Those who are optimistic about the prospects of a science of consciousness, and those who believe that it lies beyond the reach of standard scientific methods, have something in common: both groups view consciousness as posing a special challenge for science. In this paper, we take a close look at the nature of this challenge. We show that popular conceptions of the problem of consciousness, epitomized by David Chalmers’ formulation of the ‘hard problem’, can be best explained as a cognitive (...) illusion, which arises as a by-product of our cognitive architecture. We present evidence from numerous sources to support our claim that we have a specialized system for thinking about phenomenal states, and that an inhibitory relationship exists between this system and the system we use to think about physical mechanisms. Even though the ‘hard problem’ is an illusion, unfortunately it appears that our cognitive architecture forces a closely related problem upon us. The ‘genuine problem’ of consciousness shares many features with the hard problem, and it also represents a special challenge for psychology. Nonetheless, researchers should be careful not to mistake the hard problem for the genuine problem, since the strategies appropriate for dealing with these problems differ in important respects. (shrink)

In the debates on phenomenal consciousness that occurred over the last 20 years, Sartre’s analysis of pre-reflective consciousness has often been quoted in defence of a distinction between first- and third-personal modes of givenness that naturalists reject. This distinction aims both at determining the specificity of the access one has to their own thoughts, beliefs, intentions, or desires, and at justifying the particular privilege that one enjoys while making epistemic claims about their own mental states. This chapter defends an interpretation (...) of Sartre’s theory of pre-reflective consciousness that does not put him completely at odds with the naturalist critique and stresses that one’s pre-reflective experience should not be understood in terms of first-/third-person differentiation. This pre-reflective dimension of experience nevertheless allows a peculiar access to oneself, which grants no infallible epistemic privilege to the first-person, but lays the ground for a transformative process that makes self-knowledge possible. (shrink)

Although their work in the philosophy of biology is not well known, Heidegger, Merleau-Ponty, and Ruyer all offer interesting and heterodox accounts of the life and environmental sciences and the organism in particular. In this chapter, we discuss their respective views, with a focus on their shared criticisms of Neo- Darwinism and the way this tradition grasped the structural coupling between organism and environment. We also outline some significant differences between each of them concerning how to conceive of that holistic (...) relation and the extent of “captivation” of the animal to its environment. Given that there are indications that the twenty-first century might be post-genomic/epigenetic, we argue that it is worth revisiting these neglected organicist trajectories that sought to navigate between mechanism and vitalism. (shrink)

Volume 2, Issue 2, June 2018, Page 119-124.

Despite its short historical moment in the sun, behaviorism has become something akin to a theoria non grata, a position that dare not be explicitly endorsed. The reasons for this are complex, of course, and they include sociological factors which we cannot consider here, but to put it briefly: many have doubted the ambition to establish law-like relationships between mental states and behavior that dispense with any sort of mentalistic or intentional idiom, judging that explanations of intelligent behavior require reference (...) to qualia and/or mental events. Today, when behaviorism is discussed at all, it is usually in a negative manner, either as an attempt to discredit an opponent’s view via a reductio, or by enabling a position to distinguish its identity and positive claims by reference to what it is (allegedly) not. In this paper, however, we argue that the ghost of behaviorism is present in influential, contemporary work in the field of embodied and enactive cognition, and even in aspects of the phenomenological tradition that these theorists draw on. Rather than take this to be a problem for these views as some have, we argue that once the behaviorist dimensions are clarified and distinguished from the straw-man version of the view, it is in fact an asset, one which will help with task of setting forth a scientifically reputable version of enactivism and/or philosophical behaviorism that is nonetheless not brain-centric but behavior-centric. While this is a bit like “the enemy of my enemy is my friend” strategy, as Shaun Gallagher notes (2019), with the shared enemy of behaviorism and enactivism being classical Cartesian views and/or orthodox cognitivism in its various guises, the task of this paper is to render this alliance philosophically plausible. Doi: 10.1007/s11229-019-02432-1. (shrink)

