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  1. Uriah Kriegel (2011). Cognitive Phenomenology as the Basis of Unconscious Content. In T. Bayne & M. Montague (eds.), Cognitive Phenomenology. Oxford University Press.score: 21.0
    Since the seventies, it has been customary to assume that intentionality is independent of consciousness. Recently, a number of philosophers have rejected this assumption, claiming intentionality is closely tied to consciousness, inasmuch as non- conscious intentionality in some sense depends upon conscious intentionality. Within this alternative framework, the question arises of how to account for unconscious intentionality, and different authors have offered different accounts. In this paper, I compare and contrast four possible accounts of unconscious intentionality, which I call potentialism, (...)
     
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  2. P. Sven Arvidson (2003). A Lexicon of Attention: From Cognitive Science to Phenomenology. Phenomenology and the Cognitive Sciences 2 (2):99-132.score: 21.0
    This article tries to create a bridge of understanding between cognitive scientists and phenomenologists who work on attention. In light of a phenomenology of attention and current psychological and neuropsychological literature on attention, I translate and interpret into phenomenological terms 20 key cognitive science concepts as examined in the laboratory and used in leading journals. As a preface to the lexicon, I outline a phenomenology of attention, especially as a dynamic three-part structure, which I have freely amended from (...)
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  3. Mog Stapleton (2013). Steps to a "Properly Embodied" Cognitive Science. Cognitive Systems Research 22 (June):1-11.score: 21.0
    Cognitive systems research has predominantly been guided by the historical distinction between emotion and cognition, and has focused its efforts on modelling the “cognitive” aspects of behaviour. While this initially meant modelling only the control system of cognitive creatures, with the advent of “embodied” cognitive science this expanded to also modelling the interactions between the control system and the external environment. What did not seem to change with this embodiment revolution, however, was the attitude towards affect (...)
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  4. Mark Collier (2005). Hume and Cognitive Science: The Current Status of the Controversy Over Abstract Ideas. Phenomenology and the Cognitive Sciences 4 (2):197-207.score: 21.0
    In Book I, Part I, Section VII of the Treatise, Hume sets out to settle, once and for all, the early modern controversy over abstract ideas. In order to do so, he tries to accomplish two tasks: (1) he attempts to defend an exemplar-based theory of general language and thought, and (2) he sets out to refute the rival abstraction-based account. This paper examines the successes and failures of these two projects. I argue that Hume manages to articulate a plausible (...)
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  5. Jonathan A. Waskan (2003). Intrinsic Cognitive Models. Cognitive Science 27 (2):259-283.score: 21.0
    Theories concerning the structure, or format, of mental representation should (1) be formulated in mechanistic, rather than metaphorical terms; (2) do justice to several philosophical intuitions about mental representation; and (3) explain the human capacity to predict the consequences of worldly alterations (i.e., to think before we act). The hypothesis that thinking involves the application of syntax-sensitive inference rules to syntactically structured mental representations has been said to satisfy all three conditions. An alternative hypothesis is that thinking requires the construction (...)
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  6. Stefan L. Frank (2013). Uncertainty Reduction as a Measure of Cognitive Load in Sentence Comprehension. Topics in Cognitive Science 5 (2).score: 21.0
    The entropy-reduction hypothesis claims that the cognitive processing difficulty on a word in sentence context is determined by the word's effect on the uncertainty about the sentence. Here, this hypothesis is tested more thoroughly than has been done before, using a recurrent neural network for estimating entropy and self-paced reading for obtaining measures of cognitive processing load. Results show a positive relation between reading time on a word and the reduction in entropy due to processing that word, supporting (...)
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  7. Korbinian Moeller, Elise Klein & Hans-Christoph Nuerk (2013). Influences of Cognitive Control on Numerical Cognition—Adaptation by Binding for Implicit Learning. Topics in Cognitive Science 5 (2):335-353.score: 21.0
    Recently, an associative learning account of cognitive control has been suggested (Verguts & Notebaert, 2009). In this so-called adaptation by binding theory, Hebbian learning of stimulus–stimulus and stimulus–response associations is assumed to drive the adaptation of human behavior. In this study, we evaluated the validity of the adaptation-by-binding account for the case of implicit learning of regularities within a stimulus set (i.e., the frequency of specific unit digit combinations in a two-digit number magnitude comparison task) and their association with (...)
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  8. Dario D. Salvucci (2013). Integration and Reuse in Cognitive Skill Acquisition. Cognitive Science 37 (4).score: 21.0
    Previous accounts of cognitive skill acquisition have demonstrated how procedural knowledge can be obtained and transformed over time into skilled task performance. This article focuses on a complementary aspect of skill acquisition, namely the integration and reuse of previously known component skills. The article posits that, in addition to mechanisms that proceduralize knowledge into more efficient forms, skill acquisition requires tight integration of newly acquired knowledge and previously learned knowledge. Skill acquisition also benefits from reuse of existing knowledge across (...)
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  9. Claudia Lorena García (2007). Cognitive Modularity, Biological Modularity and Evolvability. Biological Theory: Integrating Development, Evolution and Cognition (KLI) 2 (1):62-73.score: 19.0
    There is an argument that has recently been deployed in favor of thinking that the mind is mostly (or even exclusively) composed of cognitive modules; an argument that draws from some ideas and concepts of evolutionary and of developmental biology. In a nutshell, the argument concludes that a mind that is massively composed of cognitive mechanisms that are cognitively modular (henceforth, c-modular) is more evolvable than a mind that is not c-modular (or that is scarcely c-modular), since a (...)
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  10. Russell Epstein (2000). The Neural-Cognitive Basis of the Jamesian Stream of Thought. Consciousness and Cognition 9 (4):550-575.score: 19.0
    William James described the stream of thought as having two components: (1) a nucleus of highly conscious, often perceptual material; and (2) a fringe of dimly felt contextual information that controls the entry of information into the nucleus and guides the progression of internally directed thought. Here I examine the neural and cognitive correlates of this phenomenology. A survey of the cognitive neuroscience literature suggests that the nucleus corresponds to a dynamic global buffer formed by interactions between different (...)
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  11. Rainer Mausfeld (2012). On Some Unwarranted Tacit Assumptions in Cognitive Neuroscience. Frontiers in Cognition 3 (67):1-13.score: 19.0
    The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that (...)
