REMARKS ON EVOLUTION AND TIME-SCALES, Graham Cairns-Smith; HODGSON'S BLACK BOX, Thomas Clark; DO HODGSON'S PROPOSITIONS UNIQUELY CHARACTERIZE FREE WILL?, Ravi Gomatam; WHAT SHOULD WE RETAIN FROM A PLAIN PERSON'S CONCEPT OF FREE WILL?, Gilberto Gomes; ISOLATING DISPARATE CHALLENGES TO HODGSON'S ACCOUNT OF FREE WILL, Liberty Jaswal; FREE AGENCY AND LAWS OF NATURE, Robert Kane; SCIENCE VERSUS REALIZATION OF VALUE, NOT DETERMINISM VERSUS CHOICE, Nicholas Maxwell; COMMENTS ON HODGSON, J.J.C. Smart; THE VIEW FROM WITHIN, Sean Spence; COMMENTARY ON HODGSON, Henry (...) Stapp. (shrink)

I compare Margaret Archer's model of agency and the internal conversation with personal relations theory and some recent work by Marcia Cavell. In §1, I conclude that the forms of reflexivity and associated stances towards society that Archer defines can be seen as developments of the different forms of attachment, which personal relations theory can account for. This raises questions about the relationship between attachment-based notions of psychological health and reflexivity-based approaches to social transformation. I suggest a way in which (...) this might be investigated empirically. In §2, I note similarities and differences between Archer's work and personal relations theory. To illustrate the personal relations approach I describe a model first developed by Donald Davidson, and what Cavell calls ‘the dialectic of the first and third person views of the self’ to account for personal transformation between stances and the move towards mature dependency as described by Ronald Fairbairn. I suggest that Archer's and Fairbairn's models could be directly related if Archer's model is seen as equivalent to Fairbairn's notion of the central self under mature dependence. I argue that a critical realist account of both the psychological and social selves would require both models. (shrink)

Experiential evidence shows that pain is associated with common meanings. These include a meaning of threat or danger, which is experienced as immediately distressing or unpleasant; cognitive meanings, which are focused on the long-term consequences of having chronic pain; and existential meanings such as hopelessness, which are more about the person with chronic pain than the pain itself. This interdisciplinary book - the second in the three-volume Meanings of Pain series edited by Dr Simon van Rysewyk - aims to better (...) understand pain by describing experiences of pain and the meanings these experiences hold for the people living through them. The lived experiences of pain described here involve various types of chronic pain, including spinal pain, labour pain, rheumatic pain, diabetic peripheral neuropathic pain, fibromyalgia, complex regional pain syndrome, endometriosis-associated pain, and cancer-related pain. Two chapters provide narrative descriptions of pain, recounted and interpreted by people with pain. Language is important to understanding the meaning of pain since it is the primary tool human beings use to manipulate meaning. As discussed in the book, linguistic meaning may hold clues to understanding some pain-related experiences, including the stigmatisation of people with pain, the dynamics of patient-clinician communication, and other issues, such as relationships between pain, public policy and the law, and attempts to develop a taxonomy of pain that is meaningful for patients. Clinical implications are described in each chapter. This book is intended for people with pain, their family members or caregivers, clinicians, researchers, advocates, and policy makers. (shrink)

Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. Decision Making: J. Frank Yates (...) and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)

Kevin Harrelson's book commences with the following words: This book provides a philosophical analysis of the several debates concerning the "ontological argument" from the middle of the seventeenth to the beginning of the nineteenth century. My aim in writing it was twofold. First, I wished to provide a detailed and comprehensive account of the history of these debates, which I perceived to be lacking in the scholarly literature. Second, I wanted also to pursue a more philosophically interesting question concerning the (...) apparent unassailability of ontological arguments. In pursuit of this latter problem, the driving question that my account addresses is "why has this argument, or kind of argument, been such a constant in otherwise diverse philosophical contexts and periods?" I think that there is no doubt that Harrelson succeeds in the first of these aims. He has, indeed, produced a detailed scholarly account of the history of debates about ontological arguments from the middle of the seventeenth century to the beginning of the nineteenth. His history is engaging and interesting, covering a wide range of authors with diverse philosophical orientations: Descartes, Arnauld, Caterus, Gassendi, Hobbes, Mersenne, More, Geulincx, Cudworth, Locke, Clarke, Malebranche, Huet, Spinoza, Leibniz, Wolff, Baumgarten, Eberhard, Crusius, Kant, Mendelssohn, and Hegel, among others. It seems to me that anyone who works on the treatment of. (shrink)