The modern era has witnessed an extraordinary and unprecedented growth in our empirical knowledge regarding the human body. This raises the question: what, if anything, can phenomenology teach us about the body that the empirical sciences cannot? Whereas common sense and empirical sciences begin from the body as straightforwardly and obviously given and go on from there to think about what this thing is, what it is made up of, and how it originated, phenomenology steps back from the straightforward fact (...) in order to ask: what is the structure of the body as an appearance? This chapter considers how some of the main figures in phenomenology have tried to answer this question. The body is not explicitly discussed in what might be thought of as the two foundational works of phenomenology: Husserl’s Logical Investigations and Heidegger’s Being and Time. Nevertheless, these works set the stage for the subsequent phenomenology of the body by describing the phenomena of multidimensionality and horizontality. Our first task will be to sketch out how these phenomena were described in the foundational works. This sets up our exposition of the body as a multidimensional phenomenon. We consider Husserl’s treatment of the body in Ideas II. We also examine how the Husserlian insights were taken up and developed by Jean-Paul Sartre and Maurice Merleau-Ponty. In conclusion we raise some critical questions regarding a phenomenological focus on the body and its multidimensionality. (shrink)

Mark Eli Kalderon's book boldly positions itself as a work in speculative metaphysics. Its point of departure is the familiar distinction between presentational and representational philosophies of perception. Kalderon notes that the latter has been more popular of late, as it is more amenable to "an account" explicating causal or counterfactual conditions on perception; but he wishes to rehabilitate the former, at least in part. One widely perceived disadvantage of presentationalism has been the way that understanding perception merely as registering (...) the presence of things might seem to leave us vulnerable to error about the nature of what is presented. Kalderon seeks to remedy this not by dealing at length with various disjunctivist positions concerning perception which may be friendly to his position, nor by spending much time criticising opposing views, but by explicating presentationalist perception through a series of tactile metaphors, thereby providing a radically new philosophical view. He claims that we do not just 'stand before' reality, we grasp it-the metaphor survives tellingly in ordinary language-and he thereby seeks to defend a form of realism which is robust, though he admits, "pre-modern". He draws on a remarkably rich variety of thinkers to defend this position, including pre-modern, modern, and various figures from both analytic and continental philosophy-however, although there is plenty of solid scholarship here, the book is aimed at metaphysics more than the history of ideas. (shrink)

Cognitive science is shamelessly materialistic. It maintains that human beings are nothing more than complex physical systems, ultimately and completely explicable in mechanistic terms. But this conception of humanity does not ?t well with common sense. To think of the creatures we spend much of our day loving, hating, admiring, resenting, comparing ourselves to, trying to understand, blaming, and thanking -- to think of them as mere mechanisms seems at best counterintuitive and unhelpful. More often it may strike us as (...) ludicrous, or even abhorrent. We are. (shrink)

In this article, we present evidence of a bidirectional coupling between moral concern and the attribution of properties and states that are associated with experience (e.g., conscious awareness, feelings). This coupling is also shown to be stronger with experience than for the attribution of properties and states more closely associated with agency (e.g., free will, thoughts). We report the results of four studies. In the first two studies, we vary the description of the mental capacities of a creature, and assess (...) the effects of these manipulations on moral concern. The third and fourth studies examine the effects of variations in moral concern on attributions of mindedness. Results from the first two studies indicate that moral concern depends primarily on the attribution of experience, rather than the attribution of agency. The results of the latter two studies demonstrate that moral concern increases attributions of mindedness, and that this effect is stronger for attributions of experience than for attributions of agency. (shrink)

Seminal work in moral neuroscience by Joshua Greene and colleagues employed variants of the well-known trolley problems to identify two brain networks which compete with each other to determine moral judgments. Greene interprets the tension between these brain networks using a dual process account which pits deliberative reason against automatic emotion-driven intuitions: reason versus passion. Recent neuroscientific evidence suggests, however, that the critical tension that Greene identifies as playing a role in moral judgment is not so much a tension between (...) reason and passion, but a tension between distinct forms of deliberative reasoning: analytic versus empathetic. In this paper we present results from several new studies supporting this alternative hypothesis. (shrink)

Wegner's thesis that the experience of will is an illusion is not just wrong, it is an impediment to progress in psychology. We discuss two readings of Wegner's thesis and find that neither can motivate his larger conclusion. Wegner thinks science requires us to dismiss our experiences. Its real promise is to help us to make better sense of them.