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  12. J. Decety & T. Chaminade (2003). When the Self Represents the Other: A New Cognitive Neuroscience View on Psychological Identification. Consciousness and Cognition 12 (4):577-596.score: 19.0
    There is converging evidence from developmental and cognitive psychology, as well as from neuroscience, to suggest that the self is both special and social, and that self-other interaction is the driving force behind self-development. We review experimental findings which demonstrate that human infants are motivated for social interactions and suggest that the development of an awareness of other minds is rooted in the implicit notion that others are like the self. We then marshal evidence from functional neuroimaging explorations of (...)
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  13. María G. Navarro & Noemi de Haro García (2012). Cognitive Abduction in the Study of Visual Culture. Philosophy and Cognitive Science. Western and Eastern Studies 2:205-220.score: 19.0
    In this paper art history and visual studies, the disciplines that study visual culture, are presented as a field whose conjectural paradigm can be used to understand the epistemic problems associated with abduction. In order to do so, significant statements, concepts and arguments from the work of several specialists in this field have been highlighted. Their analysis shows the fruitfulness and potential for understanding the study of visual culture as a field that is interwoven with the assumptions of abductive cognition.
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  14. Jack Lyons (2011). Circularity, Reliability, and the Cognitive Penetrability of Perception. Philosophical Issues 21 (1):289-311.score: 18.0
    Is perception cognitively penetrable, and what are the epistemological consequences if it is? I address the latter of these two questions, partly by reference to recent work by Athanassios Raftopoulos and Susanna Seigel. Against the usual, circularity, readings of cognitive penetrability, I argue that cognitive penetration can be epistemically virtuous, when---and only when---it increases the reliability of perception.
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  15. William P. Bechtel (1994). Levels of Description and Explanation in Cognitive Science. Minds and Machines 4 (1):1-25.score: 18.0
    The notion of levels has been widely used in discussions of cognitive science, especially in discussions of the relation of connectionism to symbolic modeling of cognition. I argue that many of the notions of levels employed are problematic for this purpose, and develop an alternative notion grounded in the framework of mechanistic explanation. By considering the source of the analogies underlying both symbolic modeling and connectionist modeling, I argue that neither is likely to provide an adequate analysis of processes (...)
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  16. Sean Allen-Hermanson (2012). Superdupersizing the Mind: Extended Cognition and the Persistence of Cognitive Bloat. Philosophical Studies 158 (1): 1-16.score: 18.0
    Extended Cognition (EC) hypothesizes that there are parts of the world outside the head serving as cognitive vehicles. One criticism of this controversial view is the problem of “cognitive bloat” which says that EC is too permissive and fails to provide an adequate necessary criterion for cognition. It cannot, for instance, distinguish genuine cognitive vehicles from mere supports (e.g. the Yellow Pages). In response, Andy Clark and Mark Rowlands have independently suggested that genuine cognitive vehicles are (...)
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  17. Dustin Stokes (2012). Perceiving and Desiring: A New Look at the Cognitive Penetrability of Experience. Philosophical Studies 158 (3):479-92.score: 18.0
    This paper considers an orectic penetration hypothesis which says that desires and desire-like states may influence perceptual experience in a non-externally mediated way. This hypothesis is clarified with a definition, which serves further to distinguish the interesting target phenomenon from trivial and non-genuine instances of desire-influenced perception. Orectic penetration is an interesting possible case of the cognitive penetrability of perceptual experience. The orectic penetration hypothesis is thus incompatible with the more common thesis that perception is cognitively impenetrable. It is (...)
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  18. Richard Brown & Pete Mandik, On Whether the Higher-Order Thought Theory of Consciousness Entails Cognitive Phenomenology or What is It Like to Think That One Thinks That P?score: 18.0
    Among our conscious states are conscious thoughts. The question at the center of the recent growing literature on cognitive phenomenology is this: In consciously thinking P, is there thereby any phenomenology—is there something it’s like? One way of clarifying the question is to say that it concerns whether there is any proprietary phenomenology associated with conscious thought. Is there any phenomenology due to thinking, as opposed to phenomenology that is due to some co-occurring sensation or mental image? In this (...)
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  19. Howard Gardner (1987). The Mind's New Science: A History Of The Cognitive Revolution. Basic Books.score: 18.0
    The first full-scale history of cognitive science, this work addresses a central issue: What is the nature of knowledge?
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  20. Francisco Calvo Garzon & Angel Garcia Rodriguez (2009). Where is Cognitive Science Heading? Minds and Machines.score: 18.0
    According to Ramsey (Representation reconsidered, Cambridge University Press, New York, 2007), only classical cognitive science, with the related notions of input–output and structural representations, meets the job description challenge (the challenge to show that a certain structure or process serves a representational role at the subpersonal level). By contrast, connectionism and other nonclassical models, insofar as they exploit receptor and tacit notions of representation, are not genuinely representational. As a result, Ramsey submits, cognitive science is taking a U-turn (...)
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  21. Jerry A. Fodor (1998). Concepts: Where Cognitive Science Went Wrong. Oxford University Press.score: 18.0
    The renowned philosopher Jerry Fodor, a leading figure in the study of the mind for more than twenty years, presents a strikingly original theory on the basic constituents of thought. He suggests that the heart of cognitive science is its theory of concepts, and that cognitive scientists have gone badly wrong in many areas because their assumptions about concepts have been mistaken. Fodor argues compellingly for an atomistic theory of concepts, deals out witty and pugnacious demolitions of rival (...)
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  22. Johan De Smedt (2009). Cognitive Modularity in the Light of the Language Faculty. Logique et Analyse 208:373-387.score: 18.0
    Ever since Chomsky, language has become the paradigmatic example of an innate capacity. Infants of only a few months old are aware of the phonetic structure of their mother tongue, such as stress-patterns and phonemes. They can already discriminate words from non-words and acquire a feel for the grammatical structure months before they voice their first word. Language reliably develops not only in the face of poor linguistic input, but even without it. In recent years, several scholars have extended this (...)
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  23. Gabriel Vacariu (2012). Cognitive Neuroscience Versus Epistemologically Different Worlds. University of Bucharest Press.score: 18.0
    From the “epistemologically different worlds” perspective, I analyze the status of cognitive neuroscience today. I investigate the main actual topics in cognitive neuroscience: localization and the brain imaging, the binding problem (Treisman’s feature integration theory and synchronized oscillations approach), differentiation and integration, optimism versus skepticism approaches, perception and object recognition, space and the mind, crossmodal interactions, and the holistic view against localization. I want to show that these problems are pseudo-problems and this “science” has “No ontology landscape”.