This chapter is divided into three separate sections devoted in order to Europe, North America, and Australasia. In the first section, attention is given to the reception of Scottish philosophical writings principally in France and Germany, from the late decades of the eighteenth century to the mid-nineteenth century. The second section recounts the place and influence of Scottish philosophy in the liberal arts colleges of colonial America, and the great influence of key figure such as Francis Allison, John Witherspoon, and (...) Samuel Stanhope Smith in post-revolutionary politics and education. The story is traced into the early years of the twentieth century, with some reference to John Clark Murray and the place of Scottish philosophy in Canada also. The third section deals with the role of philosophy in the establishment of universities in Australia. It details the notable number of Scottish educated philosophers who contributed to the study of philosophy in Australia and ends with the best known of them—John Anderson. (shrink)

We humans tend to believe that things are only real in as much as we perceive them, an idea reinforced by modern philosophy, which privileges us as special, radically different in kind from all other objects. But as Graham Harman, one of the theory's leading exponents, shows, Object-Oriented Ontology (OOO) rejects the idea of human specialness: the world, he states, is clearly not the world as manifest to humans. "To think a reality beyond our thinking is not nonsense, but obligatory." (...) At OOO's heart is the idea that objects--whether real, fictional, natural, artificial, human, or non-human--are mutually autonomous. This core idea has significance for nearly every field of inquiry which is concerned in some way with the systematic interaction of objects, and the degree to which individual objects resist full participation in such systems. In this brilliant new introduction, Graham Harman lays out OOO's history, ideas, and impact, taking in art and literature, politics and natural science along the way. From Sherlock Holmes, unicorns, and videogames to Dadaism, Voltaire, and string theory, this book will change the way you understand everything. (shrink)

Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to (...) adaptive success. This target article critically examines this approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency. (shrink)

Mindware: An Introduction to the Philosophy of Cognitive Science invites readers to join in up-to-the-minute conceptual discussions of the fundamental issues, problems, and opportunities in cognitive science. Written by one of the most renowned scholars in the field, this vivid and engaging introductory text relates the story of the search for a cognitive scientific understanding of mind. This search is presented as a no-holds-barred journey from early work in artificial intelligence, through connectionist (artificial neural network) counter-visions, and on to neuroscience, (...) artificial life, dynamics, and robotics. The journey ends with some wide-ranging and provocative speculation about the complex coadaptive dance between mind, culture, and technology. Each chapter opens with a brief sketch of a major research tradition or perspective, followed by short yet substantial critical discussions dealing with key topics and problems. Ranging across both standard philosophical territory and the landscape of cutting-edge cognitive science, Clark highlights challenging issues in an effort to engage readers in active debate. Topics covered include mental causation; machine intelligence; the nature and status of folk psychology; the hardware/software distinction; emergence; relations between life and mind; the nature of perception, cognition, and action; and the continuity (or otherwise) of high-level human intelligence with other forms of adaptive response. Numerous illustrations, text boxes, and extensive suggestions for further reading enhance the text's utility. Helpful appendices provide background information on dualism, behaviorism, identity theory, consciousness, and more. An exceptional text for introductory and more advanced courses in cognitive science and the philosophy of mind, Mindware is also essential reading for anyone interested in these fascinating and ever-changing fields. (shrink)

Graham Priest presents a ground-breaking account of the semantics of intentional language--verbs such as "believes," "fears," "seeks," or "imagines." Towards Non-Being proceeds in terms of objects that may be either existent or non-existent, at worlds that may be either possible or impossible. The book will be of central interest to anyone who is concerned with intentionality in the philosophy of mind or philosophy of language, the metaphysics of existence and identity, the philosophy of fiction, the philosophy of mathematics, or cognitive (...) representation in AI. (shrink)

In "Mathematical Truth", Paul Benacerraf articulated an epistemological problem for mathematical realism. His formulation of the problem relied on a causal theory of knowledge which is now widely rejected. But it is generally agreed that Benacerraf was onto a genuine problem for mathematical realism nevertheless. Hartry Field describes it as the problem of explaining the reliability of our mathematical beliefs, realistically construed. In this paper, I argue that the Benacerraf Problem cannot be made out. There simply is no intelligible problem (...) that satisfies all of the constraints which have been placed on the Benacerraf Problem. The point generalizes to all arguments with the structure of the Benacerraf Problem aimed at realism about a domain meeting certain conditions. Such arguments include so-called "Evolutionary Debunking Arguments" aimed at moral realism. I conclude with some suggestions about the relationship between the Benacerraf Problem and the Gettier Problem. (shrink)

This chapter states the contrast between presumptivism about testimonial warrant (often called anti-reductionism) and strict reductionism (associated with Hume) about testimonial warrant. Presumptivism sees an analogy with modest foundationalism about perceptual warrant. Strict reductionism denies this analogy. Two theoretical frameworks for these positions are introduced to better formulate the most popular version of persumptivism, a competence reliabilist account. Seven arguments against presumptivism are then stated and critiqued: (1) The argument from reliability; (2) The argument from reasons; (3) the argument from (...) positive reasons; (4) the argument from negative reasons; (5) the argument from agency; (6) the argument from psychological force; and (7) the argument from gullibility. If presumptivm is false, it is not for any of these arguments. (shrink)

