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  1. Explanation: a mechanist alternative.William Bechtel & Adele Abrahamsen - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):421-441.
    Explanations in the life sciences frequently involve presenting a model of the mechanism taken to be responsible for a given phenomenon. Such explanations depart in numerous ways from nomological explanations commonly presented in philosophy of science. This paper focuses on three sorts of differences. First, scientists who develop mechanistic explanations are not limited to linguistic representations and logical inference; they frequently employ diagrams to characterize mechanisms and simulations to reason about them. Thus, the epistemic resources for presenting mechanistic explanations are (...)
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  • (2 other versions)Action in Perception by Alva Noë. [REVIEW]Ned Block - 2005 - Journal of Philosophy 102 (5):259-272.
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  • Moving Beyond Metaphors.Chris Eliasmith - 2003 - Journal of Philosophy 100 (10):493-520.
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  • Discovering Complexity.William Bechtel, Robert C. Richardson & Scott A. Kleiner - 1996 - History and Philosophy of the Life Sciences 18 (3):363-382.
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  • Visual Search: The role of memory for rejected distractors.Todd S. Horowitz & J. M. Wolfe - 2005 - In Laurent Itti, Geraint Rees & John K. Tsotsos (eds.), Neurobiology of Attention. Academic Press. pp. 264.
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  • Intentional Models as Essential Scientific Tools.Eric Hochstein - 2013 - International Studies in the Philosophy of Science 27 (2):199-217.
    In this article, I argue that the use of scientific models that attribute intentional content to complex systems bears a striking similarity to the way in which statistical descriptions are used. To demonstrate this, I compare and contrast an intentional model with a statistical model, and argue that key similarities between the two give us compelling reasons to consider both as a type of phenomenological model. I then demonstrate how intentional descriptions play an important role in scientific methodology as a (...)
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  • (1 other version)Mathematical biology and the existence of biological laws.Mauro Dorato - 2012 - In D. Dieks, S. Hartmann, T. Uebel & M. Weber (eds.), Probabilities, Laws and Structure. Springer.
    An influential position in the philosophy of biology claims that there are no biological laws, since any apparently biological generalization is either too accidental, fact-like or contingent to be named a law, or is simply reducible to physical laws that regulate electrical and chemical interactions taking place between merely physical systems. In the following I will stress a neglected aspect of the debate that emerges directly from the growing importance of mathematical models of biological phenomena. My main aim is to (...)
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  • Discussion of J. Kevin O’Regan’s “Why Red Doesn’t Sound Like a Bell: Understanding the Feel of Consciousness”.J. Kevin O’Regan & Ned Block - 2012 - Review of Philosophy and Psychology 3 (1):89-108.
    Discussion of J. Kevin O’Regan’s “Why Red Doesn’t Sound Like a Bell: Understanding the Feel of Consciousness” Content Type Journal Article Pages 1-20 DOI 10.1007/s13164-012-0090-7 Authors J. Kevin O’Regan, Laboratoire Psychologie de la Perception, CNRS - Université Paris Descartes, Centre Biomédical des Saints Pères, 45 rue des Sts Pères, 75270 Paris cedex 06, France Ned Block, Departments of Philosophy, Psychology and Center for Neural Science, New York University, 5 Washington Place, New York, NY 10003, USA Journal Review of Philosophy and (...)
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  • The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective.David Michael Kaplan & Carl F. Craver - 2011 - Philosophy of Science 78 (4):601-627.
    We argue that dynamical and mathematical models in systems and cognitive neuro- science explain (rather than redescribe) a phenomenon only if there is a plausible mapping between elements in the model and elements in the mechanism for the phe- nomenon. We demonstrate how this model-to-mechanism-mapping constraint, when satisfied, endows a model with explanatory force with respect to the phenomenon to be explained. Several paradigmatic models including the Haken-Kelso-Bunz model of bimanual coordination and the difference-of-Gaussians model of visual receptive fields are (...)