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  24. Shaun Gallagher (1997). Mutual Enlightenment: Recent Phenomenology in Cognitive Science. Journal of Consciousness Studies 4 (3):195-214.score: 18.0
    The term phenomenology can be used in a generic sense to cover a variety of areas related to the problem of consciousness. In this sense it is a title that ranges over issues pertaining to first-person or subjective experience, qualia, and what has become known as "the hard problem" (Chalmers 1995). The term is sometimes used even more generally to signify a variety of approaches to studying such issues, including contemplative, meditative, and mystical studies, and transpersonal psychology.(1) Within the disciplines (...)
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  25. José Luis Bermúdez (2001). Nonconceptual Self-Consciousness and Cognitive Science. Synthese 129 (1):129 - 149.score: 18.0
    This paper explores some of the areas where neuroscientific and philosophical issues intersect in the study of self-consciousness. Taking as point of departure a paradox (the paradox of self-consciousness) that appears to block philosophical elucidation of self-consciousness, the paper illustrates how the highly conceptual forms of self-consciousness emerge from a rich foundation of nonconceptual forms of self-awareness. Attention is paid in particular to the primitive forms of nonconceptual self-consciousness manifested in visual perception, somatic proprioception, spatial reasoning and interpersonal psychological interactions. (...)
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  26. Achim Stephan (2006). The Dual Role of 'Emergence' in the Philosophy of Mind and in Cognitive Science. Synthese 151 (3):485-498.score: 18.0
    The concept of emergence is widely used in both the philosophy of mind and in cognitive science. In the philosophy of mind it serves to refer to seemingly irreducible phenomena, in cognitive science it is often used to refer to phenomena not explicitly programmed. There is no unique concept of emergence available that serves both purposes.
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  27. Anna Estany (2001). The Thesis of Theory-Laden Observation in the Light of Cognitive Psychology. Philosophy of Science 68 (2):203-217.score: 18.0
    The aim of this paper is to analyze a philosophical question (neutrality vs. theory-ladenness of observation) taking into consideration the empirical results of Cognitive Psychology (theories of perception). This is an important debate because the objectivity of science is at stake. In the Philosophy of Science there are two main positions with regard to observation, those of C. Hempel and N. R. Hanson. In the Philosophy of Mind there are also two important contrasting positions, those of J. Fodor and (...)
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  28. Jeffrey S. Poland & Barbara Von Eckardt (2004). Mechanism and Explanation in Cognitive Neuroscience. Philosophy of Science 71 (5):972-984.score: 18.0
    The aim of this paper is to examine the usefulness of the Machamer, Darden, and Craver (2000) mechanism approach to gaining an understanding of explanation in cognitive neuroscience. We argue that although the mechanism approach can capture many aspects of explanation in cognitive neuroscience, it cannot capture everything. In particular, it cannot completely capture all aspects of the content and significance of mental representations or the evaluative features constitutive of psychopathology.
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  29. J. Adam Carter, Benjamin Jarvis & Katherine Rubin (forthcoming). Knowledge and the Value of Cognitive Ability. Synthese.score: 18.0
    Abstract: We challenge a line of thinking at the fore of recent work on epistemic value: the line (suggested by Kvanvig [2003] and others) that if the value of knowledge is “swamped” by the value of mere true belief, then we have good reason to doubt its theoretical importance in epistemology. We offer a value-driven argument for the theoretical importance of knowledge—one that stands even if the value of knowledge is “swamped” by the value of true belief. Specifically, we contend (...)
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  30. William Bechtel & Mitchell Herschbach (2010). Philosophy of the Cognitive Sciences. In Fritz Allhoff (ed.), Philosophies of the Sciences. Wiley-Blackwell.score: 18.0
    Cognitive science is an interdisciplinary research endeavor focusing on human cognitive phenomena such as memory, language use, and reasoning. It emerged in the second half of the 20th century and is charting new directions at the beginning of the 21st century. This chapter begins by identifying the disciplines that contribute to cognitive science and reviewing the history of the interdisciplinary engagements that characterize it. The second section examines the role that mechanistic explanation plays in cognitive science, (...)
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  31. Jason L. Megill (2003). What Role Do the Emotions Play in Cognition? Towards a New Alternative to Cognitive Theories of Emotion. Consciousness and Emotion 4 (1):81-100.score: 18.0
    This paper has two aims: (1) to point the way towards a novel alternative to cognitive theories of emotion, and (2) to delineate a number of different functions that the emotions play in cognition, functions that become visible from outside the framework of cognitive theories. First, I hold that the Higher Order Representational (HOR) theories of consciousness ? as generally formulated ? are inadequate insofar as they fail to account for selective attention. After posing this dilemma, I resolve (...)
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  32. Richard Gray (2001). Cognitive Modules, Synaesthesia and the Constitution of Psychological Natural Kinds. Philosophical Psychology 14 (1):65-82.score: 18.0
    Fodor claims that cognitive modules can be thought of as constituting a psychological natural kind in virtue of their possession of most or all of nine specified properties. The challenge to this considered here comes from synaesthesia. Synaesthesia is a type of cross-modal association: input to one sensory modality reliably generates an additional sensory output that is usually generated by the input to a distinct sensory modality. The most common form of synaesthesia manifests Fodor's nine specified properties of modularity, (...)
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  33. Dustin Stokes, Cognitive Penetration and the Perception of Art.score: 18.0
    There are good, even if inconclusive reasons to think that cognitive penetration of perception occurs: that cognitive states like belief causally affect, in a relatively direct way, the contents of perceptual experience. The supposed importance—indeed some would argue, the essence—of this possible phenomenon is that it would result in important epistemic and scientific consequences. One interesting and intuitive consequence entirely unremarked in the extant literature concerns the perception of art. Intuition has it that knowledge about art changes how (...)
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  34. Gary Hatfield (2002). Psychology, Philosophy, and Cognitive Science: Reflections on the History and Philosophy of Experimental Psychology. Mind and Language 17 (3):207-232.score: 18.0
    This article critically examines the views that psychology ?rst came into existence as a discipline ca. 1879, that philosophy and psychology were estranged in the ensuing decades, that psychology ?nally became scienti?c through the in?uence of logical empiricism, and that it should now disappear in favor of cognitive science and neuroscience. It argues that psychology had a natural philosophical phase (from antiquity) that waxed in the seventeenth and eighteenth centuries, that this psychology transformed into experimental psychology ca. 1900, that (...)
