Don Ihde is one of the world's foremost thinkers on the place of technologies in our lives. Over the course of a long career, he has built a unique and useful perspective by expanding on phenomenological and American pragmatist philosophy and has developed wide-ranging insights and conceptual tools for describing the details of our experience across the various areas of human activity, including scientific practice, anthropological history, computer interface, design, art history, and the technologies of everyday life. The Critical Ihde (...) brings together many of Ihde's most influential writings, as well as a number of under-recognized gems. Across these works are examples of his influential contributions to the phenomenology of human auditory and visual experience, his foundational work on the phenomenology of technology, and his thoughts on the technologies of scientific practice, including laboratory and medical imaging. Further, these chapters reveal the development of "postphenomenology," Ihde's original philosophical perspective, one that continues to flourish today across the work of a growing interdisciplinary and international collective of scholars. (shrink)

A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.

This chapter develops a social epistemological analysis of Web‐based search engines, addressing the following questions. First, what epistemic functions do search engines perform? Second, what dimensions of assessment are appropriate for the epistemic evaluation of search engines? Third, how well do current search engines perform on these? The chapter explains why they fulfil the role of a surrogate expert, and proposes three ways of assessing their utility as an epistemic tool—timeliness, authority prioritisation, and objectivity. “Personalisation” is a current trend in (...) Internet‐delivered services, and consists in tailoring online content to the interests of the individual user. It is argued here that personalisation threatens the objectivity of search results. Objectivity is a public good; so there is a prima facie case for government regulation of search engines. (shrink)

This paper presents the main topics, arguments, and positions in the philosophy of AI at present (excluding ethics). Apart from the basic concepts of intelligence and computation, the main topics of ar-tificial cognition are perception, action, meaning, rational choice, free will, consciousness, and normativity. Through a better understanding of these topics, the philosophy of AI contributes to our understand-ing of the nature, prospects, and value of AI. Furthermore, these topics can be understood more deeply through the discussion of AI; so (...) we suggest that “AI Philosophy” provides a new method for philosophy. (shrink)

This thesis explores and discusses foundational issues concerning the relationship between phenomenological philosophy and the enactive approach to cognitive science, with the aim of clarifying, developing, and promoting the project of enactive phenomenology. This project is framed by three general ideas: 1) that the sciences of mind need a phenomenological grounding, 2) that the enactive approach is the currently most promising attempt to provide mind science with such a grounding, and 3) that this attempt involves both a naturalization of phenomenology (...) and a phenomenologization of the concept of nature. More specifically, enactive phenomenology is the project of pursuing mutually illuminative exchanges between, on the one hand, phenomenological investigations of the structures of lived experience and embodied existence and, on the other, scientific accounts of mind and life – in particular those framed by theories of biological self-organization. The thesis consists of two parts. Part one is an introductory essay that seeks to clarify some of enactive phenomenology’s overarching philosophical commitments by tracing some of its historical roots. Part two is a compilation of four articles, each of which intervenes in a different contemporary debate relevant to the dissertation’s project. (shrink)

Hubert Dreyfus’s work in the phenomenology of agency is distinctive for the privileged and central position he gives to our ability to navigate the everyday world. Drawing on the existential-phenomenological tradition—particularly the work of Heidegger and Merleau-Ponty—Dreyfus characterizes skillful embodied engagement with the world (skillful coping) as the paradigmatic instance of human intelligence and agency. He uses the notion of skillful coping to push against the emphasis on deliberation he finds in the traditional view of human agency. One of Dreyfus’s (...) central claims is that the complex understanding involved in skillful coping need not be highly reflective. -/- Dreyfus connects the ability to respond to the particular significances of a concrete situation with typically existential concerns, such as authenticity. The way Dreyfus connects skillful coping with authenticity exemplifies his syncretic approach in which he synthesizes and, arguably, extends the work of thinkers such as Heidegger and Merleau-Ponty. -/- The concluding section examines one worry about Dreyfus’s characterization of expertise within the skillful coping paradigm. Specifically, does Dreyfus’s rejection of the tradition’s emphasis on deliberation lead him to excessively minimize the role of deliberation as one develops and expands expertise? My suggestion is that there is space for such deliberate learning and skill development for experts within the framework Dreyfus proposes. To flesh out the place of deliberate learning, I draw on both Dreyfus and Merleau-Ponty to suggest how intentionally (and deliberately) trying to live in a certain way is not at odds with but is ultimately crucial for the expertise of absorbed, fluid, and skillful coping in a practical world. (shrink)

