Human intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in (...) the world, which would require them to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. This helps to explain the practical problems in implementing artificial intelligence algorithms. (shrink)

The following is a summary of the author’s five-stage model of adult skill acquisition, developed in collaboration with Hubert L. Dreyfus. An earlier version of this article appeared in chapter 1 of Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer (1986, Free Press, New York).

We assume that acting ethically is a skill. We then use a phenomenological description of five stages of skill acquisition to argue that an ethics based on principles corresponds to a beginner’s reliance on rules and so is developmentally inferior to an ethics based on expert response that claims that, after long experience, the ethical expert learns to respond appropriately to each unique situation. The skills model thus supports an ethics of situated involvement such as that of Aristotle, John Dewey, (...) and Carol Gilligan against the detached, rationalist ethics of Kant, John Rawls, Lawrence Kohlberg, and Jürgen Habermas. (shrink)

The acquisition of a new skill usually proceeds through five stages, from novice to expert, with a sixth stage of mastery available for highly motivated performers. In this chapter, we re-state the six stages of the Dreyfus Skill Model, paying new attention to the transitions and interrelations between them. While discussing the fifth stage, expertise, we unpack the claim that, “when things are proceeding normally, experts don’t solve problems and don’t make decisions; they do what normally works” (Dreyfus (...) & Dreyfus, 1988, pp. 30 – 31). This leads us to offer an account of the “perspectival deliberation” that arises for experts and masters and that is distinct from the calculative deliberation characteristic of the lower stages of skillfulness. (shrink)

The author proposes a neural-network-based explanation of how a brain might acquire intuitive expertise. The explanation is intended merely to be suggestive and lacks many complexities found in even lower animal brains. Yet significantly, even this simplified brain model is capable of explaining the acquisition of simple skills without developing articulable rules for behavior or a model of the skill domain or an explicit identification of which observables in the environment are necessary for skillful behavior. Furthermore, no memories of prior (...) experiences during the learning phase are explicitly stored and accessed during behavior. The explanation thus calls into doubt many conventional and intuitively reasonable assumptions concerning the learning and production of intuitive expertise. (shrink)

Influenced by recent neuroscientific research, the author proposes that the cognition underlying creativity should be seen as a sequential process requiring the appropriate interspersing of both intuitive and analytical modes of thought. Each of these modes may concern itself with either identifying the information that is the focus of potentially creative cognition or with the creative perspective from which to view the information. Here, perspective refers to the salience of various elements of the information set, of which some elements might (...) be seen as crucially important to a creative treatment of the situation, while other pieces of information may appear as merely contextually relevant. (shrink)

One's model of skill determines what one expects from neural network modelling and how one proposes to go about enhancing expertise. We view skill acquisition as a progression from acting on the basis of a rough theory of a domain in terms of facts and rules to being able to respond appropriately to the current situation on the basis of neuron connections changed by the results of responses to the relevant aspects of many past situations. Viewing skill acquisition in this (...) ways suggests how one can avoid the problem currently facing AI of how to train a network to make human-like generalizations. In training a network one must progress, as the human learner does, from rules and facts to wholistic responses. As to future work, from our perspective one should not try to enhance expertise as in traditional AI by attempting to construct improved theories of a domain, but rather by improving the learner's access to the relevant aspects of a domain so as to facilitate learning from experience. (shrink)

This chapter provides a classification scheme for artificial intelligence (AI) predictions, and tools for analyzing their reliability and uncertainties. It presents a series of brief case studies of some of the most famous AI predictions: the initial Dartmouth AI conference; Hubert Dreyfus' criticism of AI; Ray Kurzweil's predictions in The Age of Spiritual Machines; and Stephen Omohundro's AI Drives. The chapter takes every falsifiable statement about future AI to be a prediction. Thus the following four categories are all predictions: (...) Timelines and outcome predictions, Scenarios, Plans, and Issues and metastatements. The following schema was suggested by a review of the AI predictions literature : Causal models, Non‐causal models, The outside view, Philosophical arguments, and Expert judgment. The chapter looks at four prominent AI predictions, and analyses their accuracy, attempting to gain insights that will be useful for assessing future prediction. (shrink)

The work consists mainly of a critical examination of various arguments which seek to show that machines cannot do something which humans can do. In particular the abilities to think, act intelligently, and behave purposefully are examined. The arguments dealt with are from works by Alan Turing, Keith Gunderson, Hubert Dreyfus, Richard Taylor, and Norman Malcolm. The author also considers an argument of his own against machines being able to make mistakes. The main conclusion of the work is that (...) each of the arguments in question fails. That is, none of the arguments show that machines lack the ability in question. (shrink)