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  35. Declan Smithies (forthcoming). The Significance of Cognitive Phenomenology. Philosophy Compass.score: 18.0
    This is the second in a series of two articles that serve as an introduction to recent debates about cognitive phenomenology. Cognitive phenomenology can be defined as the experience that is associated with cognitive activities, such as thinking, reasoning, and understanding. What is at issue in contemporary debates is not the existence of cognitive phenomenology, so defined, but rather its nature and theoretical role. The first article examines questions about the nature of cognitive phenomenology, while (...)
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  36. Declan Smithies (forthcoming). The Nature of Cognitive Phenomenology. Philosophy Compass.score: 18.0
    This is the first in a series of two articles that serve as an introduction to recent debates about cognitive phenomenology. Cognitive phenomenology can be defined as the experience that is associated with cognitive activities, such as thinking, reasoning, and understanding. What is at issue in contemporary debates is not the existence of cognitive phenomenology, so defined, but rather its nature and theoretical role. The first article examines questions about the nature of cognitive phenomenology, while (...)
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  37. Paul Thagard (ed.) (2007). Philosophy of Psychology and Cognitive Science. North-Holland.score: 18.0
    Psychology is the study of thinking, and cognitive science is the interdisciplinary investigation of mind and intelligence that also includes philosophy, artificial intelligence, neuroscience, linguistics, and anthropology. In these investigations, many philosophical issues arise concerning methods and central concepts. The Handbook of Philosophy of Psychology and Cognitive Science contains 16 essays by leading philosophers of science that illuminate the nature of the theories and explanations used in the investigation of minds. Topics discussed include representation, mechanisms, reduction, perception, consciousness, (...)
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  38. Andy Clark (1991). Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing. Cambridge: MIT Press.score: 18.0
  39. Graham A. Jamieson (ed.) (2007). Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford University Press.score: 18.0
    The phenomenon of hypnosis provides a rich paradigm for those seeking to understand the processes that underlie consciousness. Understanding hypnosis tells us about a basic human capacity for altered experiences that is often overlooked in contemporary western societies. Throughout the 200 year history of psychology, hypnosis has been a major topic of investigation by some of the leading experimenters and theorists of each generation. Today hypnosis is emerging again as a lively area of research within cognitive (systems level) neuroscience (...)
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  40. Raymond W. Gibbs (2006). Embodiment and Cognitive Science. New York ;Cambridge University Press.score: 18.0
    This book explores how people's subjective, felt experiences of their bodies in action provide part of the fundamental grounding for human cognition and language. Cognition is what occurs when the body engages the physical and cultural world and must be studied in terms of the dynamical interactions between people and the environment. Human language and thought emerge from recurring patterns of embodied activity that constrain ongoing intelligent behavior. We must not assume cognition to be purely internal, symbolic, computational, and disembodied, (...)
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  41. Robert J. Stainton (ed.) (2006). Contemporary Debates in Cognitive Science. Malden MA: Blackwell Publishing.score: 18.0
  42. Dustin Stokes (forthcoming). Cognitive Penetrability of Perception. Philosophy Compass.score: 18.0
    Perception is typically distinguished from cognition. For example, seeing is importantly different from believing. And while what one sees clearly influences what one thinks, it is debateable whether what one believes and otherwise thinks can influence, in some direct and non-trivial way, what one sees. The latter possible relation is the cognitive penetration of perception. Cognitive penetration, if it occurs, has implications for philosophy of science, epistemology, philosophy of mind, and cognitive science. This paper offers an analysis (...)
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  43. Robert C. Richardson (1999). Cognitive Science and Neuroscience: New Wave Reductionism. Philosopical Psychology 12 (3):297-307.score: 18.0
    John Bickle's Psychoneural reduction: the new wave (Cambridge, MA: MIT Press, 1998) aims to resurrect reductionism within philosophy of mind. He develops a new model of scientific reduction, geared to enhancing our understanding of how theories in neuroscience and cognitive science are interrelated. I put this discussion in context, and assess the prospects for new wave reductionism, both as a general model of scientific reduction and as an attempt to defend reductionism in the philosophy of mind.
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  44. Carrie Figdor (2013). What is the “Cognitive” in Cognitive Neuroscience? Neuroethics 6 (1):105-114.score: 18.0
    This paper argues that the cognitive neuroscientific use of ordinary mental terms to report research results and draw implications can contribute to public confusion and misunderstanding regarding neuroscience results. This concern is raised at a time when cognitive neuroscientists are increasingly required by funding agencies to link their research to specific results of public benefit, and when neuroethicists have called for greater attention to public communication of neuroscience. The paper identifies an ethical dimension to the problem and presses (...)
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  45. Carsten Held, Markus Knauff & Gottfried Vosgerau (eds.) (2006). Mental Models and the Mind: Current Developments in Cognitive Psychology, Neuroscience, and Philosophy of Mind. Elsevier.score: 18.0
    "Cognitive psychology," "cognitive neuroscience," and "philosophy of mind" are names for three very different scientific fields, but they label aspects of the same scientific goal: to understand the nature of mental phenomena. Today, the three disciplines strongly overlap under the roof of the cognitive sciences. The book's purpose is to present views from the different disciplines on one of the central theories in cognitive science: the theory of mental models. Cognitive psychologists report their research on (...)
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  46. William P. Bechtel (1988). Philosophy of Mind: An Overview for Cognitive Science. Lawrence Erlbaum.score: 18.0
    Specifically designed to make the philosophy of mind intelligible to those not trained in philosophy, this book provides a concise overview for students and researchers in the cognitive sciences. Emphasizing the relevance of philosophical work to investigations in other cognitive sciences, this unique text examines such issues as the meaning of language, the mind-body problem, the functionalist theories of cognition, and intentionality. As he explores the philosophical issues, Bechtel draws connections between philosophical views and theoretical and experimental work (...)
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  47. Frank C. Keil & Robert A. Wilson (2000). The Concept Concept: The Wayward Path of Cognitive Science. Mind and Language 15 (2-3):308-318.score: 18.0
    Critical discussion of Jerry Fodor's Concepts: Where Cognitive Science Went Wrong (1998).
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  48. Jacqueline Anne Sullivan (2010). A Role for Representation in Cognitive Neurobiology. Philosophy of Science (Supplement) 77 (5):875-887.score: 18.0
    What role does the concept of representation play in the contexts of experimentation and explanation in cognitive neurobiology? In this article, a distinction is drawn between minimal and substantive roles for representation. It is argued by appeal to a case study that representation currently plays a role in cognitive neurobiology somewhere in between minimal and substantive and that this is problematic given the ultimate explanatory goals of cognitive neurobiological research. It is suggested that what is needed is (...)
