I want to suggest that the major influence of classical arguments for embodiment like "The Embodied Mind" by Varela, Thomson & Rosch (1991) has been a changing of positions rather than a refutation: Cognitivism has found ways to retreat and regroup at positions that have better fortification, especially when it concerns theses about artificial intelligence or artificial cognitive systems. For example: a) Agent-based cognitivism' that understands humans as taking in representations of the world, doing rule-based processing and then acting on (...) them (sense-plan-act) is often limited to conscious decision processes; and b) Purely syntactic cognition is compatible with embodiment, or supplemented by embodiment (e.g. for 'grounding'). While the empirical thesis of embodied cognition ('embodied cognitive science') is true and the practical engineering thesis ('morphological computation', 'cheap design') is often true, the conceptual thesis ('embodiment is necessary for cognition') is likely false - syntax is often enough for cognition, unless grounding is really necessary. I conclude that it has become more sensible to integrate embodiment with traditional approaches rather than "fight for embodiment" or "against cognitivism". (shrink)

In 2003, philosopher Nick Bostrom presented the provocative idea that we are now living in a computer simulation. Although his argument is structured to include a “hypothesis,” it is unclear that his proposition can be accounted as a properly scientific hypothesis. Here Bostrom’s argument is engaged critically by accounting for philosophical and scientific positions that have implications for Bostrom’s principal thesis. These include discussions from Heidegger, Einstein, Heisenberg, Feynman, and Dreyfus that relate to modelling of structures of thinking and computation. (...) In consequence of this accounting, given that there seems to be no reasonably admissible evidence to count for the task of falsification, one concludes that the computer simulation argument’s hypothesis is only speculative and not scientific. (shrink)

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)

What is creativity? One new idea may be creative, whereas another is merely new: What's the difference? And how is creativity possible? These questions about human creativity can be answered, at least in outline, using computational concepts. There are two broad types of creativity, improbabilist and impossibilist. Improbabilist creativity involves novel combinations of familiar ideas. A deeper type involves METCS: the mapping, exploration, and transformation of conceptual spaces. It is impossibilist, in that ideas may be generated which – with respect (...) to the particular conceptual space concerned – could not have been generated before. The more clearly conceptual spaces can be defined, the better we can identify creative ideas. Defining conceptual spaces is done by musicologists, literary critics, and historians of art and science. Humanist studies, rich in intuitive subtleties, can be complemented by the comparative rigour of a computational approach. Computational modelling can help to define a space, and to show how it may be mapped, explored, and transformed. Impossibilist creativity can be thought of in “classical” Al terms, whereas connectionism illuminates improbabilist creativity. Most Al models of creativity can only explore spaces, not transform them, because they have no self-reflexive maps enabling them to change their own rules. A few, however, can do so. A scientific understanding of creativity does not destroy our wonder at it, nor does it make creative ideas predictable. Demystification does not imply dehumanization. (shrink)

Technologies not only change “external reality” but also change our internal consciousness, shaping the way we experience the world. As the reality of intelligent environments is upon us—ushered along with the age of ubiquitous computing—we must be careful that the ideology these technologies embody is not blindly incorporated into the environment. As disciplines, engineering and computer science make implicit assumptions about the world that conflict with traditional modes of cultural production. For example, space is commonly understood to be the void (...) left behind when no objects are present. Unfortunately, once we see space in this way, we are unable to understand the role it plays in our everyday experience. In order to make computationally enhanced spaces that are meaningful at the level of the everyday, we must exorcise the notion of intelligence from their design and replace it with life. Henri Lefebvre’s discussions of the space of everyday life provide a framework to help conceive this transition. (shrink)