In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For instance, Searle, in his (...) Chinese room objection, argues that however sophisticated a computational system is, it can never exhibit intentionality; thus, would also fail to exhibit consciousness or any of its varieties. This paper argues that the proposed architecture mentioned above answers the problem posed by Searle, at least in part. Specifically, it argues that we could reformulate Searle’s worries in the Chinese room in terms of the three-stage artificial qualia model. And by doing so, we could see that the person doing all the translations in the room could realize the three areas in the proposed framework. Consequently, this demonstrates the actualization of self-consciousness in machines. (shrink)

This chapter describes the conceptual foundations of cognitive science during its establishment as a science in the 20th century. It is organized around the core ideas of individual agency as its basic explanans and information-processing as its basic explanandum. The latter consists of a package of ideas that provide a mathematico-engineering framework for the philosophical theory of materialism.

If the intelligence of artificial systems were to surpass that of humans significantly, this would constitute a significant risk for humanity. Time has come to consider these issues, and this consideration must include progress in AI as much as insights from the theory of AI. The papers in this volume try to make cautious headway in setting the problem, evaluating predictions on the future of AI, proposing ways to ensure that AI systems will be beneficial to humans – and critically (...) evaluating such proposals. (shrink)

Instructional technology, and the cognitivist and systems paradigms that underpin it, grew out of the military-industrial complex during the Cold War. Much as the Pentagon and this military complex defined the architecture of the Internet, they also essentially created, ex nihilo, the fields of instructional technology and instructional design. The results of the ongoing dominance or influence of the Pentagon in these specific disciplines have been traced in research that appeared during the final phases of the Cold War. But this (...) research has not been updated to reflect circumstances now most definitive of the post–Cold War world: the rapid development of Internet infrastructures and applications, and the aggressive expansion of US military spending and activity. Tracing the imprint left by the US military on instructional technology and design, this paper considers how this influence may now extend, like the Internet itself, into schools and the university. It will conclude by stressing that the end of the Cold War, along with more recent developments concerning the US military, presents a juncture offering both opportunity and challenge to the evolving field of educational technology or “e-learning.”. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...) from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

Philosophical analyses of scientific methodology have long understood intuition to be incompatible with a rule based reasoning that is often considered necessary for a rational scientific method. This paper seeks to challenge this contention by highlighting the indispensable role that intuition plays in the application of methodologies for scientific discovery. In particular, it seeks to outline a positive role for intuition and personal judgment in scientific discovery by exploring a comparison between the use of heuristic reasoning in scientific practice and (...) engineering design. While these discussions share many features, it will also be shown that the successful use of heuristics in engineering design is often considered to depend on a crucial factor that is markedly absent from accounts of the use of heuristics in scientific discovery; experienced judgment. In the final sections of this paper, I will compare attitudes to the role of computer analysis in scientific and engineering practices, with the aim of showing how the limitations of scientific discovery machines reveal the need for including intuition in philosophical accounts of heuristic reasoning in scientific discovery. (shrink)

I develop a “two-systems” interpretation of Husserl’s theory of belief. On this interpretation, Husserl accounts for our sense of the world in terms of (1) a system of embodied horizon meanings and passive synthesis, which is involved in any experience of an object, and (2) a system of active synthesis and sedimentation, which comes on line when we attend to an object’s properties. I use this account to defend Husserl against several forms of Heideggerean critique. One line of critique, recently (...) elaborated by Taylor Carman, says that Husserl wrongly loads everyday perception with explicit beliefs about things. A second, earlier line of critique, due to Hubert Dreyfus, charges Husserl with thinking of belief on a problematic Artificial Intelligence (AI) model which involves explicit rules applied to discrete symbol structures. I argue that these criticisms are based on a conflation of Husserl’s two systems of belief. The conception of Husserlian phenomenology which emerges is compatible with Heideggerean phenomenology and associated approaches to cognitive science (in particular, dynamical systems theory). (shrink)