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  • Dynamical Models: An Alternative or Complement to Mechanistic Explanations?David M. Kaplan & William Bechtel - 2011 - Topics in Cognitive Science 3 (2):438-444.
    Abstract While agreeing that dynamical models play a major role in cognitive science, we reject Stepp, Chemero, and Turvey's contention that they constitute an alternative to mechanistic explanations. We review several problems dynamical models face as putative explanations when they are not grounded in mechanisms. Further, we argue that the opposition of dynamical models and mechanisms is a false one and that those dynamical models that characterize the operations of mechanisms overcome these problems. By briefly considering examples involving the generation (...)
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  • Mechanisms, Laws, and Regularities.Holly K. Andersen - 2011 - Philosophy of Science 78 (2):325-331.
    Leuridan (2010) argued that mechanisms cannot provide a genuine alternative to laws of nature as a model of explanation in the sciences, and advocates Mitchell’s (1997) pragmatic account of laws. I first demonstrate that Leuridan gets the order of priority wrong between mechanisms, regularity, and laws, and then make some clarifying remarks about how laws and mechanisms relate to regularities. Mechanisms are not an explanatory alternative to regularities; they are an alternative to laws. The existence of stable regularities in nature (...)
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  • Experience of the world in time.Alva Noe - 2006 - Analysis 66 (1):26-32.
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  • (1 other version)Being There: Putting Brain, Body, and World Together Again.Andy Clark - 1981 - MIT Press.
    In Being There, Andy Clark weaves these several threads into a pleasing whole and goes on to address foundational questions concerning the new tools and..
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.
    Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.
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  • (1 other version)Is Perception a Propositional Attitude?Tim Crane - 2009 - Philosophical Quarterly 59 (236):452-469.
    It is widely agreed that perceptual experience is a form of intentionality, i.e., that it has representational content. Many philosophers take this to mean that like belief, experience has propositional content, that it can be true or false. I accept that perceptual experience has intentionality; but I dispute the claim that it has propositional content. This claim does not follow from the fact that experience is intentional, nor does it follow from the fact that experiences are accurate or inaccurate. I (...)
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  • The dynamics of embodiment: A field theory of infant perseverative reaching.Esther Thelen, Gregor Schöner, Christian Scheier & Linda B. Smith - 2001 - Behavioral and Brain Sciences 24 (1):1-34.
    The overall goal of this target article is to demonstrate a mechanism for an embodied cognition. The particular vehicle is a much-studied, but still widely debated phenomenon seen in 7–12 month-old-infants. In Piaget's classic “A-not-B error,” infants who have successfully uncovered a toy at location “A” continue to reach to that location even after they watch the toy hidden in a nearby location “B.” Here, we question the traditional explanations of the error as an indicator of infants' concepts of objects (...)
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  • Explanation in dynamical cognitive science.Joel Walmsley - 2008 - Minds and Machines 18 (3):331-348.
    In this paper, I outline two strands of evidence for the conclusion that the dynamical approach to cognitive science both seeks and provides covering law explanations. Two of the most successful dynamical models—Kelso’s model of rhythmic finger movement and Thelen et al.’s model of infant perseverative reaching—can be seen to provide explanations which conform to the famous explanatory scheme first put forward by Hempel and Oppenheim. In addition, many prominent advocates of the dynamical approach also express the provision of this (...)
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  • (1 other version)Models in Science (2nd edition).Roman Frigg & Stephan Hartmann - 2021 - The Stanford Encyclopedia of Philosophy.
    Models are of central importance in many scientific contexts. The centrality of models such as inflationary models in cosmology, general-circulation models of the global climate, the double-helix model of DNA, evolutionary models in biology, agent-based models in the social sciences, and general-equilibrium models of markets in their respective domains is a case in point (the Other Internet Resources section at the end of this entry contains links to online resources that discuss these models). Scientists spend significant amounts of time building, (...)
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  • Narrow mental content.Curtis Brown - 2008 - Stanford Encyclopedia of Philosophy.