Embodied cognition has attracted significant attention within cognitive science and related fields in recent years. It is most noteworthy for its emphasis on the inextricable connection between mental functioning and embodied activity and thus for its departure from standard cognitive science's implicit commitment to the unembodied mind. This article offers a review of embodied cognition's recent empirical and theoretical contributions and suggests how this movement has moved beyond standard cognitive science. The article then clarifies important respects in which embodied cognition (...) has not departed fundamentally from the standard view. A shared commitment to representationalism, and ultimately, mechanism, suggest that the standard and embodied cognition movements are more closely related than is commonly acknowledged. Arguments against representationalism and mechanism are reviewed and an alternative position that does not entail these conceptual undergirdings is offered. (shrink)

There is substantial disagreement among philosophers of embodied cognitive science about the meaning of embodiment. In what follows, I describe three different views that can be found in the current literature. I show how this debate centers around the question of whether the science of embodied cognition can retain the computer theory of mind. One view, which I will label body functionalism, takes the body to play the functional role of linking external resources for problem solving with internal biological machinery. (...) Embodiment is thus understood in terms of the role the body plays in supporting the computational circuits that realize cognition. Body enactivism argues by contrast that no computational account of cognition can account for the role of commonsense knowledge in our everyday practical engagement with the world. I will attempt a reconciliation of these seemingly opposed views. (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)

Current scientific research on consciousness aims to understand how consciousness arises from the workings of the brain and body, as well as the relations between conscious experience and cognitive processing. Clearly, to make progress in these areas, researchers cannot avoid a range of conceptual issues about the nature and structure of consciousness, such as the following: What is the relation between intentionality and consciousness? What is the relation between self-awareness and consciousness? What is the temporal structure of conscious experience? What (...) is it like to imagine or visualize something, and how is this type of experience different from perception? How is bodily experience related to self-consciousness? Such issues have been addressed in detail in the philosophical tradition of phenomenology, inaugurated by Edmund Husserl (1859-1938) and developed by numerous other philosophers throughout the 20th century. This chapter provides an introduction to this tradition and its way of approaching issues about consciousness. We first discuss some features of phenomenological methodology and then present some of the most important, influential, and enduring phenomenological proposals about various aspects of consciousness. These aspects include intentionality, self-awareness and the first-person perspective, time-consciousness, embodiment, and intersubjectivity. We also highlight a few ways of linking phenomenology and cognitive. (shrink)

Information technology (IT) is continuously making astounding progress in technical efficiency. The time, space, material and energy needed to provide a unit of IT service have decreased by three orders of magnitude since the first personal computer (PC) was sold. However, it seems difficult for society to translate IT’s efficiency progress into progress in terms of individual, organizational or socio-economic goals. In particular it seems to be difficult for individuals to work more efficiently, for organizations to be more productive and (...) for the socio-economic system to be more sustainable by using increasingly efficient IT. This article provides empirical evidence and potential explanations for this problem. Many counterproductive effects of IT can be explained economically by rebound effects. Beyond that, we conclude that the technological determinism adopted by decision-makers is the main obstacle in translating IT’s progress into non-technical goals. (shrink)

This paper is a review of the work that has been carried out on machine consciousness. A clear overview of this diverse field is achieved by breaking machine consciousness down into four different areas, which are used to understand its aims, discuss its relationship with other subjects and outline the work that has been carried out so far. The criticisms that have been made against machine consciousness are also covered, along with its potential benefits, and the work that has been (...) done on analysing systems for signs of consciousness. Some of the social and ethical issues raised by machine consciousness are examined at the end of the paper. (shrink)