Dans la première préface à sa thèse Folie et déraison, Foucault remercie trois hommes qu’il considérait comme ses maîtres et qui ont considérablement influencé son travail. Ainsi, dans sa conférence inaugurale au Collège de France en décembre 1970, ces mêmes noms sont invoqués par Foucault : Georges Canguilhem, Georges Dumézil et Jean Hyppolite. Le rapport de ces trois figures, considérées individuellement, à Foucault a été sujet de discussions plus ou moins détaillées. Cet article explore les affinités intellectuelles et les tensions (...) entre ces trois intellectuels. Canguilhem et Hyppolite avaient été contemporains à l’École Normale Supérieure dans les années 1920, et, des années après, collègues à l’Université de Strasbourg. Notamment, en 1965, ils participent à l’entretien télévisé médié par Alain Badiou et Dina Dreyfus. Même si Dumézil et Hyppolite avaient été collègues au Collège de France, ils n’ont pas discuté les travails l’un de l’autre. Dumézil, il semble, n’a pas discuté le travail de Canguilhem ; ce dernier, en revanche, a considéré soit l’œuvre de Dumézil que celle d’Hyppolite. Cet article analyse le compte rendu de Les mots et les choses par Canguilhem, où il signale l’importance de Dumézil pour le livre de Foucault ; et un rapport d’un séminaire très peu connu, qui a eu lieu dans l’automne 1970, dont Foucault discute les travaux de Dumézil et Canguilhem répondit. L’article donc considère la lecture d’Hyppolite par Canguilhem dans son texte « Hegel en France », et dans les hommages qu’il a écrit à son ami et collègue, après la mort d’Hyppolite en 1968. Une analyse de la lecture de Canguilhem de ses deux contemporains nous aide à mieux situer Canguilhem dans le contexte des débats intellectuels de la première moitié du XX e siècle. (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)

In this book of essays, he argues that morality cannot be defined solely by rational and universal principles; instead, a major place must be found for changing and conflicting ideals, values peculiar to specific times and cultures.

Against Davidsonian (or deflationary) realism, it is argued that it is coherent to believe that science can in principle give us access to the functional components of the universe as they are in themselves in distinction from how they appear to us on the basis of our quotidian concerns or sensory capacities. The first section presents the deflationary realist's argument against independence. The second section then shows that, although Heidegger pioneered the deflationary realist account of the everyday, he sought to (...) establish a robust realist account of science. Next, the third section develops two different sides of Heidegger's thinking. Resources developed by Thomas Kuhn are drawn on to work out Heidegger's account of plural worlds. This argument shows that it makes sense to talk about things-in-themselves independent of our practices, but falls short of the robust realist claim that we can have access to things as they are in themselves independent of our practices. So, secondly, Saul Kripke's account of rigid designation is drawn on to work out Heidegger's account of formal designation. On the basis of a Heideggerian elaboration of rigid designation, it is argued that we do indeed have practices for achieving access to things independent of all our practices. But this second argument leaves us unable to reject metaphysical nominalism. So, thirdly, it is proposed that the currently most persuasive philosophical argument for nominalism depends on a logico-mathematical space of possibilities. But the proto-theoretical space opened by the pre-scientific access practices has features that provide reasons for believing that the independent stuff to which we have access has a determinate structure and specific causal powers. (shrink)

Activist, journalist, and theorist, Eqbal Ahmad was admired by and consulted by activists and policymakers. He inspired new ways of thinking about militant Islam, the U.S. involvement in Vietnam, and the Cold War. This intellectual biography relates Ahmad's life to the political transformations that occurred globally in the second half of the twentieth century"--Provided by publisher.

Detachment, Involvement, and Rationality: are we Essentially Rational Animals? Philosophers have long thought that what differentiates humans from mere animals is that humans are essentially rational. The rational nature of human beings lies in their ability to detach themselves from ongoing involvement and to ask for as well as give reasons for activity. According to the philosophical tradition, human action and perception generally should be understood in light of this ability. This essay examines a contemporary version of this conviction, one (...) promulgated by John McDowell. McDowell follows the tradition in suggesting that people are always able to step back and to ask as well as answer why questions about what they are doing, i.e., they always have reasons for their actions. This essay shows that people have no reasons for many of the things they do. They often, instead, simply respond to shifting situational fields of attraction and repulsion. These attractions and repulsions cannot be captured in propositional form—any attempt to describe, or even just name, them turns them into objects and robs them of their motivational force. The demands of the situation are not available as reasons, but exist only as embodied in actions. McDowell, consequently, errs in claiming that conceptual capacities are inextricably implicated in human activity. Nor is the detached, rational way of being any more essential to human life than is involved coping. (shrink)