    Narrow mental content is a kind of mental content that does not depend on an individual's environment. Narrow content contrasts with “broad” or “wide” content, which depends on features of the individual's environment as well as on features of the individual. It is controversial whether there is any such thing as narrow content. Assuming that there is, it is also controversial what sort of content it is, what its relation to ordinary or “broad” content is, and how it is determined (...)
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  • (1 other version)Reasoning in biological discoveries.Lindley Darden - manuscript
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  • Mechanisms and the nature of causation.Stuart S. Glennan - 1996 - Erkenntnis 44 (1):49--71.
    In this paper I offer an analysis of causation based upon a theory of mechanisms-complex systems whose internal parts interact to produce a system's external behavior. I argue that all but the fundamental laws of physics can be explained by reference to mechanisms. Mechanisms provide an epistemologically unproblematic way to explain the necessity which is often taken to distinguish laws from other generalizations. This account of necessity leads to a theory of causation according to which events are causally related when (...)
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  • (1 other version)Studies in the logic of explanation.Carl Gustav Hempel & Paul Oppenheim - 1948 - Philosophy of Science 15 (2):135-175.
    To explain the phenomena in the world of our experience, to answer the question “why?” rather than only the question “what?”, is one of the foremost objectives of all rational inquiry; and especially, scientific research in its various branches strives to go beyond a mere description of its subject matter by providing an explanation of the phenomena it investigates. While there is rather general agreement about this chief objective of science, there exists considerable difference of opinion as to the function (...)
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  • The critique of pure phenomenology.Alva Noë - 2007 - Phenomenology and the Cognitive Sciences 6 (1-2):231-245.
    The topic of this paper is phenomenology. How should we think of phenomenology – the discipline or activity of investigating experience itself – if phenomenology is to be a genuine source of knowledge? This is related to the question whether phenomenology can make a contribution to the empirical study of human or animal experience. My own view is that it can. But only if we make a fresh start in understanding what phenomenology is and can be.
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  • Consciousness, Accessibility, and the Mesh between Psychology and Neuroscience.Ned Block - 2007 - Behavioral and Brain Sciences 30 (5):481--548.
    How can we disentangle the neural basis of phenomenal consciousness from the neural machinery of the cognitive access that underlies reports of phenomenal consciousness? We can see the problem in stark form if we ask how we could tell whether representations inside a Fodorian module are phenomenally conscious. The methodology would seem straightforward: find the neural natural kinds that are the basis of phenomenal consciousness in clear cases when subjects are completely confident and we have no reason to doubt their (...)
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  • What is a neural correlate of consciousness?David J. Chalmers - 2000 - In Thomas Metzinger (ed.), Neural Correlates of Consciousness: Empirical and Conceptual Questions. MIT Press. pp. 17--39.
    The search for neural correlates of consciousness (or NCCs) is arguably the cornerstone in the recent resurgence of the science of consciousness. The search poses many difficult empirical problems, but it seems to be tractable in principle, and some ingenious studies in recent years have led to considerable progress. A number of proposals have been put forward concerning the nature and location of neural correlates of consciousness. A few of these include.
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  • After the Philosophy of Mind: Replacing Scholasticism with Science.Tony Chemero & Michael Silberstein - 2008 - Philosophy of Science 75 (1):1-27.
    We provide a taxonomy of the two most important debates in the philosophy of the cognitive and neural sciences. The first debate is over methodological individualism: is the object of the cognitive and neural sciences the brain, the whole animal, or the animal--environment system? The second is over explanatory style: should explanation in cognitive and neural science be reductionist-mechanistic, inter-level mechanistic, or dynamical? After setting out the debates, we discuss the ways in which they are interconnected. Finally, we make some (...)
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  • Mental mechanisms: Philosophical perspectives on the sciences of cognition and the brain.William P. Bechtel - manuscript
    1. The Naturalistic Turn in Philosophy of Science 2. The Framework of Mechanistic Explanation: Parts, Operations, and Organization 3. Representing and Reasoning About Mechanisms 4. Mental Mechanisms: Mechanisms that Process Information 5. Discovering Mental Mechanisms 6 . Summary.