Bering contends that belief in the afterlife is explained by the simulation constraint hypothesis: the claim that we cannot imagine what it is like to be dead. This explanation suffers from some difficulties. First, it implies the existence of a corresponding belief in the “beforelife.” Second, a simpler explanation will suffice. Rather than appeal to constraints on our thoughts about death, we suggest that belief in the afterlife can be better explained by the lack of such constraints.

The fact that genes and environment contribute differentially to variation in human behaviors, traits and attitudes is central to the field of behavior genetics. Perceptions about these differential contributions may affect ideas about human agency. We surveyed two independent samples (N = 301 and N = 740) to assess beliefs about free will, determinism, political orientation, and the relative contribution of genes and environment to 21 human traits. We find that lay estimates of genetic influence on these traits cluster into (...) four distinct groups, which differentially predict beliefs about human agency, political orientation, and religiosity. Despite apparent ideological associations with these beliefs, the correspondence between mean lay estimates and published heritability estimates for the surveyed traits is large (r = .77). Belief in genetic determinism emerges as a modest predictor of accuracy in these lay estimates. Additionally, educated mothers with multiple children emerge as particularly accurate in their estimates of the genetic contribution to these traits. (shrink)

Multilevel research strategies characterize contemporary molecular inquiry into biological systems. We outline conceptual, methodological, and explanatory dimensions of these multilevel strategies in microbial ecology, systems biology, protein research, and developmental biology. This review of emerging lines of inquiry in these fields suggests that multilevel research in molecular life sciences has significant implications for philosophical understandings of explanation, modeling, and representation.

Advancements in novel neurotechnologies, such as brain computer interfaces and neuromodulatory devices such as deep brain stimulators, will have profound implications for society and human rights. While these technologies are improving the diagnosis and treatment of mental and neurological diseases, they can also alter individual agency and estrange those using neurotechnologies from their sense of self, challenging basic notions of what it means to be human. As an international coalition of interdisciplinary scholars and practitioners, we examine these challenges and make (...) recommendations to mitigate negative consequences that could arise from the unregulated development or application of novel neurotechnologies. We explore potential ethical challenges in four key areas: identity and agency, privacy, bias, and enhancement. To address them, we propose democratic and inclusive summits to establish globally-coordinated ethical and societal guidelines for neurotechnology development and application, new measures, including “Neurorights,” for data privacy, security, and consent to empower neurotechnology users’ control over their data, new methods of identifying and preventing bias, and the adoption of public guidelines for safe and equitable distribution of neurotechnological devices. (shrink)

We describe here an interdisciplinary lab science course for non-majors using the history of science as a curricular guide. Our experience with diverse instructors underscores the importance of the teachers and classroom dynamics, beyond the curriculum. Moreover, the institutional political context is central: are courses for non-majors valued and is support given to instructors to innovate? Two sample projects are profiled.

It is not widely realised that Turing was probably the first person to consider building computing machines out of simple, neuron-like elements connected together into networks in a largely random manner. Turing called his networks 'unorganised machines'. By the application of what he described as 'appropriate interference, mimicking education' an unorganised machine can be trained to perform any task that a Turing machine can carry out, provided the number of 'neurons' is sufficient. Turing proposed simulating both the behaviour of the (...) network and the training process by means of a computer program. We outline Turing's connectionist project of 1948. (shrink)