Prior research on student question-asking has primarily been conducted from a cognitive, epistemological standpoint. In contrast, we present a hermeneutic-phenomenological investigation that emphasizes the moral-practical context in which question-asking functions as a situated way of being in the midst of practice. More particularly, we present a hermeneutic study of student question-asking in a graduate seminar on design theory. The study offers a unique moral-practical perspective on this commonly studied phenomenon. Our analysis yielded four themes regarding the moral-practical intricacies of question-asking (...) in this setting, with a particular focus on time-related constraints on participation, various types of background understanding, and value-laden expectations that participants encountered in this complex ecology of practice. (shrink)

Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be fully understood or categorically (...) defined. We propose a rational framework built on a set of logically inter-connected conjectures to specifically recognize this neglected phase in the overall design process of intelligent systems for practical problem-solving applications. (shrink)

Camus published an essay entitled ‘Nietzsche and Nihilism,’ which was later incorporated into The Rebel . Camus' aim was to assess Nietzsche's response to the problem of nihilism. My aim is to do the same with Camus. The paper explores Camus' engagement with nihilism through its two major modalities: with respect to the individual and the question of suicide in The Myth of Sisyphus , and with respect to the collective and the question of murder in The Rebel . While (...) a Nietzschean influence thoroughly suffuses both books, it is in the second that Camus' most explicit, and most critical, engagement with the German philosopher takes place. The crux of Camus' critique of Nietzsche is that the absolute affirmation of existence he proposes as a response to nihilism cannot say ‘no’ to murder. In the terms of Camus' discussion in The Rebel , Nietzsche's philosophy is thus culpable in the straying of rebellion from its own foundations and its slide into bloody revolution. First, the paper argues that Camus' criticisms of Nietzsche are misplaced. Camus focuses his analysis on sections of the problematic text The Will to Power and misses important sections of Nietzsche's published texts which in fact support the condemnation of revolution which is the project of The Rebel . However, the paper argues that Camus moves beyond Nietzsche in radically democratizing the response to nihilism. While Nietzsche's hopes for the creation of meaning are focused on exceptional individuals, Camus insists that any response to nihilism needs to be accessible to the average person. Such a move is laudable, but it raises a number of questions and challenges regarding the type of problem nihilism is, and how these might be addressed. (shrink)

This paper surveys some recent work on realization in the philosophy of mind and the philosophy of science.

Although philosophy has been only a minor contributor to cognitive science to date, this paper describes two projects in naturalistic philosophy of mind and one in naturalistic philosophy of science that have been pursued during the past 30 years and that can make theoretical and methodological contributions to cognitive science. First, stances on the mind–body problem (identity theory, functionalism, and heuristic identity theory) are relevant to cognitive science as it negotiates its relation to neuroscience and cognitive neuroscience. Second, analyses of (...) mental representations address both their vehicles and their contents; new approaches to characterizing how representations have content are particularly relevant to understanding the relation of cognitive agents to their environments. Third, the recently formulated accounts of mechanistic explanation in philosophy of science both provide perspective on the explanatory project of cognitive science and may offer normative guidance to cognitive science (e.g., by providing perspective on how multiple disciplinary perspectives can be integrated in understanding a given mechanism). (shrink)

BackgroundExpertise has been a contentious concept in Evidence-Based Medicine. Especially in the early days of the movement, expertise was taken to be exactly what EBM was rebelling against—the authoritarian pronouncements about “best” interventions dutifully learned in medical schools, sometimes with dire consequences. Since then, some proponents of EBM have tried various ways of reincorporating the idea of expertise into EBM, with mixed results. However, questions remain. Is expertise evidence? If not, what is it good for, if anything?MethodsIn this article, I (...) describe and analyze the three historical models of expertise integration in EBM and discuss the difficulties in putting each into practice. I also examine accounts of expertise from disciplines outside of medicine, including philosophy, sociology, psychology, and science and technology studies to see if these accounts can strengthen and clarify what EBM has to say about expertise.ResultsOf the accounts of expertise discussed here, the Collins and Evans account can do most to clarify the concept of expertise in EBM.ConclusionsWith some additional clarification from EBM proper, theoretical resources from other disciplines might augment the current EBM account of expertise. (shrink)