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  • The Nature of Psychological Explanation.Robert Cummins - 1983 - MIT Press.
    In exploring the nature of psychological explanation, this book looks at how psychologists theorize about the human ability to calculate, to speak a language and the like. It shows how good theorizing explains or tries to explain such abilities as perception and cognition. It recasts the familiar explanations of "intelligence" and "cognitive capacity" as put forward by philosophers such as Fodor, Dennett, and others in terms of a theory of explanation that makes established doctrine more intelligible to professionals and their (...)
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  • When mechanistic models explain.Carl F. Craver - 2006 - Synthese 153 (3):355-376.
    Not all models are explanatory. Some models are data summaries. Some models sketch explanations but leave crucial details unspecified or hidden behind filler terms. Some models are used to conjecture a how-possibly explanation without regard to whether it is a how-actually explanation. I use the Hodgkin and Huxley model of the action potential to illustrate these ways that models can be useful without explaining. I then use the subsequent development of the explanation of the action potential to show what is (...)
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  • Thinking about mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
    The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.
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  • The Ecological Approach to Visual Perception: Classic Edition.James J. Gibson - 1979 - Houghton Mifflin.
    This is a book about how we see: the environment around us (its surfaces, their layout, and their colors and textures); where we are in the environment; whether or not we are moving and, if we are, where we are going; what things are good for; how to do things (to thread a needle or drive an automobile); or why things look as they do.The basic assumption is that vision depends on the eye which is connected to the brain. The (...)
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  • Animate vision.Dana H. Ballard - 1991 - Artificial Intelligence 48 (1):57-86.
    Animate vision systems have gaze control mechanisms that can actively position the camera coordinate system in response to physical stimuli. Compared to passive systems, animate systems show that visual computation can be vastly less expensive when considered in the larger context of behavior. The most important visual behavior is the ability to control the direction of gaze. This allows the use of very low resolution imaging that has a high virtual resolution. Using such a system in a controlled way provides (...)
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  • (1 other version)Being There: Putting Brain, Body, and World Together Again.Andy Clark - 1981 - MIT Press.
    In treating cognition as problem solving, Andy Clark suggests, we may often abstract too far from the very body and world in which our brains evolved to guide...
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  • Are there neural correlates of consciousness?Alva Noë & Evan Thompson - 2004 - Journal of Consciousness Studies 11 (1):3-28.
    In the past decade, the notion of a neural correlate of consciousness (or NCC) has become a focal point for scientific research on consciousness (Metzinger, 2000a). A growing number of investigators believe that the first step toward a science of consciousness is to discover the neural correlates of consciousness. Indeed, Francis Crick has gone so far as to proclaim that ‘we … need to discover the neural correlates of consciousness.… For this task the primate visual system seems especially attractive.… No (...)
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  • Computing mechanisms.Gualtiero Piccinini - 2007 - Philosophy of Science 74 (4):501-526.
    This paper offers an account of what it is for a physical system to be a computing mechanism—a system that performs computations. A computing mechanism is a mechanism whose function is to generate output strings from input strings and (possibly) internal states, in accordance with a general rule that applies to all relevant strings and depends on the input strings and (possibly) internal states for its application. This account is motivated by reasons endogenous to the philosophy of computing, namely, doing (...)
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  • Mind As Motion: Explorations in the Dynamics of Cognition.Tim van Gelder & Robert Port (eds.) - 1995 - MIT Press.
    The first comprehensive presentation of the dynamical approach to cognition. It contains a representative sampling of original, current research on topics such as perception, motor control, speech and language, decision making, and development.
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  • The dynamical hypothesis in cognitive science.Tim van Gelder - 1998 - Behavioral and Brain Sciences 21 (5):615-28.
    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, (...)
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  • On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  • The Embodied Mind: Cognitive Science and Human Experience.Francisco J. Varela, Evan Thompson & Eleanor Rosch - 1991 - MIT Press.