A great deal of effort has been, and continues to be, devoted to developing consciousness artificially (A small selection of the many authors writing in this area includes: Cotterill (J Conscious Stud 2:290–311, 1995 , 1998 ), Haikonen ( 2003 ), Aleksander and Dunmall (J Conscious Stud 10:7–18, 2003 ), Sloman ( 2004 , 2005 ), Aleksander ( 2005 ), Holland and Knight ( 2006 ), and Chella and Manzotti ( 2007 )), and yet a similar amount of effort has (...) gone in to demonstrating the infeasibility of the whole enterprise (Most notably: Dreyfus ( 1972/1979 , 1992 , 1998 ), Searle ( 1980 ), Harnad (J Conscious Stud 10:67–75, 2003 ), and Sternberg ( 2007 ), but there are a great many others). My concern in this paper is to steer some navigable channel between the two positions, laying out the necessary pre-conditions for consciousness in an artificial system, and concentrating on what needs to hold for the system to perform as a human being or other phenomenally conscious agent in an intersubjectively-demanding social and moral environment. By adopting a thick notion of embodiment—one that is bound up with the concepts of the lived body and autopoiesis (Maturana and Varela 1980 ; Varela et al. 2003 ; and Ziemke 2003 , 2007a , J Conscious Stud 14(7):167–179, 2007b )—I will argue that machine phenomenology is only possible within an embodied distributed system that possesses a richly affective musculature and a nervous system such that it can, through action and repetition, develop its tactile-kinaesthetic memory, individual kinaesthetic melodies pertaining to habitual practices, and an anticipatory enactive kinaesthetic imagination. Without these capacities the system would remain unconscious, unaware of itself embodied within a world. Finally, and following on from Damasio’s ( 1991 , 1994 , 1999 , 2003 ) claims for the necessity of pre-reflective conscious, emotional, bodily responses for the development of an organism’s core and extended consciousness, I will argue that without these capacities any agent would be incapable of developing the sorts of somatic markers or saliency tags that enable affective reactions, and which are indispensable for effective decision-making and subsequent survival. My position, as presented here, remains agnostic about whether or not the creation of artificial consciousness is an attainable goal. (shrink)

Recently, philosophers and psychologists defending the embodied cognition research program have offered arguments against mindreading as a general model of our social understanding. The embodied cognition arguments are of two kinds: those that challenge the developmental picture of mindreading and those that challenge the alleged ubiquity of mindreading. Together, these two kinds of arguments, if successful, would present a serious challenge to the standard account of human social understanding. In this paper, I examine the strongest of these embodied cognition arguments (...) and argue that mindreading approaches can withstand the best of these arguments from embodied cognition. (shrink)

Several authors have hailed intuition as one of the defining features of expertise. In particular, while disagreeing on almost anything that touches on human cognition and artificial intelligence, Hubert Dreyfus and Herbert Simon agreed on this point. However, the highly influential theories of intuition they proposed differed in major ways, especially with respect to the role given to search and as to whether intuition is holistic or analytic. Both theories suffer from empirical weaknesses. In this paper, we show how, with (...) some additions, a recent theory of expert memory (the template theory) offers a coherent and wide-ranging explanation of intuition in expert behaviour. It is shown that the theory accounts for the key features of intuition: it explains the rapid onset of intuition and its perceptual nature, provides mechanisms for learning, incorporates processes showing how perception is linked to action and emotion, and how experts capture the entirety of a situation. In doing so, the new theory addresses the issues problematic for Dreyfus’s and Simon’s theories. Implications for research and practice are discussed. (shrink)

My comments will focus on the issue of what, according to Gallagher and Zahavi (2008, hereafter G&Z; all references will be to this book unless otherwise noted), the phenomenological approach can contribute to the cognitive sciences (including cognitive neuroscience), one of their major themes. Toward the end of the paper, I will say something about a second major theme of theirs, the relationship of phenomenology to philosophy of mind. Conventional wisdom within cognitive science has it is that phenomenology is hostile (...) to the scientific study of human cognition. Hubert Dreyfus, a self-declared phenomenologist, writes works with titles such as What computers can’t do (1972) and What computers still can’t do (1992), both of which urge that the attempt to understand the mind as a computational information-processor, at any rate, is doomed to failure. Since the computational, information-processing model is the only remotely worked-out scientific model of cognition that we have, it is not too surprising that phenomenology and cognitive science have generally been viewed as being at loggerheads. (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)

I consider three aspects in which machine learning and philosophy of science can illuminate each other: methodology, inductive simplicity and theoretical terms. I examine the relations between the two subjects and conclude by claiming these relations to be very close.