Recent years have seen growing evidence of a fruitful engagement between phenomenology and cognitive science. This paper confronts an in-principle problem that stands in the way of this intellectual coalition, namely the fact that a tension exists between the transcendentalism that characterizes phenomenology and the naturalism that accompanies cognitive science. After articulating the general shape of this tension, I respond as follows. First, I argue that, if we view things through a kind of neo-McDowellian lens, we can open up a (...) conceptual space in which phenomenology and cognitive science may exert productive constraints on each other. Second, I describe some examples of phenomenological cognitive science that illustrate such constraints in action. Third, I use the mutually constraining relationship at work here as the platform from which to bring to light a domesticated version of the transcendental and a minimal form of naturalism that are compatible with each other. (shrink)

The frame problem is the difficulty of explaining how non-magical systems think and act in ways that are adaptively sensitive to context-dependent relevance. Influenced centrally by Heideggerian phenomenology, Hubert Dreyfus has argued that the frame problem is, in part, a consequence of the assumption (made by mainstream cognitive science and artificial intelligence) that intelligent behaviour is representation-guided behaviour. Dreyfus' Heideggerian analysis suggests that the frame problem dissolves if we reject representationalism about intelligence and recognize that human agents realize the property (...) of thrownness (the property of being always already embedded in a context). I argue that this positive proposal is incomplete until we understand exactly how the properties in question may be instantiated in machines like us. So, working within a broadly Heideggerian conceptual framework, I pursue the character of a representation-shunning thrown machine. As part of this analysis, I suggest that the frame problem is, in truth, a two-headed beast. The intra-context frame problem challenges us to say how a purely mechanistic system may achieve appropriate, flexible and fluid action within a context. The inter-context frame problem challenges us to say how a purely mechanistic system may achieve appropriate, flexible and fluid action in worlds in which adaptation to new contexts is open-ended and in which the number of potential contexts is indeterminate. Drawing on the field of situated robotics, I suggest that the intra-context frame problem may be neutralized by systems of special-purpose adaptive couplings, while the inter-context frame problem may be neutralized by systems that exhibit the phenomenon of continuous reciprocal causation. I also defend the view that while continuous reciprocal causation is in conflict with representational explanation, special-purpose adaptive coupling, as well as its associated agential phenomenology, may feature representations. My proposal has been criticized recently by Dreyfus, who accuses me of propagating a cognitivist misreading of Heidegger, one that, because it maintains a role for representation, leads me seriously astray in my handling of the frame problem. I close by responding to Dreyfus' concerns. (shrink)

This article examines how a class of emerging technologies—specifically, radical cognitive enhancements and artificial intelligence—has the potential to influence the future of philosophy. The article argues that progress in philosophy has been impeded, in part, by two specific constraints imposed on us by the natural architecture of our cognitive systems. Both of these constraints, though, could in principle be overcome by certain cognitive technologies currently being researched and/or developed. It surveys a number of these technologies, and then looks at a (...) particular metaphilosophical stance (called “inflationism”) that advocates amplifying the abilities of philosophers rather than reducing the ambitions of philosophy, given the apparent “teleological gap” between philosophy's ultimate goal (i.e., “the truth”) and the limited capacities of our evolved mental machinery. (shrink)

When the various disciplines participating in cognitive science are listed, philosophy almost always gets a guernsey. Yet, a couple of years ago at the conference of the Cognitive Science Society in Boulder (USA), there was no philosophy or philosopher with any prominence on the program. When queried on this point, the organizer (one of the "superstars" of the field) claimed it was partly an accident, but partly also due to an impression among members of the committee that philosophy is basically (...) a waste of time. Philosophy, they thought, is mostly obscure bullshit that does little to help, and much to hinder, real progress in cognitive science. (shrink)