It is not widely realised that Turing was probably the first person to consider building computing machines out of simple, neuron-like elements connected together into networks in a largely random manner. Turing called his networks unorganised machines. By the application of what he described as appropriate interference, mimicking education an unorganised machine can be trained to perform any task that a Turing machine can carry out, provided the number of neurons is sufficient. Turing proposed simulating both the behaviour of the (...) network and the training process by means of a computer program. We outline Turing's connectionist project of 1948. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Natural Philosophy: On Retrieving a Lost Disciplinary Imaginary by Alister E. McGRATHJack ZupkoMcGRATH, Alister E. Natural Philosophy: On Retrieving a Lost Disciplinary Imaginary. Oxford: Oxford University Press, 2023. viii + 248 pp. Cloth, $39.95This book attempts to retrieve and reimagine the tradition of natural philosophy as an antidote for what the author sees as the fragmented, instrumentalized, and ethically disengaged understanding of the natural world most of us (...) have today. The idea is not to reinstate the older vision of Aristotle and Thomas Aquinas, with its final causes and animated spheres, or even the early modern culmination of natural philosophy in Newton’s universe of mathematically fixed natural laws; rather, the author hopes to engender a newer and deeper understanding of nature that is at once scientific, ethical, and poetic, which he explains in terms of the conceptual framework of Popper’s “Three Worlds”: objective, subjective, and theoretical. What is recovered thereby is said to be a “lost conceptual space” wherein human beings learn both about and from nature, modes of knowing rendered obsolete by disciplinary specialization in the sciences as well as our commitment to objective methods that leave no room for ethical or spiritual approaches to understanding the natural world and our place in it.The author covers quite a bit of ground on the historical side, from the ancient Greeks through the Middle Ages, moving on to the idea of natural philosophy as it was gradually transformed during the early modern period by Copernicus, Kepler, Galileo, Bacon, Boyle, and Newton—a picture finally eclipsed by the objective, empirical concept of natural science familiar to us today. Curiously, the book says very little about the Platonic tradition of natural philosophy that grew up around the Timaeus. Because it was available in Latin (or the first half of it, anyway, in a Latin translation by the Roman Neoplatonist Calcidius, who also wrote an influential commentary on the work), the Timaeus was, for almost a millennium, the authoritative text in natural philosophy in the West, at least until Aristotle’s nonlogical and scientific writings were recovered in the twelfth century. The Timaeus was the subject of many commentaries and philosophical discussions, from Calcidius in the fourth century to Bernardus Silvestris, William of Conches, and Alan of Lille in the twelfth. It fell out of favor among philosophers with the rise of Aristotle’s Physics and Aristotelian natural philosophy, though it continued to shape the popular imagination of nature in other genres, such as art and literature—recall, for example, the well-known image of “God the Geometer” (c. 1230), measuring the cosmos with a compass. If the author’s project is about “retrieving” natural philosophy “as a lost disciplinary imaginary” (the book’s subtitle), then surely the Platonic vision of the universe deserves equal billing with the Aristotelian. [End Page 158]That said, there is much to like in the project sketched here. The author’s diagnosis of the epistemic malaise of modern-day science sounds right to anyone familiar with the history of philosophy and natural science. So, even though we can now correctly describe the velocity constant of earth’s gravity as 9.8 m/s2, among other scientific achievements, we take ourselves to be wearing a different hat when we wax poetic at the beauty of the sky and the stars. Early-and pre-modern authors were more adept at bringing together science and poetry, but that might be because their epistemic position was radically different from our own. Calcidius, for example, finds it easy to draw moral and aesthetic conclusions from the motions of the cosmos because he really believed heavenly bodies are, like us, animated by souls. Even a materialist like Lucretius accepts that the gods exist; his (still) very radical thesis is that they don’t care about us. (And why should they? The Pythagorean theorem is much more beautiful and edifying to consider than the troubles of ignorant and weak-willed mortals.) Enlightened moderns that we are, we no longer believe the heavens are populated by super-intelligent beings; yet we continue to marvel at Van Gogh’s Starry Night and feel it is wrong to cause gratuitous... (shrink)

In the emerging discipline of consciousness studies, the bright-line distinction is between third-person methodologies -- honed to a fine edge by the physical sciences -- and first-person methodologies -- usually associated with such disciplines or approaches as phenomenology, introspection, and meditation. Proponents of each approach tend to marvel that their opponents can be so thick-headed, so downright perverse. Third-person methodologists maintain that since physical reality is all there is and causally closed, consciousness will yield its secrets to inquiry that follows (...) the scientific straight and narrow. There is simply no need to traipse off into the tangled thickets of subjectivity, where lurk the wily monsters of bias and self-deception. First-person methodologists respond that their opponents, blinded by loyalty to an inapposite research program, reject the subjective and experiential qualities that are the very essence of consciousness. (shrink)