It has been commonplace in epistemology since its inception to idealize away from computational resource constraints, i.e., from the constraints of time and memory. One thought is that a kind of ideal rationality can be specified that ignores the constraints imposed by limited time and memory, and that actual cognitive performance can be seen as an interaction between the norms of ideal rationality and the practicalities of time and memory limitations. But a cornerstone of naturalistic epistemology is that normative assessment (...) is constrained by capacities: you cannot require someone to do something they cannot or, as it is usually put, ought implies can. This much we take to be uncontroversial. We argue that differences in architectures, goals and resources imply substantial differences in capacity, and that some of these differences are ineliminable. It follows that some differences in goals and architectural and computational resources matter at the normative level: they constrain what principles of normative epistemology can be used to describe and prescribe their behavior. As a result, we can expect there to be important epistemic differences between the way brains, individuals, and science work. (shrink)

Hermeneutics is usually defined as the theory and practice of interpretation. As a discipline it involves a long and complex history, starting with concerns about the proper interpretation of literary, sacred, and legal texts. In the twentieth century, hermeneutics broadens to include the idea that humans are, in Charles Taylor’s phrase, ‘self-interpreting animals’ (Taylor, 1985). In contrast to the narrowly prescriptive questions of textual interpretation, philosophical hermeneutics, as developed by thinkers like Heidegger, Gadamer, and Ricoeur, raises questions about the conditions (...) of possibility for human understanding — not how we should interpret or understand something, but what interpretation and understanding are and how they work. For the nineteenth-century philosopher Wilhelm Dilthey, the hermeneutical disciplines were very different from the disciplines of science, including the newly emerging science of psychology. In contrast to psychology, which, in part, attempts to explain the natural behaviour of human animals in causal terms, Dilthey (1926) thinks of the hermeneutical disciplines as attempting to under- stand the behaviour of human persons in terms of their experience and inner motivation. Inner life is not composed of a series of mechanistic starts and stops, but is woven together into a continuity (Zusammenhang) that has a structure, by.. (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)

A myth has arisen concerning Turing's paper of 1936, namely that Turing set forth a fundamental principle concerning the limits of what can be computed by machine - a myth that has passed into cognitive science and the philosophy of mind, to wide and pernicious effect. This supposed principle, sometimes incorrectly termed the 'Church-Turing thesis', is the claim that the class of functions that can be computed by machines is identical to the class of functions that can be computed by (...) Turing machines. In point of fact Turing himself nowhere endorses, nor even states, this claim (nor does Church). I describe a number of notional machines, both analogue and digital, that can compute more than a universal Turing machine. These machines are exemplars of the class of _nonclassical_ computing machines. Nothing known at present rules out the possibility that machines in this class will one day be built, nor that the brain itself is such a machine. These theoretical considerations undercut a number of foundational arguments that are commonly rehearsed in cognitive science, and gesture towards a new class of cognitive models. (shrink)

This dissertation argues that cognition is a kind of natural agency. Natural agency is the capacity that certain systems have to act in accordance with their own norms. Natural agents are systems that bias their repertoires in response to affordances in the pursuit of their goals. Cognition is a special mode of this general phenomenon. Cognitive systems are agents that have the additional capacity to actively take their worlds to be certain ways, regardless of whether the world is really that (...) way. In this way, cognitive systems are desituated. Desituatedness is the root of specifically cognitive capacities for representation and abstraction. There are two main reasons why this view needs defending. First, natural agency is typically viewed as incompatible with natural science because it is committed to a teleological mode of explanation. Second, cognition is typically held to be categorically distinct from natural agency. This dissertation argues against both of these views. It argues against the incompatibility of agency and natural science by demonstrating that systems biology, general systems theory, and sciences that deal with complex systems have typically underappreciated conceptual and theoretical resources for grounding agency in the causal structure of the world. These conceptual resources do not, however, reduce agency to systems theory because the normativity inherent in agency demands descriptive resources beyond those of even the most sophisticated systems theory. It argues against the categorical difference between natural agency and cognition by pointing out that separating cognition from a richer web of situated, ecologically embedded relations between the agent and the world generates the frame problem, which is an insuperable obstacle to making cognition that is sufficiently responsive to the complexity of the world. Rooting cognition in natural agency is a more robust empirical bet for theorizing cognition and artificial intelligence. (shrink)