Bennett and Hacker criticize a number of neuroscientists and philosophers for attributing capacities which belong to the human being as a whole, like perceiving or deciding, to a “part” of the human being, viz. the brain. They call this type of mistake the “mereological fallacy”. Interestingly, the authors say that these capacities cannot be ascribed to the mind either. They reject not only materialistic monism but also Cartesian dualism, arguing that many predicates describing human life do not refer to physical (...) or mental properties, nor to the sum of such properties. I agree with this important principle and with the critique of the mereological fallacy which it underpins, but I have two objections to the authors’ view. Firstly, I think that the brain is not literally a part of the human being, as suggested. Secondly, Bennett and Hacker do not offer an account of body and mind which explains in a systematic way how the domain of phenomena which transcends the mental and the physical relates to the mental and the physical. I first argue that Helmuth Plessner’s philosophical anthropology provides the kind of account we need. Then, drawing on Plessner, I present an alternative view of the mereological relationships between brain and human being. My criticism does not undercut Bennett and Hacker’s diagnosis of the mereological fallacy but rather gives it a more solid philosophical–anthropological foundation. (shrink)

According to the dominant computational approach in cognitive science, cognitive agents are digital computers; according to the alternative approach, they are dynamical systems. This target article attempts to articulate and support the dynamical hypothesis. The dynamical hypothesis has two major components: the nature hypothesis (cognitive agents are dynamical systems) and the knowledge hypothesis (cognitive agents can be understood dynamically). A wide range of objections to this hypothesis can be rebutted. The conclusion is that cognitive systems may well be dynamical systems, (...) and only sustained empirical research in cognitive science will determine the extent to which that is true. (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)

The nature of the dynamical hypothesis in cognitive science (the DH) is further clarified in responding to various criticisms and objections raised in commentaries. Major topics addressed include the definitions of “dynamical system” and “digital computer;” the DH as Law of Qualitative Structure; the DH as an ontological claim; the multiple-realizability of dynamical models; the level at which the DH is pitched; the nature of dynamics; the role of representations in dynamical cognitive science; the falsifiability of the DH; the extent (...) to which the DH is open; the role of temporal and implementation considerations; and the novelty or importance of the DH. The basic formulation and defense of the DH in the target article survives intact, though some refinements are recommended. (shrink)

If we are to preserve qualia, one possibility is to take the current academic, philosophical, and theoretical notion less seriously and current natural science and some pre-theoretical intuitions about qualia more seriously. Dennett (1997) is instrumental in showing how ideas of the intrinsicalness and privacy of qualia are misguided and those of ineffability and immediacy misinterpreted. However, by combining ideas of non-mechanicalness used in contemporary natural science with the pre-theoretical idea that qualia are special because they are unique, we get (...) a notion of qualia that is acceptable to naturalistic philosophy. The notion of unique qualia is not opposed to the idea that some of the characterizations of qualia have to be qualified. It is the folk-philosophical, academic, notions of theoreticity and conceptuality that have to be modified. (shrink)

The thinkers who have reflected on the problem of a coming superintelligence have generally seen the issue as a technological problem, a problem of how to control what the superintelligence will do. I argue that this approach is probably mistaken because it is based on questionable assumptions about the behavior of intelligent agents and, moreover, potentially counterproductive because it might, in the end, bring about the existential catastrophe that it is meant to prevent. I contend that the problem posed by (...) a future superintelligence will likely be a political problem, that is, one of establishing a peaceful form of coexistence with other intelligent agents in a situation of mutual vulnerability, and not a technological problem of control. (shrink)

We argue that existing learning algorithms are often poorly equipped to solve problems involving a certain type of important and widespread regularity that we call “type-2 regularity.” The solution in these cases is to trade achieved representation against computational search. We investigate several ways in which such a trade-off may be pursued including simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription.”.

Medicine involves specific practical expertise as well as more general context-independent medical knowledge. This raises the question, what is the nature of the expertise involved? Is there a model of clinical judgement or understanding that can accommodate both elements? This paper begins with a summary of a published account of the kinds of situation-specific skill found in anaesthesia. It authors claim that such skills are often neglected because of a prejudice in favour of the ‘technical rationality’ exemplified in evidence-based medicine (...) but they do not themselves offer a general account of the relation of practical expertise and general medical knowledge. The philosopher Hubert Dreyfus provides one model of the relation of general knowledge to situation-specific skilled coping. He claims that the former logically depends on the latter and provides two arguments, which I articulate in the second section, for this. But he mars those arguments by building in the further assumption that such situation-specific responses must be understood as concept-free and thus mindless. That assumption is held in place by three arguments all of which I criticize in the next section to give a unified account of clinical judgement as both practical and conceptually structured and thus justified in the face of a prejudice in favour of ‘technical rationality’. (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)