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  49. Mark Collier (2007). Why History Matters: Associations and Causal Judgment in Hume and Cognitive Science. Journal of Mind and Behavior 28:175-188.score: 18.0
    It is commonly thought that Hume endorses the claim that causal cognition can be fully explained in terms of nothing but custom and habit. Associative learning does, of course, play a major role in the cognitive psychology of the Treatise. But Hume recognizes that associations cannot provide a complete account of causal thought. If human beings lacked the capacity to reflect on rules for judging causes and effects, then we could not (as we do) distinguish between accidental and genuine (...)
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  50. Bert Baumgaertner (2012). Vagueness Intuitions and the Mobility of Cognitive Sortals. Minds and Machines 22 (3):213-234.score: 18.0
    One feature of vague predicates is that, as far as appearances go, they lack sharp application boundaries. I argue that we would not be able to locate boundaries even if vague predicates had sharp boundaries. I do so by developing an idealized cognitive model of a categorization faculty which has mobile and dynamic sortals (`classes', `concepts' or `categories') and formally prove that the degree of precision with which boundaries of such sortals can be located is inversely constrained by their (...)
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  51. Richard Samuels (2002). Nativism in Cognitive Science. Mind and Language 17 (3):233-65.score: 18.0
    Though nativist hypotheses have played a pivotal role in the development of cognitive science, it remains exceedingly obscure how they—and the debates in which they figure—ought to be understood. The central aim of this paper is to provide an account which addresses this concern and in so doing: a) makes sense of the roles that nativist theorizing plays in cognitive science and, moreover, b), explains why it really matters to the contemporary study of cognition. I conclude by outlining (...)
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  52. Tim van Gelder (1998). The Roles of Philosophy in Cognitive Science. Philosophical Psychology 11 (2):117-36.score: 18.0
    When the various disciplines participating in cognitive science are listed, philosophy almost always gets a guernsey. Yet, a couple of years ago at the conference of the Cognitive Science Society in Boulder (USA), there was no philosophy or philosopher with any prominence on the program. When queried on this point, the organizer (one of the "superstars" of the field) claimed it was partly an accident, but partly also due to an impression among members of the committee that philosophy (...)
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  53. Jay F. Rosenberg (1994). Comments on Bechtel, Levels of Description and Explanation in Cognitive Science. Minds and Machines 4 (1):27-37.score: 18.0
    I begin by tracing some of the confusions regarding levels and reduction to a failure to distinguish two different principles according to which theories can be viewed as hierarchically arranged — epistemic authority and ontological constitution. I then argue that the notion of levels relevant to the debate between symbolic and connectionist paradigms of mental activity answers to neither of these models, but is rather correlative to the hierarchy of functional decompositions of cognitive tasks characteristic of homuncular functionalism. Finally, (...)
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  54. Frances Egan (1995). Folk Psychology and Cognitive Architecture. Philosophy of Science 62 (2):179-96.score: 18.0
    It has recently been argued that the success of the connectionist program in cognitive science would threaten folk psychology. I articulate and defend a "minimalist" construal of folk psychology that comports well with empirical evidence on the folk understanding of belief and is compatible with even the most radical developments in cognitive science.
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  55. Vyvyan Evans (2009). How Words Mean: Lexical Concepts, Cognitive Models, and Meaning Construction. Oxford University Press.score: 18.0
    These are central to the accounts of lexical representation and meaning construction developed, giving rise to the Theory of Lexical Concepts and Cognitive ...
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  56. Ian Apperly (2010). Mindreaders: The Cognitive Basis of "Theory of Mind". Psychology Press.score: 18.0
    Introduction -- Evidence from children -- Evidence form infants and non-human animals -- Evidence from neuroimaging and neuropsychology -- Evidence from adults -- The cognitive basis of mindreading -- Elaborating and applying the theory.
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  57. Seth Miller (2011). A Review of “Supersizing the Mind: Embodiment, Action, and Cognitive Extension”. [REVIEW] World Futures 66 (7):525-529.score: 18.0
    This essay critically reviews Andy Clark’s new book Supersizing the Mind: Embodiment, Action, and Cognitive Extension, in which he argues that there are circumstances in which the mind, properly considered, is found to supervene on not only the brain, but the body and the external environment as well. This review summarizes Clark’s major contributions to this viewpoint for the general reader, then raises a few critical points that help to contextualize Clark’s claims, aims, and methods, while highlighting the book’s (...)
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  58. Richard Menary (2007). Cognitive Integration: Mind and Cognition Unbounded. Palgrave Macmillan.score: 18.0
    In Cognitive Integration: Attacking The Bounds of Cognition Richard Menary argues that the real pay-off from extended-mind-style arguments is not a new form of externalism in the philosophy of mind, but a view in which the 'internal' and 'external' aspects of cognition are integrated into a whole. Menary argues that the manipulation of external vehicles constitutes cognitive processes and that cognition is hybrid: internal and external processes and vehicles complement one another in the completion of cognitive tasks. (...)
     
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  59. Orlin Vakarelov (2010). Pre-Cognitive Semantic Information. Knowledge, Technology & Policy 23 (2):193-226.score: 18.0
    This paper addresses one of the fundamental problems of the philosophy of information: How does semantic information emerge within the underlying dynamics of the world?—the dynamical semantic information problem. It suggests that the canonical approach to semantic information that defines data before meaning and meaning before use is inadequate for pre-cognitive information media. Instead, we should follow a pragmatic approach to information where one defines the notion of information system as a special kind of purposeful system emerging within the (...)
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  60. Shaun Nichols (2001). Mindreading and the Cognitive Architecture Underlying Altruistic Motivation. Mind and Language 16 (4):425-455.score: 18.0
    In recent attempts to characterize the cognitive mechanisms underlying altruistic motivation, one central question is the extent to which the capacity for altruism depends on the capacity for understanding other minds, or ‘mindreading’. Some theorists maintain that the capacity for altruism is independent of any capacity for mindreading; others maintain that the capacity for altruism depends on fairly sophisticated mindreading skills. I argue that none of the prevailing accounts is adequate. Rather, I argue that altruistic motivation depends on a (...)
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  61. Martin J. Pickering & Nick Chater (1995). Why Cognitive Science is Not Formalized Folk Psychology. Minds and Machines 5 (3):309-337.score: 18.0
    It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also (...)
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  62. Kevin Connolly, John Donaldson, David M. Gray, Emily McWilliams, Sofia Ortiz-Hinojosa & David Suarez, Cognitive Penetration? (Network for Sensory Research Toronto Workshop on Perceptual Learning: Question Four).score: 18.0
    This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: What counts as cognitive penetration?