Alan M. Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight. An (...) introduction by leading Turing expert Jack Copeland provides the background and guides the reader through the selection. About Alan Turing Alan Turing FRS OBE, (1912-1954) studied mathematics at King's College, Cambridge. He was elected a Fellow of King's in March 1935, at the age of only 22. In the same year he invented the abstract computing machines - now known simply as Turing machines - on which all subsequent stored-program digital computers are modelled. During 1936-1938 Turing continued his studies, now at Princeton University. He completed a PhD in mathematical logic, analysing the notion of 'intuition' in mathematics and introducing the idea of oracular computation, now fundamental in mathematical recursion theory. An 'oracle' is an abstract device able to solve mathematical problems too difficult for the universal Turing machine. In the summer of 1938 Turing returned to his Fellowship at King's. When WWII started in 1939 he joined the wartime headquarters of the Government Code and Cypher School (GC&CS) at Bletchley Park, Buckinghamshire. Building on earlier work by Polish cryptanalysts, Turing contributed crucially to the design of electro-mechanical machines ('bombes') used to decipher Enigma, the code by means of which the German armed forces sought to protect their radio communications. Turing's work on the version of Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as 'Fish'. Based on binary teleprinter code, Fish was used during the latter part of the war in preference to morse-based Enigma for the encryption of high-level signals, for example messages from Hitler and other members of the German High Command. It is estimated that the work of GC&CS shortened the war in Europe by at least two years. Turing received the Order of the British Empire for the part he played. In 1945, the war over, Turing was recruited to the National Physical Laboratory (NPL) in London, his brief to design and develop an electronic computer - a concrete form of the universal Turing machine. Turing's report setting out his design for the Automatic Computing Engine (ACE) was the first relatively complete specification of an electronic stored-program general-purpose digital computer. Delays beyond Turing's control resulted in NPL's losing the race to build the world's first working electronic stored-program digital computer - an honour that went to the Royal Society Computing Machine Laboratory at Manchester University, in June 1948. Discouraged by the delays at NPL, Turing took up the Deputy Directorship of the Royal Society Computing Machine Laboratory in that year. Turing was a founding father of modern cognitive science and a leading early exponent of the hypothesis that the human brain is in large part a digital computing machine, theorising that the cortex at birth is an 'unorganised machine' which through 'training' becomes organised 'into a universal machine or something like it'. He also pioneered Artificial Intelligence. Turing spent the rest of his short career at Manchester University, being appointed to a specially created Readership in the Theory of Computing in May 1953. He was elected a Fellow of the Royal Society of London in March 1951 (a high honour). (shrink)

On many issues Robbins and I are in agreement. Science and technology are legitimate, indeed crucial, subjects of public critique and democratic debate. The funding of scientific research by private corporations poses grave dangers to scientific objectivity. (But to make this argument, one must first believe in objectivity as a goal; postmodernists and relativists don't.) Finally, cultural questions are as important as economic ones -- sometimes more so.

The mathematical genius Alan Turing, well known for his crucial wartime role in breaking the ENIGMA code, was the first to conceive of the fundamental principle of the modern computer. This text contains first hand accounts by Turing and by the pioneers of computing who worked with him on his revolutionary design for an electronic computing machine - his Automatic Computing Engine.