    The Embodied Mind provides a unique, sophisticated treatment of the spontaneous and reflective dimension of human experience.
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  • Philosophy meets the neurosciences.William Bechtel, Pete Mandik & Jennifer Mundale - 2001 - In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Malden, Mass.: Blackwell.
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  • (1 other version)Consciousness and Reference.John Campbell - 2007 - In Brian P. McLaughlin, Ansgar Beckermann & Sven Walter (eds.), The Oxford handbook of philosophy of mind. New York: Oxford University Press.
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  • A sensorimotor account of vision and visual consciousness.J. Kevin O’Regan & Alva Noë - 2001 - Behavioral and Brain Sciences 24 (5):883-917.
    Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of (...)
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  • What it is like to see: A sensorimotor theory of perceptual experience.J. Kevin O’Regan - 2001 - Synthese 129 (1):79-103.
    The paper proposes a way of bridging the gapbetween physical processes in the brain and the ''''felt''''aspect of sensory experience. The approach is based onthe idea that experience is not generated by brainprocesses themselves, but rather is constituted by theway these brain processes enable a particular form of''''give-and-take'''' between the perceiver and theenvironment. From this starting-point we are able tocharacterize the phenomenological differences betweenthe different sensory modalities in a more principledway than has been done in the past. We are also (...)
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  • Action in Perception.Alva Noë - 2004 - MIT Press.
    "Perception is not something that happens to us, or in us," writes Alva Noe. "It is something we do." In Action in Perception, Noe argues that perception and perceptual consciousness depend on capacities for action and thought — that ...
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  • (2 other versions)Review of Alva Noe, Action in Perception[REVIEW]Ned Block - 2005 - Journal of Philosophy 102 (5):259-272.
    This is a charming and engaging book that combines careful attention to the phenomenology of experience with an appreciation of the psychology and neuroscience of perception. In some of its aimsfor example, to show problems with a rigid version of a view of visual perception as an inverse optics process of constructing a static 3-D representation from static 2-D information on the retina--it succeeds admirably. As No points out, vision is a process that depends on interactions between the perceiver and (...)
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  • Vision as dance? Three challenges for sensorimotor contingency theory.Andy Clark - 2006 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 12.
    In _Action in Perception _Alva No develops and presents a sensorimotor account of vision and of visual consciousness. According to such an account seeing (and indeed perceiving more generally) is analysed as a kind of skilful bodily activity. Such a view is consistent with the emerging emphasis, in both philosophy and cognitive science, on the critical role of embodiment in the construction of intelligent agency. I shall argue, however, that the full sensorimotor model faces three important challenges. The first is (...)
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  • Knowing what? Radical versus conservative enactivism.Daniel D. Hutto - 2005 - Phenomenology and the Cognitive Sciences 4 (4):389-405.
    The binary divide between traditional cognitivist and enactivist paradigms is tied to their respective commitments to understanding cognition as based on knowing that as opposed to knowing how. Using O’Regan’s and No¨e’s landmark sensorimotor contingency theory of perceptual experience as a foil, I demonstrate how easy it is to fall into conservative thinking. Although their account is advertised as decidedly ‘skill-based’, on close inspection it shows itself to be riddled with suppositions threatening to reduce it to a rules-and-representations approach. To (...)
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  • (1 other version)Criteria, defeasibility, and knowledge.John McDowell - 1988 - In Jonathan Dancy (ed.), Perceptual knowledge. New York: Oxford University Press. pp. 455-79.
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  • Neural plasticity and consciousness.Susan Hurley & Alva Noë - 2003 - Biology and Philosophy 18 (1):131-168.
    and apply it to various examples of neural plasticity in which input is rerouted intermodally or intramodally to nonstandard cortical targets. In some cases but not others, cortical activity ‘defers’ to the nonstandard sources of input. We ask why, consider some possible explanations, and propose a dynamic sensorimotor hypothesis. We believe that this distinction is important and worthy of further study, both philosophical and empirical, whether or not our hypothesis turns out to be correct. In particular, the question of how (...)
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