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  1. Reconstructing the Cognitive World.Michael Wheeler - 2007 - Philosophy 82 (319):190-195.
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  • How Brains Make Up Their Minds.Walter J. Freeman - 2000 - Columbia University Press.
    I think, therefore I am. The legendary pronouncement of philosopher René Descartes lingers as accepted wisdom in the Western world nearly four centuries after its author's death. But does thought really come first? Who actually runs the show: we, our thoughts, or the neurons firing within our brains? Walter J. Freeman explores how we control our behavior and make sense of the world around us. Avoiding determinism both in sociobiology, which proposes that persons' genes control their brains' functioning, and in (...)
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  • Principles of Biological Autonomy.Francisco J. Varela - 1979 - North-Holland.
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  • In defense of representation.Arthur B. Markman & Eric Dietrich - 2000 - Cognitive Psychology 40 (2):138--171.
    The computational paradigm, which has dominated psychology and artificial intelligence since the cognitive revolution, has been a source of intense debate. Recently, several cognitive scientists have argued against this paradigm, not by objecting to computation, but rather by objecting to the notion of representation. Our analysis of these objections reveals that it is not the notion of representation per se that is causing the problem, but rather specific properties of representations as they are used in various psychological theories. Our analysis (...)
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  • How brains make chaos in order to make sense of the world.Christine A. Skarda & Walter J. Freeman - 1987 - Behavioral and Brain Sciences 10 (2):161-173.
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  • What Might Cognition Be, If Not Computation?Tim Van Gelder - 1995 - Journal of Philosophy 92 (7):345 - 381.
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  • Beyond reduction: mechanisms, multifield integration and the unity of neuroscience.Carl F. Craver - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):373-395.
    Philosophers of neuroscience have traditionally described interfield integration using reduction models. Such models describe formal inferential relations between theories at different levels. I argue against reduction and for a mechanistic model of interfield integration. According to the mechanistic model, different fields integrate their research by adding constraints on a multilevel description of a mechanism. Mechanistic integration may occur at a given level or in the effort to build a theory that oscillates among several levels. I develop this alternative model using (...)
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  • The triple helix: gene, organism, and environment.Richard C. Lewontin - 2000 - Cambridge: Harvard University Press. Edited by Richard C. Lewontin.
    One of our most brilliant evolutionary biologists, Richard Lewontin has also been a leading critic of those--scientists and non-scientists alike--who would misuse the science to which he has contributed so much. In The Triple Helix, Lewontin the scientist and Lewontin the critic come together to provide a concise, accessible account of what his work has taught him about biology and about its relevance to human affairs. In the process, he exposes some of the common and troubling misconceptions that misdirect and (...)
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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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  • Embodied cognition: A field guide.Michael L. Anderson - 2003 - Artificial Intelligence 149 (1):91-130.
    The nature of cognition is being re-considered. Instead of emphasizing formal operations on abstract symbols, the new approach foregrounds the fact that cognition is, rather, a situated activity, and suggests that thinking beings ought therefore be considered first and foremost as acting beings. The essay reviews recent work in Embodied Cognition, provides a concise guide to its principles, attitudes and goals, and identifies the physical grounding project as its central research focus.
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  • Reducing psychology while maintaining its autonomy via mechanistic explanations.William Bechtel - 2007 - In Maurice Kenneth Davy Schouten & Huibert Looren de Jong (eds.), The matter of the mind: philosophical essays on psychology, neuroscience, and reduction. Malden, MA: Blackwell.
    Arguments for the autonomy of psychology or other higher-level sciences have often taken the form of denying the possibility of reduction. The form of reduction most proponents and critics of the autonomy of psychology have in mind is theory reduction. Mechanistic explanations provide a different perspective. Mechanistic explanations are reductionist insofar as they appeal to lower-level entities—the component parts of a mechanism and their operations— to explain a phenomenon. However, unlike theory reductions, mechanistic explanations also recognize the fundamental role of (...)
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  • Mind in Life: Biology, Phenomenology, and the Sciences of Mind.Evan Thompson - 2007 - Cambridge, Mass.: Harvard University Press.
    The question has long confounded philosophers and scientists, and it is this so-called explanatory gap between biological life and consciousness that Evan ...
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  • (1 other version)Neurodynamics of consciousness.Diego J. Cosmelli, Jean-Philippe Lachaux & Evan Thompson - 2007 - In Morris Moscovitch, Philip Zelazo & Evan Thompson (eds.), Cambridge Handbook of Consciousness. New York: Cambridge University Press. pp. 731--774.
    cal basis of consciousness. We continue by discussing the relation between spatiotem- One of the outstanding problems in the cog- poral patterns of brain activity and con- nitive sciences is to understand how ongo- sciousness, with particular attention to pro- ing conscious experience is related to the cesses in the gamma frequency band. We workings of the brain and nervous system. then adopt a critical perspective and high-.
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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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  • An embodied cognitive science?Andy Clark - 1999 - Trends in Cognitive Sciences 3 (9):345-351.