This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point (...) of view. -/- Part II presents Turing’s universal machine (now known as a Turing machine), which provides a theoretical framework for reasoning about computation. His 1936 paper on this subject is widely seen as providing the starting point for the field of theoretical computer science. -/- Part III presents Turing’s working on codebreaking during World War II. While the War was a disastrous interlude for many, for Turing it provided a nationally important outlet for his creative genius. It is not an overstatement to say that without Turing, the War would probably have lasted longer, and may even have been lost by the Allies. The sensitive nature of Turning’s wartime work meant that much of this has been revealed only relatively recently. -/- Part IV presents Turing’s post-War work on computing, both at the National Physical Laboratory and at the University of Manchester. He made contributions to both hardware design, through the ACE computer at the NPL, and software, especially at Manchester. Part V covers Turing’s contribution to machine intelligence (now known as Artificial Intelligence or AI). Although Turing did not coin the term, he can be considered a founder of this field which is still active today, authoring a seminal paper in 1950. -/- Part VI covers morphogenesis, Turing’s last major scientific contribution, on the generation of seemingly random patterns in biology and on the mathematics behind such patterns. Interest in this area has increased rapidly in recent times in the field of bioinformatics, with Turing’s 1952 paper on this subject being frequently cited. -/- Part VII presents some of Turing’s mathematical influences and achievements. Turing was remarkably free of external influences, with few co-authors – Max Newman was an exception and acted as a mathematical mentor in both Cambridge and Manchester. -/- Part VIII considers Turing in a wider context, including his influence and legacy to science and in the public consciousness. -/- Reflecting Turing’s wide influence, the book includes contributions by authors from a wide variety of backgrounds. Contemporaries provide reminiscences, while there are perspectives by philosophers, mathematicians, computer scientists, historians of science, and museum curators. Some of the contributors gave presentations at Turing Centenary meetings in 2012 in Bletchley Park, King’s College Cambridge, and Oxford University, and several of the chapters in this volume are based on those presentations – some through transcription of the original talks, especially for Turing’s contemporaries, now aged in their 90s. Sadly, some contributors died before the publication of this book, hence its dedication to them. -/- For those interested in personal recollections, Chapters 2, 3, 11, 12, 16, 17, and 36 will be of interest. For philosophical aspects of Turing’s work, see Chapters 6, 7, 26–31, and 41. Mathematical perspectives can be found in Chapters 35 and 37–39. Historical perspectives can be found in Chapters 4, 8, 9, 10, 13–15, 18, 19, 21–25, 34, and 40. With respect to Turing’s body of work, the treatment in Parts II–VI is broadly chronological. We have attempted to be comprehensive with respect to all the important aspects of Turing’s achievements, and the book can be read cover to cover, or the chapters can be tackled individually if desired. There are cross-references between chapters where appropriate, and some chapters will inevitably overlap. -/- We hope that you enjoy this volume as part of your library and that you will dip into it whenever you wish to enter the multifaceted world of Alan Turing. (shrink)

Well known for this crucial wartime role in breaking the ENIGMA code, this book chronicles Turing's struggle to build the modern computer. Includes first hand accounts by Turing and the pioneers of computing who worked with him.

Alan Turing, pioneer of computing and WWII codebreaker, is one of the most important and influential thinkers of the twentieth century. In this volume for the first time his key writings are made available to a broad, non-specialist readership. They make fascinating reading both in their own right and for their historic significance: contemporary computational theory, cognitive science, artificial intelligence, and artificial life all spring from this ground-breaking work, which is also rich in philosophical and logical insight.

Bayesians have a seemingly attractive account of rational credal states in terms of coherence. An agent's set of credences are synchronically coherent just in case they conform to the probability calculus. Some Bayesians impose a further putative coherence constraint called regularity: roughly, if X is possible, then it is assigned positive probability. I look at two versions of regularity – logical and metaphysical – and I canvass various defences of it as a rationality norm. Combining regularity with synchronic coherence, we (...) have a set of constraints known as strict coherence.I argue that strict coherence is untenable. In particular, I attack regularity as a rationality norm. First, I rebut each of the various defences of regularity. Then I argue directly against regularity: it conflicts with the Bayesian decision‐theoretic treatment of rational action. Thus, seemingly plausible theoretical and pragmatic norms turn out to be inconsistent.[Barbossa is about to kill Will,but Jack Sparrow shows up:]Barbossa: It's not possible!Jack: Not probable.To be uncertain is to be uncomfortable,but to be certain is to be ridiculous. (shrink)