In the following I show that Hubert Dreyfus’ account of skill rests on a misguided interpretation of Martin Heidegger’s work on understanding in Being and Time. Dreyfus separates understanding according to the analytic philosophical concept pair, so called ‘know-how’ and ‘knowledge-that’, that corresponds for him to the pragmatist differentiation between skillful acting and theoretical conceptual thinking. Contrary to that, Heidegger argues that only one form of understanding exists that is neither captured by ‘know-how’, ‘knowledge-that’ or a combination of both. Instead (...) of presupposing two radically different ways to engage with the world, one practical-agential, the other theoretical-conceptual, Heidegger shows that all genuine forms of comportments rest on the same form of understanding that exhibits the highest degree of intelligibility when we deal with the world ordinarily. The Heideggerian account therefore comes without the many dichotomies so often criticized in the literature on skill and understanding, and offers a radically different view of world disclosure and of what we do when we ‘theorize’. (shrink)

It is the contention of this paper that ethics of work ought to be anthropological, and artificial intelligence (AI) research and development, which is the focus of work today, should be anthropological, that is, human-centered. This paper discusses the philosophical and theological implications of the development of AI research on the intrinsic nature of work and the nature of the human person. AI research and the implications of its development and advancement, being a relatively new phenomenon, have not been comprehensively (...) interrogated in the social and ethical teachings of the Catholic Church. This paper, therefore, proposes a path for this interrogation by expounding a discourse which is believed to be epistemically helpful in the developing discourse of AI in the ethical and social teachings of the Church. The advancement in the research on AI is not only redefining the meaning of work, but, even more so, it is questioning the metaphysical notion of the human person and the theological notion of work as an intrinsic part in the selfhood and dignity of the human person. (shrink)

Investigamos o problema da continuidade entre (1) cognições básicas e (2) complexas, especificamente em relação à linguagem. Nossa hipótese é a de que visões contemporâneas da linguagem não inviabilizam necessariamente a abordagem bottom-up ― abordagens tipicamente enativistas. Primeiro apresentamos a posição de Daniel Hutto e Erik Myin (2013, 2017), representantes do Radically Enactive Cognition (REC), a qual assume o desafio da continuidade e identifica na linguagem o critério para uma distinção de tipo entre (1) e (2). Em seguida, estabelecemos a (...) posição Wittgensteiniana defendida por Moyal-Sharrock (2019), na qual a linguagem seria apenas mais uma habilidade de possível desenvolvimento para (1) e (2). Haveria, portanto, somente uma distinção de grau , não de tipo. Por mais que a avaliação de Moyal-Sharrock seja interessante no sentido de que parece evitar um ceticismo de continuidade (identificado por ela no REC), também encontramos problemas em sua visão. (shrink)

Fifty years of effort in artificial intelligence (AI) and the formalization of legal reasoning have produced both successes and failures. Considerable success in organizing and displaying evidence and its interrelationships has been accompanied by failure to achieve the original ambition of AI as applied to law: fully automated legal decision-making. The obstacles to formalizing legal reasoning have proved to be the same ones that make the formalization of commonsense reasoning so difficult, and are most evident where legal reasoning has to (...) meld with the vast web of ordinary human knowledge of the world. Underlying many of the problems is the mismatch between the discreteness of symbol manipulation and the continuous nature of imprecise natural language, of degrees of similarity and analogy, and of probabilities. (shrink)