To what extent are the subjects of our thoughts and talk real? This is the question of realism. In this book, Justin Clarke-Doane explores arguments for and against moral realism and mathematical realism, how they interact, and what they can tell us about areas of philosophical interest more generally. He argues that, contrary to widespread belief, our mathematical beliefs have no better claim to being self-evident or provable than our moral beliefs. Nor do our mathematical beliefs have better claim to (...) being empirically justified than our moral beliefs. It is also incorrect that reflection on the "genealogy" of our moral beliefs establishes a lack of parity between the cases. In general, if one is a moral antirealist on the basis of epistemological considerations, then one ought to be a mathematical antirealist as well. And, yet, Clarke-Doane shows that moral realism and mathematical realism do not stand or fall together -- and for a surprising reason. Moral questions, insofar as they are practical, are objective in a sense that mathematical questions are not. Moreover, the sense in which they are objective can be explained only by assuming practical anti-realism. One upshot of the discussion is that the concepts of realism and objectivity, which are widely identified, are actually in tension. Another is that the objective questions in the neighborhood of questions of logic, modality, grounding, and nature are practical questions too. Practical philosophy should, therefore, take center stage. (shrink)

Ranging across both standard philosophical territory and the landscape of cutting-edge cognitive science, Mindware: An Introduction to the Philosophy of Cognitive Science, Second Edition, is a vivid and engaging introduction to key issues, research, and opportunities in the field.Starting with the vision of mindware as software and debates between realists, instrumentalists, and eliminativists, Andy Clark takes students on a no-holds-barred journey through connectionism, dynamical systems, and real-world robotics before moving on to the frontiers of cognitive technologies, enactivism, predictive coding, (...) and the extended mind. Throughout, he highlights challenging issues in an effort to engage students in active debate. Each chapter opens with a brief sketch of a major research tradition or perspective, followed by concise critical discussions dealing with key topics and problems. (shrink)

Epistemic defeat is standardly understood in either evidentialist or responsibilist terms. The seminal treatment of defeat is an evidentialist one, due to John Pollock, who famously distinguishes between undercutting and rebutting defeaters. More recently, an orthogonal distinction due to Jennifer Lackey has become widely endorsed, between so-called doxastic (or psychological) and normative defeaters. We think that neither doxastic nor normative defeaters, as Lackey understands them, exist. Both of Lackey’s categories of defeat derive from implausible assumptions about epistemic responsibility. Although Pollock’s (...) evidentialist view is superior, the evidentialism per se can be purged from it, leaving a general structure of defeat that can be incorporated in a reliabilist theory that is neither evidentialist nor responsibilist in any way. (shrink)

Galen Strawson has published several versions of an argument to the effect that moral responsibility is impossible, whether determinism is true or not. Few philosophers have been persuaded by the argument, which Strawson remarks is often dismissed “as wrong, or irrelevant, or fatuous, or too rapid, or an expression of metaphysical megalomania.” I offer here a two-part explanation of why Strawson’s argument has impressed so few. First, as he usually states it, the argument is lacking at least one key premise. (...) The premise in question concerns the very point on which Strawson and many of his contemporary opponents disagree. Strawson will persuade these opponents only when he convinces them of the truth of this crucial premise. Second, Strawson employs a striking conception of responsibility that has not generally been remarked upon. Many might accept that responsibility so conceived is impossible. But there is very different conception of responsibility that appears of great importance to us. To be thoroughly convincing, Strawson will have to show either that this second conception is inadequate or that his argument goes through even given this alternative conception. (shrink)

This book discusses the problem of mathematical knowledge, and its broader philosophical ramifications. It argues that the problem of explaining the (defeasible) justification of our mathematical beliefs (‘the justificatory challenge’), arises insofar as disagreement over axioms bottoms out in disagreement over intuitions. And it argues that the problem of explaining their reliability (‘the reliability challenge’), arises to the extent that we could have easily had different beliefs. The book shows that mathematical facts are not, in general, empirically accessible, contra Quine, (...) and that they cannot be dispensed with, contra Field. However, it argues that they might be so plentiful that our knowledge of them is intelligible. The book concludes with a complementary ‘pluralism’ about modality, logic and normative theory, highlighting its revisionary implications. Metaphysically, pluralism engenders a kind of perspectivalism and indeterminacy. Methodologically, it vindicates Carnap’s pragmatism, transposed to the key of realism. (shrink)