Experiences of art involve exercise of ordinary cognitive and perceptual capacities but in unique ways. These two features of experiences of art imply the mutual importance of aesthetics and cognitive science. Cognitive science provides empirical and theoretical analysis of the relevant cognitive capacities. Aesthetics thus does well to incorporate cognitive scientific research. Aesthetics also offers philosophical analysis of the uniqueness of the experience of art. Thus, cognitive science does well to incorporate the explanations of aesthetics. This paper explores this general (...) framework of expansionism : a research strategy that suggests that the explanatory goals and resources of both aesthetics and cognitive science should expand to include those of the other. Two relations are considered. First, what is the relation between aesthetics and more traditional cognitive science? Second, what is the relation between aesthetics and new developments in cognitive science that de-emphasize mental representation and emphasize body and action? (shrink)

Until relatively recently, it was often supposed that changes in the material record of hominin life indexed advances in hominin cognitive sophistication in a relatively direct way. In particular, the “Upper Paleolithic Transition”—an apparently abrupt increase in the complexity and disparity of our material culture—was thought to signal the arrival of the fully human mind. While the idea of a direct relationship between material complexity and cognitive sophistication still has some defenders, this view has largely been abandoned. It is now (...) widely appreciated that aspects of ancient hominins’ demographic and social organization have a powerful influence both on the material culture they need and the material culture they can sustain. But if this more nuanced view is right, what does the deep material record tell us about the evolution of hominin cognition? I explore that question in this article. (shrink)

Kripke (1982, Wittgenstein on rules and private language. Cambridge, MA: MIT Press) presents a rule-following paradox in terms of what we meant by our past use of “plus”, but the same paradox can be applied to any other term in natural language. Many responses to the paradox concentrate on fixing determinate meaning for “plus”, or for a small class of other natural language terms. This raises a problem: how can these particular responses be generalised to the whole of natural language? (...) In this paper, I propose a solution. I argue that if natural language is computable in a sense defined below, and the Church–Turing thesis is accepted, then this auxiliary problem can be solved. (shrink)

It is remarkable how much robotics research is promoted by appealing to the idea that the only way to deal with a looming demographic crisis is to develop robots to look after older persons. This paper surveys and assesses the claims made on behalf of robots in relation to their capacity to meet the needs of older persons. We consider each of the roles that has been suggested for robots in aged care and attempt to evaluate how successful robots might (...) be in these roles. We do so from the perspective of writers concerned primarily with the quality of aged care, paying particular attention to the social and ethical implications of the introduction of robots, rather than from the perspective of robotics, engineering, or computer science. We emphasis the importance of the social and emotional needs of older persons—which, we argue, robots are incapable of meeting—in almost any task involved in their care. Even if robots were to become capable of filling some service roles in the aged-care sector, economic pressures on the sector would most likely ensure that the result was a decrease in the amount of human contact experienced by older persons being cared for, which itself would be detrimental to their well-being. This means that the prospects for the ethical use of robots in the aged-care sector are far fewer than first appears. More controversially, we believe that it is not only misguided, but actually unethical, to attempt to substitute robot simulacra for genuine social interaction. A subsidiary goal of this paper is to draw attention to the discourse about aged care and robotics and locate it in the context of broader social attitudes towards older persons. We conclude by proposing a deliberative process involving older persons as a test for the ethics of the use of robots in aged care. (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)

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)

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)

Contemporary discussions of knowledge how typically focus on the question whether or not knowing how to do ϕ consists in propositional knowledge, and divide the field between intellectualists and anti-intellectualists. This way of framing the issue is said to derive from Gilbert Ryle. I argue that this is a misreading of Ryle, whose primary interest in discussing knowledge how was not epistemological but rather action-theoretical, whose argument against intellectualism has for this reason been misunderstood and underestimated, and whose positive view (...) aims to chart a middle course between intellectualism and anti-intellectualism. (shrink)