In his genetic phenomenology, Husserl introduces types, pre-predicative frames of experience that guide the perception and cognition of objects. In this essay, I argue that there are two types that are functionally almost identical to Kant’s schemata. To support this conclusion, I first present an interpretation of Kant’s discussion of schemata. I argue that we must see schemata as pure, a priori cognitions that involve only pure intuition, pure concepts of the understanding, and the imagination. I offer two analogies to (...) explain how schemata function to subsume objects under concepts and to anticipate possible objects of experience before moving on to discuss the schema of substance. Next, I present a brief explanation of Husserl’s genetic phenomenology, organizing my presentation around the idea of apperception. This paves the way for a demonstration of how the fundamental type is best understood as standing at the center of a cluster of concepts, including apperception, passive belief, natural bodies, and the one spatio-temporal horizon of experience. I argue that the fundamental type is central to Husserl’s attempt to ground logic in pre-predicative experience. Finally, I compare two specific types with schemata on the grounds cultivated in the previous sections. The first of these types, the fundamental type, functions to pre-predicatively anticipate objects of possible experience, just as schemata do. The second of these types, which is implied by but never discussed in Husserl’s work, serves to mediate between a formal system of rules and an intuitive grasp of the world, just as schemata do. (shrink)

Since the emergence of the innovative field of artificial intelligence in the 1960s, the late Hubert Dreyfus insisted on the ontological distinction between man and machine, human and artificial intelligence. In the different editions of his classic and influential book What computers can’t do, he posits that an algorithmic machine can never fully simulate the complex functioning of the human mind—not now, nor in the future. Dreyfus’ categorical distinctions between man and machine are still relevant today, but their relation has (...) become more complex in our increasingly data-driven society. We, humans, are continuously immersed within a technological universe, while at the same time ubiquitous computing, in the words of computer scientist Mark Weiser, “forces computers to live out here in the world with people” The cell phone reader. Peter Lang Publishing, New York, 2006, p 20). Dreyfus’ ideas are therefore challenged by thinkers such as Weiser, Kevin Kelly, Bruno Latour, Philip Agre, and Peter Paul Verbeek, who all argue that humans are much more intrinsically linked to machines than the original dichotomy suggests—they have evolved in concert. Through a discussion of the classical concepts of individuum and ‘authenticity’ within Western civilization, this paper argues that within the ever-expanding data-sphere of the twenty-first century, a new concept of man as ‘aggregate of data’ has emerged, which further erodes and undermines the categorical distinction between man and machine. This raises political and ethical questions beyond the confines of technology and artificial intelligence. Moreover, this seemingly never-ending debate on what computers should do provokes the philosophical necessity to once again define the concept of what it is to be ‘human.’. (shrink)

As art produced by autonomous machines becomes increasingly common, and as such machines grow increasingly sophisticated, we risk a confusion between art produced by a person but mediated by a machine, and art produced by what might be legitimately considered a machine artist. This distinction will be examined here. In particular, my argument seeks to close a gap between, on one hand, a philosophically grounded theory of art and, on the other hand, theories concerned with behavior, intentionality, expression, and creativity (...) in natural and artificial agents. This latter set of theories in some cases addresses creative behavior in relation to visual art, music, and literature, in the frequently overlapping contexts of philosophy of mind, artificial intelligence, and cognitive science. However, research in these areas does not typically address problems in the philosophy of art as a central line of inquiry. Similarly, the philosophy of art does not typically address issues pertaining to artificial agents. (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.