When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...) such activity? A close look at the methodology of interpretive social science reveals several abilities necessary to make a social scientific discovery, and one capacity necessary to possess any of them is imagination. For machines to make discoveries in social science, therefore, they must possess imagination algorithms. (shrink)

Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order widely observed throughout nature. Kauffman here argues that self-organization plays (...) an important role in the emergence of life itself and may play as fundamental a role in shaping life's subsequent evolution as does the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt remain poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biologicalscience itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences. (shrink)

This volume argues for a new image of science that understands both natural and social phenomena to be the product of mechanisms, casting the work of science as an effort to understand those mechanisms. Glennan offers an account of the nature of mechanisms and of the models used to represent them in physical, life, and social sciences.

In this book, Stuart Hampshire argues that no individual and no modern society can avoid conflicts between incompatible moral interests.

After a year at Brandeis I was hired by MIT, and then I realized for the first time that there was a struggle and that I was on the losing end of it. The people there, particularly Judith Thomson, who is still at MIT, called Continental philosophy “stone-age philosophy,” and wouldn’t let me teach in the graduate program at all, because they thought that it would just corrupt the students and waste their time. I did feel a little unhappy because (...) I wasn’t allowed to teach graduate students, but not very, because I had never taught graduate students, so I didn’t think I had to, and I was still feeling grateful that I could teach philosophy anywhere at all. And I had Todes to talk to, and he was writing his brilliant thesis. (shrink)

Michel Foucault's The Archaeology of Knowledge was published in March 1969; Discipline and Punish in February 1975. Although only six years apart, the difference in tone is stark: the former is a methodological treatise, the latter a call to arms. What accounts for the radical shift in Foucault's approach? Foucault's time in Tunisia had been a political awakening for him, and he returned to a France much changed by the turmoil of 1968. He taught at the experimental University of Vincennes (...) and then moved to a prestigious position at the Collège de France. He quickly became involved in activist work concerning prisons and health issues such as abortion rights, and in his seminars he built research teams to conduct collaborative work, often around issues related to his lectures and activism. Foucault: The Birth of Power makes use of a range of archival material, including newly available documents at the Bibliothèque nationale de France, to provide a detailed intellectual history of Foucault as writer, researcher, lecturer and activist. Through a careful reconstruction of Foucault's work and preoccupations, Elden shows that, while Discipline and Punish may be the major published output of this period, it rests on a much wider range of concerns and projects. (shrink)

A fascinating exploration of the very essence of life itself sheds new light on the order and evolution in complex life systems and defines and explains autonomous agents and work within the contexts of thermodynamics and information theory, setting the stage for a dramatic technological revolution. 50,000 first printing.

Interest in spirituality in the workplace and in leaders’ spirituality has grown in the last two decades, paralleled by the emergence of spiritual leadership theories and research. Despite evidence that spirituality is important to many leaders, the literature fails to adequately address the intersections of spiritual, leader, and moral development. A whole person and integrated approach to these three types of development seems beneficial to individual leaders, businesses, and society. In this article we first review spiritual, moral, and leader development (...) literature. Then, drawing on the theory of being-centered leadership, we present a framework which addresses the parallel and intertwined nature of spiritual, leader, and moral development. Our proposed framework includes markers of the three types of development and is inclusive of multiple spiritual development traditions. Four practices and processes of spiritual development are also explored and related to leader and moral development processes. Implications for theory, research, and practice are presented. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

At Home in the Universe presents and extends the intellectual core ofKauffman's earlier book The Origins of Order (OUP 1993) for any intelligentgeneral reader can understand and appreciate. The reader is very effectivelyinvited into Kauffman's vision and thought processes, in one of the moreexhilarating and important books of popular science.

Emergentism is often imagined to be opposed to mechanism. If some phenomenon admits of mechanistic explanation, it is thought to be ipso facto not emergent. In this paper I argue to the contrary that emergence requires mechanism. Whenever some emergent phenomenon occurs, there is a mechanism responsible for its emergence. To make this case I show how mechanisms can explain four commonly held characteristics of emergent phenomena – dependence, autonomy, novelty and holism. By looking at the various kinds of emergence-generating (...) mechanisms, it will be possible to classify different kinds of emergent phenomena by the particular features of the mechanisms that generate them, and so to bring some order to diversity of phenomena that we call emergent. (shrink)