrink)

The contribution by Hubert L. Dreyfus to the debate on the feasibility of AI projects has been surely of great relevance because of his pointing out specific limits of the machine as compared to the human mind. His critics, along with the actual difficulties encountered in the advance of a pure symbolic AI, induced a wide discussion that in some measure stimulated other ways to follow for reproducing human abilities. Nevertheless, a curious fact characterizes the history of AI regarding the (...) problems raised, among the many, by Dreyfus. While in the first era the main concern by the opponents was to certify the limited power of computers as compared to humans, it seems that today the main concern is exactly the opposite, namely the growing and threatening power of AI devices, both software and hardware based, such as robots. Maybe the reason of that has been, and is today too, the imbalance assigned to the discussion, on the one side, of what human faculties are and work, and, on the other, on what the artificial is and can work. Designing the artificial, in every field, means to give birth to devices that consist of a sort of overlapping of nature and technology, and, therefore, they deserve to be named naturoids. This implies that, to understand them, we need to study their genuine ‘artificial nature’ in general terms, bringing further what H. A. Simon called the ‘science of the artificial’. (shrink)

Studies that compare human and animal behaviour suspend prejudices about mind, body and their relation, by approaching thinking in terms of behaviour. Yet comparative approaches typically engage another prejudice, motivated by human social and bodily experience: taking the lone animal as the unit of comparison. This prejudice informs Heidegger’s and Merleau-Ponty’s comparative studies, and conceals something important: that animals moving as a group in an environment can develop new sorts of “sense.” The study of animal group-life suggests a new way (...) of thinking about the creation of sense, about the body, the brain, and the relation between thinking and nature. (shrink)

This paper seeks to understand machine cognition. The nature of machine cognition has been shrouded in incomprehensibility. We have often encountered familiar arguments in cognitive science that human cognition is still faintly understood. This paper will argue that machine cognition is far less understood than even human cognition despite the fact that a lot about computer architecture and computational operations is known. Even if there have been putative claims about the transparency of the notion of machine computations, these claims do (...) not hold out in unraveling machine cognition, let alone machine consciousness (if there is any such thing). The nature and form of machine cognition remains further confused also because of attempts to explain human cognition in terms of computation and to model/simulate (aspects of) human cognitive processing in machines. Given that these problems in characterizing machine cognition persist, a view of machine cognition that aims to avoid these problems is outlined. The argument that is advanced is that something becomes a computation in machines only when a human interprets it, which is a kind of semiotic causation. From this it follows that a computing machine is not engaged in a computation unless a human interprets what it is doing; instead, it is engaged in machine cognition, which is defined as a member or subset of the set of all possible mappings of inputs to outputs. The human interpretation, which is a semiotic process, gives meaning to what a machine does, and then what it does becomes a computation. (shrink)

In this paper I take up John Searle's account of ?Background capacities? to render intelligible the presupposed and hidden aspects of the background conditions that enable the performance of skilled movement. The paper begins with a review of Searle's initial account of Background capacities and how this picture can be applied to account for skilled movement in sport. Then an objection to this picture is addressed, claiming that Searle's initial picture might ?overrepresentationalise? background conditions. Moreover, this objection prompts how Searle (...) has modified his initial picture of background conditions in accordance with his more recent ?connection principle?. Searle's recent account of background conditions is then elaborated and discussed in the second half of the paper. The discussion emphasises three distinct levels of analysis in Searle's framework necessary to a full understanding of his background conditions: (i) the neurophysiological level; (ii) the descriptive higher-order practical skill level; and (iii) the logical level of integration. It is argued that Searle's logical framework is found plausible, but that more work is needed to better understand the background conditions of skilled movement in terms of neurophysiological capacities and practical skills from both scientific and philosophical perspectives. (shrink)

A crucial task for sport research is to understand and explain the processes and conditions underlying skillful motor behavior. One way to account for these processes and conditions is to describe and analyze the distinct stages a learner goes through when acquiring a skill. This article starts by elaborating one of the most dominant conceptualizations of motor skills in sport, namely the information-processing approach to skills, and then it briefly recapitulates Hubert and Stuart Dreyfus’s phenomenology of skill acquisition. In a (...) second part, these two distinct perspectives of skills are discussed. The discussion progresses in a dialectical way where the author alternately argues for both perspectives. Emerging from this dialectic, the article presents two arguments for why Dreyfus’s phenomenology of skill acquisition is superior to the information-processing approach. (shrink)

This paper investigates the prospects of Rodney Brooks’ proposal for AI without representation. It turns out that the supposedly characteristic features of “new AI” (embodiment, situatedness, absence of reasoning, and absence of representation) are all present in conventional systems: “New AI” is just like old AI. Brooks proposal boils down to the architectural rejection of central control in intelligent agents—Which, however, turns out to be crucial. Some of more recent cognitive science suggests that we might do well to dispose of (...) the image of intelligent agents as central representation processors. If this paradigm shift is achieved, Brooks’ proposal for cognition without representation appears promising for full-blown intelligent agents—Though not for conscious agents. (shrink)

In this paper, the Author reviewed the typical objections against the claim that brains are computers, or, to be more precise, information-processing mechanisms. By showing that practically all the popular objections are based on uncharitable interpretations of the claim, he argues that the claim is likely to be true, relevant to contemporary cognitive science, and non-trivial.