Contemporary ICTs such as speaking machines and computer games tend to create illusions. Is this ethically problematic? Is it deception? And what kind of “reality” do we presuppose when we talk about illusion in this context? Inspired by work on similarities between ICT design and the art of magic and illusion, responding to literature on deception in robot ethics and related fields, and briefly considering the issue in the context of the history of machines, this paper discusses these questions through (...) the lens of stage magic and illusionism, with the aim of reframing the very question of deception. It investigates if we can take a more positive or at least morally neutral view of magic, illusion, and performance, while still being able to understand and criticize the relevant phenomena, and if we can describe and evaluate these phenomena without recourse to the term “deception” at all. This leads the paper into a discussion about metaphysics and into taking a relational and narrative turn. Replying to Tognazzini, the paper identifies and analyses two metaphysical positions: a narrative and performative non-dualist position is articulated in response to what is taken to be a dualist, in particular Platonic, approach to “deception” phenomena. The latter is critically discussed and replaced by a performative and relational approach which avoids a distant “view from nowhere” metaphysics and brings us back to the phenomena and experience in the performance relation. The paper also reflects on the ethical and political implications of the two positions: for the responsibility of ICT designers and users, which are seen as co-responsible magicians or co-performers, and for the responsibility of those who influence the social structures that shape who has power to deceive or to let others perform. (shrink)

The question “What is the nature of experience?” is of perennial philosophical concern. It deals not only with the nature of experience qua experience, but additionally with related questions about the experiencing subject and that which is experienced. In other words, to speak of the philosophical problem of experience, one must also address questions about mind, world, and the various relations that link them together. Both William James and Kitarō Nishida were deeply concerned with these issues. Their shared notion of (...) “pure experience” is the conceptual cornerstone of their attempt to deal with the philosophical problem of experience. This dissertation is an analysis of “pure experience” and its relevance to several issues in contemporary hilosophy of mind. Drawing upon James’s and Nishida’s “pure experience”, I argue both for a sensorimotor-based, “extended” conception of consciousness and a bodily skills-based account of moral psychology. (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)

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 is considered in some quarters that hypothesis‐driven methods are the only valuable, reliable or significant means of scientific advance. Data‐driven or ‘inductive’ advances in scientific knowledge are then seen as marginal, irrelevant, insecure or wrong‐headed, while the development of technology—which is not of itself ‘hypothesis‐led’ (beyond the recognition that such tools might be of value)—must be seen as equally irrelevant to the hypothetico‐deductive scientific agenda. We argue here that data‐ and technology‐driven programmes are not alternatives to hypothesis‐led studies in (...) scientific knowledge discovery but are complementary and iterative partners with them. Many fields are data‐rich but hypothesis‐poor. Here, computational methods of data analysis, which may be automated, provide the means of generating novel hypotheses, especially in the post‐genomic era. BioEssays 26:99–105, 2004. © 2003 Wiley Periodicals, Inc. (shrink)

El objetivo de este artículo es analizar y revisar las normas que filosóficamente asociamos al proceso de testimonio, inquiriendo hasta qué puntoson0 consistentes con los conocimientos empíricos de las ciencias cognitivas.Tradicionalmente, el problema del testimonio surgía cuando, desde una epistemología de corte individualista, se suponía, siguiendo el dictum ya marcado en la Modernidad tanto por racionalistas como por empiristas, de que el conocimiento debía ser testado personalmente. Sin embargo, disciplinas y enfoques recientes, como la Cognición Socialmente Distribuida y la Epistemología (...) Social ofrecen otra vía al considerar al grupo la unidad cognitiva realmente significativa e intentar solucionar el problema del testimonio desde esa perspectiva. Nuestro objetivo es analizar los motivos por los que la CSD es un buen modelo para explicar algunas de las paradojas y problemas epistemológicos cuando tenemos en cuenta el papel del testimonio en el desarrollo de la ciencia. The goal of this paper is to review and analyze norms philosophically associated with the process of testimony and to investigate to what extent they are consistent with empirical knowledge supplied by cognitive science. Traditionally, the problem of testimony used to arise when it was supposed, from the viewpoint of an individualistic epistemology, that followed the dictum stated by rationalists and empiricists in Modernity, that knowledge had to be tested personally. However, recent disciplines and approaches, like Socially Distributed Cognition and Social Epistemology, provide alternative ways of thinking. This is the case when we consider the group as the truly significant cognitive unit and from such perspective we try to solve the problem of testimony. Therefore, our aim is to examine the reasons why SDC offers a good model for explaining some of the paradoxes and epistemological problems that arise when we consider the issue of testimony in the development of science. (shrink)