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  63. Paul E. Griffiths (1989). The Degeneration of the Cognitive Theory of Emotions. Philosophical Psychology 2 (3):297-313.score: 18.0
    The type of cognitive theory of emotion traditionally espoused by philosophers of mind makes two central claims. First, that the occurrence of propositional attitudes is essential to the occurrence of emotions. Second, that the identity of a particular emotional state depends upon the propositional attitudes that it involves. In this paper I try to show that there is little hope of developing a theory of emotion which makes these claims true. I examine the underlying defects of the programme, and (...)
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  64. Richard Montgomery (1998). Grades of Explanation in Cognitive Science. Synthese 114 (3):463-495.score: 18.0
    I sketch an explanatory framework that fits a variety of contemporary research programs in cognitive science. I then investigate the scope and the implications of this framework. The framework emphasizes (a) the explanatory role played by the semantic content of cognitive representations, and (b) the important mechanistic, non-intentional dimension of cognitive explanations. I show how both of these features are present simultaneously in certain varieties of cognitive explanation. I also consider the explanatory role played by grounded (...)
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  65. Muhammad Ali Khalidi (2005). Against Functional Reductionism in Cognitive Science. International Studies in the Philosophy of Science 19 (3):319 – 333.score: 18.0
    Functional reductionism concerning mental properties has recently been advocated by Jaegwon Kim in order to solve the problem of the 'causal exclusion' of the mental. Adopting a reductionist strategy first proposed by David Lewis, he regards psychological properties as being 'higher-order' properties functionally defined over 'lower-order' properties, which are causally efficacious. Though functional reductionism is compatible with the multiple realizability of psychological properties, it is blocked if psychological properties are subdivided or crosscut by neurophysiological properties. I argue that there is (...)
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  66. João Branquinho (ed.) (2001). The Foundations of Cognitive Science. Oxford: Clarendon Press.score: 18.0
    Given the controversial nature of most issues in the foundations of cognitive science, it could hardly be expected from a description of the territory that ...
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  67. Terence E. Horgan & John L. Tienson (1994). A Nonclassical Framework for Cognitive Science. Synthese 101 (3):305-45.score: 18.0
    David Marr provided a useful framework for theorizing about cognition within classical, AI-style cognitive science, in terms of three levels of description: the levels of (i) cognitive function, (ii) algorithm and (iii) physical implementation. We generalize this framework: (i) cognitive state transitions, (ii) mathematical/functional design and (iii) physical implementation or realization. Specifying the middle, design level to be the theory of dynamical systems yields a nonclassical, alternative framework that suits (but is not committed to) connectionism. We consider (...)
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  68. Jordi Fernández (2003). Explanation by Computer Simulation in Cognitive Science. Minds And Machines 13 (2):269-284.score: 18.0
    My purpose in this essay is to clarify the notion of explanation by computer simulation in artificial intelligence and cognitive science. My contention is that computer simulation may be understood as providing two different kinds of explanation, which makes the notion of explanation by computer simulation ambiguous. In order to show this, I shall draw a distinction between two possible ways of understanding the notion of simulation, depending on how one views the relation in which a computing system that (...)
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  69. Lawrence A. Shapiro & William M. Epstein (1998). Evolutionary Theory Meets Cognitive Psychology: A More Selective Perspective. Mind and Language 13 (2):171-94.score: 18.0
    Quite unexpectedly, cognitive psychologists find their field intimately connected to a whole new intellectual landscape that had previously seemed remote, unfamiliar, and all but irrelevant. Yet the proliferating connections tying together the cognitive and evolutionary communities promise to transform both fields, with each supplying necessary principles, methods, and a species of rigor that the other lacks. (Cosmides and Tooby, 1994, p. 85).
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  70. William P. Bechtel (2002). Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important? Philosophy of Science 69 (S3):S48-S58.score: 18.0
    The need to align multiple experimental procedures and produce converging results so as to demonstrate that the phenomenon under investigation is real and not an artifact is a commonplace both in scientific practice and discussions of scientific methodology (Campbell and Stanley 1963; Wimsatt 1981). Although sometimes this is the purpose of aligning techniques, often there is a different purpose—multiple techniques are sought to supply different perspectives on the phenomena under investigation that need to be integrated to answer the questions scientists (...)
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  71. Kent Johnson (2004). Gold's Theorem and Cognitive Science. Philosophy of Science 70 (4):571-592.score: 18.0
    A variety of inaccurate claims about Gold's Theorem have appeared in the cognitive science literature. I begin by characterizing the logic of this theorem and its proof. I then examine several claims about Gold's Theorem, and I show why they are false. Finally, I assess the significance of Gold's Theorem for cognitive science.
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  72. Edward Stein (1996). Without Good Reason: The Rationality Debate in Philosophy and Cognitive Science. Oxford University Press.score: 18.0
    In this book, Edward Stein offers a clear critical account of the debate about rationality in philosophy and cognitive science. He discusses concepts of rationality--the pictures of rationality on which the debate centers--and assesses the empirical evidence used to argue that humans are irrational. He concludes that the question of human rationality must be answered not conceptually but empirically, using the full resources of an advanced cognitive science. Furthermore, he extends this conclusion to argue that empirical considerations are (...)
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  73. Matthias Unterhuber & Gerhard Schurz (2013). The New Tweety Puzzle: Arguments Against Monistic Bayesian Approaches in Epistemology and Cognitive Science. Synthese 190 (8):1407-1435.score: 18.0
    In this paper we discuss the new Tweety puzzle. The original Tweety puzzle was addressed by approaches in non-monotonic logic, which aim to adequately represent the Tweety case, namely that Tweety is a penguin and, thus, an exceptional bird, which cannot fly, although in general birds can fly. The new Tweety puzzle is intended as a challenge for probabilistic theories of epistemic states. In the first part of the paper we argue against monistic Bayesians, who assume that epistemic states can (...)
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  74. Alvin Goldman (1993). Readings in Philosophy and Cognitive Science. Cambridge: MIT Press.score: 18.0
    This collection of readings shows how cognitive science can influence most of the primary branches of philosophy, as well as how philosophy critically examines...
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  75. Mark Reybrouck (2005). A Biosemiotic and Ecological Approach to Music Cognition: Event Perception Between Auditory Listening and Cognitive Economy. Axiomathes 15 (2).score: 18.0
    This paper addresses the question whether we can conceive of music cognition in ecosemiotic terms. It claims that music knowledge must be generated as a tool for adaptation to the sonic world and calls forth a shift from a structural description of music as an artifact to a process-like approach to dealing with music. As listeners, we are observers who construct and organize our knowledge and bring with us our observational tools. What matters is not merely the sonic world in (...)