    The last ten years have seen an increasing interest, within cognitive science, in issues concerning the physical body, the local environment, and the complex interplay between neural systems and the wider world in which they function. --œPhysically embodied, environmentally embedded--� approaches thus loom large on the contemporary cognitive scientific scene. Yet many unanswered questions remain, and the shape of a genuinely embodied, embedded science of the mind is still unclear. I begin by sketching a few examples of the approach, and (...)
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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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  • How to situate cognition: Letting nature take its course.Robert A. Wilson & Andy Clark - 2008 - In Murat Aydede & P. Robbins (eds.), The Cambridge Handbook of Situated Cognition. Cambridge: Cambridge University Press. pp. 55--77.
    1. The Situation in Cognition 2. Situated Cognition: A Potted Recent History 3. Extensions in Biology, Computation, and Cognition 4. Articulating the Idea of Cognitive Extension 5. Are Some Resources Intrinsically Non-Cognitive? 6. Is Cognition Extended or Only Embedded? 7. Letting Nature Take Its Course.
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  • Artificial Intelligence: The Very Idea.John Haugeland - 1985 - Cambridge: MIT Press.
    The idea that human thinking and machine computing are "radically the same" provides the central theme for this marvelously lucid and witty book on...
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  • Anti-representationalism and the dynamical stance.Anthony Chemero - 2000 - Philosophy of Science 67 (4):625-647.
    Arguments in favor of anti-representationalism in cognitive science often suffer from a lack of attention to detail. The purpose of this paper is to fill in the gaps in these arguments, and in so doing show that at least one form of anti- representationalism is potentially viable. After giving a teleological definition of representation and applying it to a few models that have inspired anti- representationalist claims, I argue that anti-representationalism must be divided into two distinct theses, one ontological, one (...)
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  • Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
    Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity (...)
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  • Connectionism and cognitive architecture: A critical analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
    This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...)
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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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  • Downward causation in fluid convection.Robert C. Bishop - 2008 - Synthese 160 (2):229 - 248.
    Recent developments in nonlinear dynamics have found wide application in many areas of science from physics to neuroscience. Nonlinear phenomena such as feedback loops, inter-level relations, wholes constraining and modifying the behavior of their parts, and memory effects are interesting candidates for emergence and downward causation. Rayleigh–Bénard convection is an example of a nonlinear system that, I suggest, yields important insights for metaphysics and philosophy of science. In this paper I propose convection as a model for downward causation in classical (...)
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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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  • The architecture of representation.Rick Grush - 1997 - Philosophical Psychology 10 (1):5-23.
    b>: In this article I outline, apply, and defend a theory of natural representation. The main consequences of this theory are: i) representational status is a matter of how physical entities are used, and specifically is not a matter of causation, nomic relations with the intentional object, or information; ii) there are genuine (brain-)internal representations; iii) such representations are really representations, and not just farcical pseudo-representations, such as attractors, principal components, state-space partitions, or what-have-you;and iv) the theory allows us to (...)
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  • The emulation theory of representation: Motor control, imagery, and perception.Rick Grush - 2004 - Behavioral and Brain Sciences 27 (3):377-396.
    The emulation theory of representation is developed and explored as a framework that can revealingly synthesize a wide variety of representational functions of the brain. The framework is based on constructs from control theory (forward models) and signal processing (Kalman filters). The idea is that in addition to simply engaging with the body and environment, the brain constructs neural circuits that act as models of the body and environment. During overt sensorimotor engagement, these models are driven by efference copies in (...)
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  • On distinguishing epistemic from pragmatic action.David Kirsh & Paul Maglio - 1994 - Cognitive Science 18 (4):513-49.
    We present data and argument to show that in Tetris - a real-time interactive video game - certain cognitive and perceptual problems are more quickly, easily, and reliably solved by performing actions in the world rather than by performing computational actions in the head alone. We have found that some translations and rotations are best understood as using the world to improve cognition. These actions are not used to implement a plan, or to implement a reaction; they are used to (...)
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  • Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence.Andy Clark - 2003 - Oxford University Press. Edited by Alberto Peruzzi.
    In Natural-Born Cyborgs, Clark argues that what makes humans so different from other species is our capacity to fully incorporate tools and supporting cultural ...
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  • A Neurocomputational Perspective: The Nature of Mind and the Structure of Science.Paul M. Churchland - 1989 - MIT Press.
    A Neurocomputationial Perspective illustrates the fertility of the concepts and data drawn from the study of the brain and of artificial networks that model the...
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  • The Language of Thought.Jerry A. Fodor - 1975 - Harvard University Press.
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  • 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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  • The Language of Thought.J. A. Fodor - 1978 - Critica 10 (28):140-143.
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  • Boundaries of the Mind: The Individual in the Fragile Sciences - Cognition.Robert A. Wilson - 2004 - New York: Cambridge University Press.
    Where does the mind begin and end? Most philosophers and cognitive scientists take the view that the mind is bounded by the skull or skin of the individual. Robert Wilson, in this provocative and challenging 2004 book, provides the foundations for the view that the mind extends beyond the boundary of the individual. The approach adopted offers a unique blend of traditional philosophical analysis, cognitive science, and the history of psychology and the human sciences. The companion volume, Genes and the (...)