This paper engages the extended cognition controversy by advancing a theory which fits nicely into an attractive and surprisingly unoccupied conceptual niche situated comfortably between traditional individualism and the radical externalism espoused by the majority of supporters of the extended mind hypothesis. I call this theory moderate active externalism, or MAE. In alliance with other externalist theories of cognition, MAE is committed to the view that certain cognitive processes extend across brain, body, and world—a conclusion which follows from a theory (...) I develop in “Synergic Coordination: an argument for cognitive process externalism.” Yet, in contradistinction with radical externalism, and in agreement with the internalist orthodoxy, MAE defends the view that mental states are situated invariably inside our heads. This is done, inter alia, by developing a novel hypothesis regarding the vehicles of content (in “Extended cognition without externalized mental states”, and by criticizing arguments in support of mental states externalism (in “Reflections and objections”). The result, I believe, is a coherent theoretical alternative worthy of serious consideration. (shrink)

In recent years there has been growing attention paid to a kind of human action or activity which does not issue from a process of reflection and deliberation and which is described as, e.g., ‘engaged coping’, ‘unreflective action’, and ‘flow’. Hubert Dreyfus, one of its key proponents, has developed a phenomenology of expertise which he has applied to ethics in order to account for ‘everyday ongoing ethical coping’ or ‘ethical expertise’. This article addresses the shortcomings of this approach by examining (...) the pre-reflective ethical know-how individuals first develop and on which all later forms of ethical expertise are dependent. In the first section an account is given of the ‘ethical second nature’ which every individual develops from childhood onwards and which forms the basis of pre-reflective ethical know-how. The acquisition of an ethical second nature early on opens up the very domain of ‘the ethical’ for us in the first place and is constitutive of our sensitivity to it. The second section turns to pre-reflective ethical know-how and whether it is conceptual in nature. Just as sensorimotor understanding forms the basis of our reflective perceptual concepts, pre-reflective ethical know-how is similarly proto-conceptual and is the source of our reflective ethical and moral concepts. Finally, the third section examines the process whereby ethical second nature and pre-reflective ethical know-how are actually acquired, namely, through immersion in an ‘ethical world’. This world consists of both the web of ethical meanings and significances which has evolved in a particular society or community as well as its members whose actions and interactions continually reproduce that web. (shrink)

Fodor's thinking on modularity has been influential throughout a range of the areas studying cognition, chiefly as a prod for positive work on modularity and domain-specificity. In The Mind Doesn't Work That Way, Fodor has developed the dark message of The Modularity of Mind regarding the limits to modularity and computational analyses. This paper offers a critical assessment of Fodor's scepticism with an eye to highlighting some broader issues in play, including the nature of computation and the role of recent (...) empirical developments in the cognitive sciences in assessing Fodor's position. (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)

Cognitively-oriented theories have dominated the recent history of the study of emotion. However, critics of this perspective suggest the role of the body in the experience of emotion is largely ignored by cognitive theorists. As an alternative to the cognitive perspective, critics are increasingly pointing to William James’ theory, which emphasized somatic aspects of emotions. This emerging emphasis on the embodiment of emotions is shared by those in the field of AI attempting to model human emotions. Behavior-based agents in AI (...) are attempts to model the role the body might play in the experiencing of emotions. Progress in creating such behavior-based models that function in their environments has been slow, suggesting some potential problems with Jamesian alternatives to cognitive perspectives of emotions. Heidegger’s and Merleau-Ponty’s conceptions of embodiment are suggested as alternatives to James’ and as means for addressing the shortcomings of the cognitive perspective. (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)