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  76. Evan Thompson (1995). Colour Vision: A Study in Cognitive Science and the Philosophy of Perception. New York: Routledge.score: 18.0
    This book is a major contribution to the interdisciplinary project of investigating the true nature of color vision. In recent times, research into color vision has been one of the main success stories of cognitive science. Each discipline in the field--neuroscience, psychology, linguistics, computer science and philosophy--has contributed significantly to our understanding of color. Evan Thompson provides an accessible review of current scientific and philosophical discussions of color vision. He steers a course between the subjective and objective positions on (...)
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  77. Jonathan Knowles (2001). Does Intentional Psychology Need Vindicating by Cognitive Science? Minds and Machines 11 (3):347-377.score: 18.0
    I argue that intentional psychology does not stand in need of vindication by a lower-level implementation theory from cognitive science, in particular the representational theory of mind (RTM), as most famously Jerry Fodor has argued. The stance of the paper is novel in that I claim this holds even if one, in line with Fodor, views intentional psychology as an empirical theory, and its theoretical posits as as real as those of other sciences. I consider four metaphysical arguments for (...)
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  78. Richard Montgomery (1995). Explanation and Evaluation in Cognitive Science. Philosophy of Science 62 (2):261-82.score: 18.0
    With some regularity, cognitive scientists seem to introduce cognitive values into their explanations. After identifying examples of this practice, I sketch an account of psychological explanation that, under certain conditions, legitimizes value-laden cognitive explanations in which evaluative claims appear in the explanandum. I then present and discuss two applications of the proposed account in order to show its viability and explore its consequences.
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  79. Gerard O'Brien & Jonathan Opie (1997). Cognitive Science and Phenomenal Consciousness: A Dilemma, and How to Avoid It. Philosophical Psychology 10 (3):269-86.score: 18.0
    When it comes to applying computational theory to the problem of phenomenal consciousness, cognitive scientists appear to face a dilemma. The only strategy that seems to be available is one that explains consciousness in terms of special kinds of computational processes. But such theories, while they dominate the field, have counter-intuitive consequences; in particular, they force one to accept that phenomenal experience is composed of information processing effects. For cognitive scientists, therefore, it seems to come down to a (...)
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  80. Antti Revonsuo (1993). Is There a Ghost in the Cognitive Machinery? Philosophical Psychology 6 (4):387-405.score: 18.0
    The cognitive mind-brain is haunted by the ghost of consciousness. Cognitive science must face this ghost, since consciousness is perhaps the most important mental phenomenon: it forms a seemingly united, multimodal phenomenological world around the subject who experiences this world from a certain point of view. Many current approaches to consciousness fail to illuminate the nature of this “experienced world”. Some philosophers want to eliminate consciousness from science for good, others build theories in which the concept of consciousness (...)
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  81. John T. Sanders (1996). An Ecological Approach to Cognitive Science. Electronic Journal of Analytic Philosophy 1996 (Spring).score: 18.0
    Cognitive science is ready for a major reconceptualization. This is not at all because efforts by its practitioners have failed, but rather because so much progress has been made. The need for reconceptualization arises from the fact that this progress has come at greater cost than necessary, largely because of more or less philosophical (at least metatheoretical) straightjackets still worn - whether wittingly or not - by those doing the work. These bonds are extremely hard to break. Even some (...)
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  82. Tobin Nellhaus (2004). From Embodiment to Agency: Cognitive Science, Critical Realism and Communication Frameworks. Journal of Critical Realism 3 (1):103-132.score: 18.0
    The primacy of practice in the development of knowledge is one of materialism’s fundamental tenets. Most arguments supporting it have been strictly philosophical. However, over the past thirty years cognitive science has provided mounting evidence supporting the primacy of practice. Particularly striking is its finding that thought is fundamentally metaphoric—that images emerging from everyday embodied activities not only make ordinary experiences intelligible, but also underpin our more abstract engagements with the world, elaborated in disciplines such as ethics and science. (...)
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  83. Richard Montgomery (1990). The Reductionist Ideal in Cognitive Psychology. Synthese 85 (November):279-314.score: 18.0
    I offer support for the view that physicalist theories of cognition don't reduce to neurophysiological theories. On my view, the mind-brain relationship is to be explained in terms of evolutionary forces, some of which tug in the direction of a reductionistic mind-brain relationship, and some of which which tug in the opposite direction. This theory of forces makes possible an anti-reductionist account of the cognitive mind-brain relationship which avoids psychophysical anomalism. This theory thus also responds to the complaint which (...)
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  84. Alistair Isaac & Jakub Szymanik (2010). Logic in Cognitive Science: Bridging the Gap Between Symbolic and Connectionist Paradigms. Journal of the Indian Council of Philosophical Research (2):279-309.score: 18.0
    This paper surveys applications of logical methods in the cognitive sciences. Special attention is paid to non-monotonic logics and complexity theory. We argue that these particular tools have been useful in clarifying the debate between symbolic and connectionist models of cognition.
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  85. Keith Butler (1995). Representation and Computation in a Deflationary Assessment of Connectionist Cognitive Science. Synthese 104 (1):71-97.score: 18.0
    Connectionism provides hope for unifying work in neuroscience, computer science, and cognitive psychology. This promise has met with some resistance from Classical Computionalists, which may have inspired Connectionists to retaliate with bold, inflationary claims on behalf of Connectionist models. This paper demonstrates, by examining three intimately connected issues, that these inflationary claims made on behalf of Connectionism are wrong. This should not be construed as an attack on Connectionism, however, since the inflated claims made on its behalf have the (...)
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  86. Joseph L. H. Cruz (1998). Mindreading: Mental State Ascription and Cognitive Architecture. Mind and Language 13 (3):323-340.score: 18.0
    The debate between the theory-theory and simulation has largely ignored issues of cognitive architecture. In the philosophy of psychology, cognition as symbol manipulation is the orthodoxy. The challenge from connectionism, however, has attracted vigorous and renewed interest. In this paper I adopt connectionism as the antecedent of a conditional: If connectionism is the correct account of cognitive architecture, then the simulation theory should be preferred over the theory-theory. I use both developmental evidence and constraints on explanation in psychology (...)