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  • Discovering Complexity: Decomposition and Localization as Strategies in Scientific Research.William Bechtel & Robert C. Richardson - 2010 - Princeton.
    An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent (...)
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  • Philosophy and Neuroscience: A Ruthlessly Reductive Account.J. Bickle - 2003 - Kluwer Academic Publishers.
    Philosophy and Neuroscience: A Ruthlessly Reductive Account is the first book-length treatment of philosophical issues and implications in current cellular and molecular neuroscience. John Bickle articulates a philosophical justification for investigating "lower level" neuroscientific research and describes a set of experimental details that have recently yielded the reduction of memory consolidation to the molecular mechanisms of long-term potentiation (LTP). These empirical details suggest answers to recent philosophical disputes over the nature and possibility of psycho-neural scientific reduction, including the multiple realization (...)
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  • A Dynamic Systems Approach to the Development of Cognition and Action.David Morris, E. Thelen & L. B. Smith - 1997 - International Studies in the Philosophy of Science 11 (2).
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  • The ways of paradox, and other essays.Willard Van Orman Quine (ed.) - 1976 - Cambridge: Harvard University Press.
    A respected Harvard logician and philosopher gathers together twenty-nine writings dealing with the foundations of mathematics, Rudolf Carnap, lin-guistics, ...
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  • Representations and cognitive explanations: Assessing the dynamicist challenge in cognitive science.William Bechtel - 1998 - Cognitive Science 22 (3):295-317.
    Advocates of dynamical systems theory (DST) sometimes employ revolutionary rhetoric. In an attempt to clarify how DST models differ from others in cognitive science, I focus on two issues raised by DST: the role for representations in mental models and the conception of explanation invoked. Two features of representations are their role in standing-in for features external to the system and their format. DST advocates sometimes claim to have repudiated the need for stand-ins in DST models, but I argue that (...)
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  • Cognition in the Wild.Edwin Hutchins - 1995 - MIT Press.
    Hutchins examines a set of phenomena that have fallen between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition.
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  • Action in Perception by Alva Noë. [REVIEW]Alva Noë - 2005 - Journal of Philosophy 102 (5):259-272.
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  • The Search for Ontological Emergence.Michael Silberstein & John McGeever - 1999 - Philosophical Quarterly 49 (195):201-214.
    We survey and clarify some recent appearances of the term ‘emergence’. We distinguish epistemological emergence, which is merely a limitation of descriptive apparatus, from ontological emergence, which should involve causal features of a whole system not reducible to the properties of its parts, thus implying the failure of part/whole reductionism and of mereological supervenience for that system. Are there actually any plausible cases of the latter among the numerous and various mentions of ‘emergence’ in the recent literature? Quantum mechanics seems (...)
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  • The Ecological Approach to Visual Perception.Marc H. Bornstein - 1980 - Journal of Aesthetics and Art Criticism 39 (2):203-206.
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  • (1 other version)Do Connectionist Representations Earn Their Explanatory Keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.
    In this paper I assess the explanatory role of internal representations in connectionist models of cognition. Focusing on both the internal‘hidden’units and the connection weights between units, I argue that the standard reasons for viewing these components as representations are inadequate to bestow an explanatorily useful notion of representation. Hence, nothing would be lost from connectionist accounts of cognitive processes if we were to stop viewing the weights and hidden units as internal representations.
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  • Time-scale dynamics and the development of an embodied cognition.Esther Thelen - 1995 - In Tim van Gelder & Robert Port (eds.), Mind As Motion: Explorations in the Dynamics of Cognition. MIT Press. pp. 69--100.
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  • Mind As Motion.T. van Gelder & Robert Port (eds.) - 1995 - MIT Press.
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  • Cognition in the Wild.Edwin Hutchins - 1998 - Mind 107 (426):486-492.
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  • Cognition in the Wild.Edward Hutchins - 1995 - Critica 27 (81):101-105.
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  • Representation and Behavior.M. J. Cain - 2004 - Mind 113 (451):555-559.
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  • Radical Embodied Cognitive Science.Anthony Chemero - 2009 - Bradford.
    While philosophers of mind have been arguing over the status of mental representations in cognitive science, cognitive scientists have been quietly engaged in studying perception, action, and cognition without explaining them in terms of mental representation. In this book, Anthony Chemero describes this nonrepresentational approach, puts it in historical and conceptual context, and applies it to traditional problems in the philosophy of mind. Radical embodied cognitive science is a direct descendant of the American naturalist psychology of William James and John (...)
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  • (1 other version)Do connectionist representations earn their explanatory keep?William Ramsey - 1997 - Mind and Language 12 (1):34-66.
    In this paper I assess the explanatory role of internal representations in connectionist models of cognition. Focusing on both the internal‘hidden’units and the connection weights between units, I argue that the standard reasons for viewing these components as representations are inadequate to bestow an explanatorily useful notion of representation. Hence, nothing would be lost from connectionist accounts of cognitive processes if we were to stop viewing the weights and hidden units as internal representations.
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