Using the film the Wizard of Oz, an illustrative comparison is made between the Scarecrow's learning experiences and our own. Like we often do, the Scarecrow reduces his potential learning and thinking abilities to nothing more than the formal operations presumably at work in the brain. Ostensibly lacking this brain, the Scarecrow solves nearly all the problems encountered in the journey to Oz. A neurophenomenological description of the Scarecrow's experiences reveals his prereflective, situated learning, and embodied cognition. These ways of (...) learning are often ignored and devalued in our educational system. Can this same method reveal our own subjugated knowledges? Herein, neurophenomenology is demonstrated as a critical pedagogy that critiques and liberates subjugated knowledge and supports a richer assessment of human learning and thinking. (shrink)

The paper argues that a philosopher who describes his main works as "critiques" of reason cannot be the simple defender of rational science that he is sometimes taken to be. Rather, as Heidegger argues, Kant's program is much deeper and more problematic.

The use of cognitive systems like pattern recognition or video tracking technology in security applications is becoming ever more common. The paper considers cases in which the cognitive systems are meant to assist human tasks by providing information, but the final decision is left to the human. All these systems and their various applications have a common feature: an intrinsic difference in how a situation or an event is assessed by a human being and a cognitive system. This difference, which (...) here is named “the model gap,” is analyzed pertaining to its epistemic role and its ethical consequences. The main results are as follows: (1) The model gap is not a problem, which might be solved by future research, but the central feature of cognitive systems. (2) The model gap appears on two levels: the aspects of the world, which are evaluated, and the way they are processed. This leads to changes in central concepts. While differences on the first level often are the very reason for the deployment of cognitive systems, the latter is hard to notice and often goes unreflected. (3) Such a missing reflection is ethically problematic because the human is meant to give the final judgment. It is particularly problematic in security applications where it might lead to a conflation of descriptive and normative concepts. (4) The idea of the human operator having the last word is based on an assumption of independent judgment. This assumption is flawed for two reasons: The cognitive system and the human operators form a “hybrid system” the components of which cannot be assessed independently; and additional modes of judgment might pose new ethical problems. (shrink)

In this paper I deal with Hubert Dreyfus’s phenomenological ethics regarding information technologies and the use of the Internet. From the 1990s on, Dreyfus elaborates a multi-faceted model of ethical expertise which may find a paradigmatic field of application in the ways in which information technologies transform our sense of personal identity, as well as our view of ethical integrity and commitment. In his 2001 On the Internet, Dreyfus investigates further several of the ideas already present in his groundbreaking 1997 (...) Disclosing New Worlds. A phenomenological ethics of the virtual aims at going beyond both the objectivist ideal of moral universalism, which departs from the dominant Cartesianism both in epistemology and in ethics, as well as from the postmodernist, Nietzsche-inspired moral relativism. By referring back to existentialism, especially to Kierkegaard, and to phenomenology, especially to Heidegger’s hermeneutic phenomenology, Dreyfus sketches a model of ethical expertise which can be particularly useful for internet users and researchers, as it combines a phenomenological anthropology of the virtual with a theory of cultural innovation and change. In my view, Dreyfus’s model may help overcome the strict either determinist or relativist accounts of the ethical challenges posed by information technologies. By endorsing a strongly anti-intellectualist view of information technologies, Dreyfus poses the necessity of identity and ethical integrity not only as abstract principles that require rational justification, but also as context-bound everyday practices that are in conformity with the “style” of a culture and several disclosive activities within it. (shrink)

It has been just over 100 years since the birth of Alan Turing and more than 65 years since he published in Mind his seminal paper, Computing Machinery and Intelligence. In the Mind paper, Turing asked a number of questions, including whether computers could ever be said to have the power of “thinking”. Turing also set up a number of criteria—including his imitation game—under which a human could judge whether a computer could be said to be “intelligent”. Turing’s paper, as (...) well as his important mathematical and computational insights of the 1930s and 1940s led to his popular acclaim as the “Father of Artificial Intelligence”. In the years since his paper was published, however, no computational system has fully satisfied Turing’s challenge. In this paper we focus on a different question, ignored in, but inspired by Turing’s work: How might the Artificial Intelligence practitioner implement “intelligence” on a computational device? Over the past 60 years, although the AI community has not produced a general-purpose computational intelligence, it has constructed a large number of important artifacts, as well as taken several philosophical stances able to shed light on the nature and implementation of intelligence. This paper contends that the construction of any human artifact includes an implicit epistemic stance. In AI this stance is found in commitments to particular knowledge representations and search strategies that lead to a product’s successes as well as its limitations. Finally, we suggest that computational and human intelligence are two different natural kinds, in the philosophical sense, and elaborate on this point in the conclusion. (shrink)

Within the strong branch of artificial intelligence, which is aimed at creating thinking machines with intellectual powers like those of man, the most explored research program is symbolic aI, defined as the attempt to use electronic computers to replicate the human mind, either assuming a structural and functional similarity between them, or trying to replicate the behavior produced by the human mind through computational processes that also have an intentional structure but are only instrumentally equivalent. In this paper we show (...) that strong symbolic aI, in either of its two variants, is impossible, since formal systems, that is what all computer programs ultimately are, are not sufficient to replicate in an intentional way four intellectual faculties of man that are essential to intelligent behavior: sense of the situation, common sense, procedural skills and theory abduction. (shrink)

This paper proposes a new interpretive stance for interpreting artistic works and performances that is relevant to artificial intelligence research but also has broader implications. Termed the expressive stance, this stance makes intelligible a critical distinction between present-day machine art and human art, but allows for the possibility that future machine art could find a place alongside our own. The expressive stance is elaborated as a response to Daniel Dennett's notion of the intentional stance, which is critically examined with respect (...) to his specialized concept of rationality. The paper also shows that temporal scale implicitly serves to select between different modes of explanation in prominent theories of intentionality. It also considers the implications of the phenomenological background for systems that produce art. (shrink)