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  87. Tom Froese (2011). Breathing New Life Into Cognitive Science. Avant 2 (1):113–129.score: 18.0
    In this article I take an unusual starting point from which to argue for a unified cognitive science, namely a position defined by what is sometimes called the ‘life-mind continuity thesis’. Accordingly, rather than taking a widely accepted starting point for granted and using it in order to propose answers to some well defined questions, I must first establish that the idea of life-mind continuity can amount to a proper starting point at all. To begin with, I therefore assess (...)
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  88. Albert E. Lyngzeidetson (1990). Massively Parallel Distributed Processing and a Computationalist Foundation for Cognitive Science. British Journal for the Philosophy of Science 41 (March):121-127.score: 18.0
    My purpose in this brief paper is to consider the implications of a radically different computer architecure to some fundamental problems in the foundations of Cognitive Science. More exactly, I wish to consider the ramifications of the 'Gödel-Minds-Machines' controversy of the late 1960s on a dynamically changing computer architecture which, I venture to suggest, is going to revolutionize which 'functions' of the human mind can and cannot be modelled by (non-human) computational automata. I will proceed on the presupposition that (...)
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  89. Lubomira Radoilska (2010). An Aristotelian Approach to Cognitive Enhancement. Journal of Value Inquiry 44 (3):365–375.score: 18.0
    In this paper, I argue that cognitive enhancement cannot be epistemically beneficial since getting things right in particular and epistemic agency in general both presuppose a kind of achievement. Drawing on Aristotle’s ethics, I distinguish four categories of actions: caused, attributable, responsible, and creditable. I conclude that to the extent that cognitive enhancement is incompatible with the latter category it undermines rather than strengthens autonomous agency in the realm of cognition.
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  90. Gennaro Auletta (2011). Cognitive Biology: Dealing with Information From Bacteria to Minds. Oxford University Press, Usa.score: 18.0
    Machine generated contents note: -- 1. Quantum Mechanics as a General Framework -- 2. Classical and Quantum Information and Entropy -- 3. The Brain: An Outlook -- 4. Vision -- 5. Dealing with Target's Motion and Our Own Movement -- 6. Complexity: A Necessary Condition -- 7. General Features of Life -- 8. The Organism as a Semiotic and Cybernetic System -- 9. Phylogeny -- 10. Ontogeny -- 11. Epigeny -- 12. Representational Semiotics -- 13. The Brain as an Information-Control (...)
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  91. Bradley Franks (1995). On Explanation in Cognitive Science: Competence, Idealization, and the Failure of the Classical Cascade. British Journal for the Philosophy of Science 46 (4):475-502.score: 18.0
    underpinning of the cognitive sciences. I argue, however, that it often fails to provide adequate explanations, in particular in conjunction with competence theories. This failure originates in the idealizations in competence descriptions, which either ?block? the cascade, or produce a successful cascade which fails to explain cognition.
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  92. Antony Bryant (2003). Cognitive Informatics, Distributed Representation and Embodiment. Brain and Mind 4 (2):215-228.score: 18.0
    This paper is a revised and extended version of a keynote contribution to a recent conference on Cognitive Informatics. It offers a brief summary of some of the core concerns of other contributions to the conference, highlighting the range of issues under discussion; and argues that many of the central concepts and preoccupations of cognitive informatics as understood by participants--and others in the general field of computation--rely on ill-founded realist assumptions, and what has been termed the functionalist view (...)
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  93. Martin Davies (2005). Cognitive Science. In Frank Jackson & Michael Smith (eds.), The Oxford Handbook of Contemporary Philosophy. New York: Oxford University Press New York.score: 18.0
    The so-called ‘cognitive revolution’ (Gardner, 1985) in American psychology owed much to developments in adjacent disciplines, especially theoretical linguistics and computer science. Indeed, the cognitive revolution brought forth, not only a change in the conception of psychology, but also an inter-disciplinary approach to understanding the mind, involving philosophy, anthropology and neuroscience along with computer science, linguistics and psychology. Many commentators agree in dating the conception of this inter-disciplinary approach, cognitive science, to 11 September 1956, the second day (...)
     
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  94. Richard P. Cooper (2006). Cognitive Architectures as Lakatosian Research Programs: Two Case Studies. Philosophical Psychology 19 (2):199-220.score: 18.0
    Cognitive architectures - task-general theories of the structure and function of the complete cognitive system - are sometimes argued to be more akin to frameworks or belief systems than scientific theories. The argument stems from the apparent non-falsifiability of existing cognitive architectures. Newell was aware of this criticism and argued that architectures should be viewed not as theories subject to Popperian falsification, but rather as Lakatosian research programs based on cumulative growth. Newell's argument is undermined because he (...)
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  95. K. Mitch Hodge (2006). What Myths Reveal About How Humans Think: A Cognitive Approach to Myth. Dissertation, University of Texas Arlingtonscore: 18.0
    This thesis has two main goals: (1) to argue that myths are natural products of human cognition; and (2) that structuralism, as introduced by Claude Levi-Strauss, provides an over-arching theory of myth when supplemented and supported by current research in philosophy of mind, cognitive psychology, and cognitive anthropology. With regard to (1), we argue that myths are naturally produced by the human mind through individuals’ interaction with their natural and social environments. This interaction is constrained by both the (...)
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  96. Xiaoxi Huang, Huaxin Huang, Beishui Liao & Cihua Xu (2013). An Ontology-Based Approach to Metaphor Cognitive Computation. Minds and Machines 23 (1):105-121.score: 18.0
    Language understanding is one of the most important characteristics for human beings. As a pervasive phenomenon in natural language, metaphor is not only an essential thinking approach, but also an ingredient in human conceptual system. Many of our ways of thinking and experiences are virtually represented metaphorically. With the development of the cognitive research on metaphor, it is urgent to formulate a computational model for metaphor understanding based on the cognitive mechanism, especially with the view to promoting natural (...)
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  97. Brian L. Keeley (2000). Neuroethology and the Philosophy of Cognitive Science. Philosophy of Science 60 (3):404-418.score: 18.0
    Neuroethology is a branch of biology that studies the neural basis of naturally occurring animal behavior. This science, particularly a recent program called computational neuroethology, has a similar structure to the interdisciplinary endeavor of cognitive science. I argue that it would be fruitful to conceive of cognitive science as the computational neuroethology of humans. However, there are important differences between the two sciences, including the fact that neuroethology is much more comparative in its perspective. Neuroethology is a biological (...)
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  98. Alexander Riegler (ed.) (1999). Understanding Representation in the Cognitive Sciences: Does Representation Need Reality. Dordrecht: Kluwer Academic Pub.score: 18.0
    This volume argues in favor of rethinking basic issues in cognitive science in the context of recent developments.
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