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The Language of Thought

Noûs 14 (1):120-124 (1975)

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  1. A Defense of Cartesian Materialism.Jonathan Opie - 1999 - Philosophy and Phenomenological Research 59 (4):939-963.
    One of the principal tasks Dennett sets himself in Consciousness Explained is to demolish the Cartesian theater model of phenomenal consciousness, which in its contemporary garb takes the form of Cartesian materialism: the idea that conscious experience is a process of presentation realized in the physical materials of the brain. The now standard response to Dennett is that, in focusing on Cartesian materialism, he attacks an impossibly naive account of consciousness held by no one currently working in cognitive science or (...)
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  • A puzzle about seeing for representationalism.James Openshaw & Assaf Weksler - 2020 - Philosophical Studies 177 (9):2625-2646.
    When characterizing the content of a subject’s perceptual experience, does their seeing an object entail that their visual experience represents it as being a certain way? If it does, are they thereby in a position to have perceptually-based thoughts about it? On one hand, representationalists are under pressure to answer these questions in the affirmative. On the other hand, it seems they cannot. This paper presents a puzzle to illustrate this tension within orthodox representationalism. We identify several interesting morals which (...)
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  • The representational codes for “sameness”.David S. Olton - 1983 - Behavioral and Brain Sciences 6 (1):154-154.
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  • Behavioral flexibility and the organization of action.David S. Olton - 1981 - Behavioral and Brain Sciences 4 (4):634-635.
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  • Inner and outer space: the neuroanatomical bases of spatially organized behaviors.David S. Olton - 1979 - Behavioral and Brain Sciences 2 (4):511-512.
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  • Where redescriptions come from.David R. Olson - 1994 - Behavioral and Brain Sciences 17 (4):725-725.
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  • The role of concepts in perception and inference.David R. Olson & Janet Wilde Astington - 1993 - Behavioral and Brain Sciences 16 (1):65-66.
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  • The cognitive map as a hippocampus.John O'Keefe & Lynn Nadel - 1979 - Behavioral and Brain Sciences 2 (4):520-533.
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  • Précis of O'Keefe & Nadel's The hippocampus as a cognitive map.John O'Keefe & Lynn Nadel - 1979 - Behavioral and Brain Sciences 2 (4):487-494.
    Theories of spatial cognition are derived from many sources. Psychologists are concerned with determining the features of the mind which, in combination with external inputs, produce our spatialized experience. A review of philosophical and other approaches has convinced us that the brain must come equipped to impose a three-dimensional Euclidean framework on experience – our analysis suggests that object re-identification may require such a framework. We identify this absolute, nonegocentric, spatial framework with a specific neural system centered in the hippocampus.A (...)
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  • Brain organization for language from the perspective of electrical stimulation mapping.George A. Ojemann - 1983 - Behavioral and Brain Sciences 6 (2):189-206.
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  • Electrical stimulation and the neurobiology of language.George A. Ojemann - 1983 - Behavioral and Brain Sciences 6 (2):221-230.
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  • Representational change, generality versus specificity, and nature versus nurture: Perennial issues in cognitive research.Stellan Ohlsson - 1994 - Behavioral and Brain Sciences 17 (4):724-725.
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  • Biotic intelligence (BI)?F. J. Odling-Smee - 1990 - Behavioral and Brain Sciences 13 (1):83-84.
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  • Cognitive science and phenomenal consciousness: A dilemma, and how to avoid it.Gerard O'Brien & Jon Opie - 1997 - Philosophical Psychology 10 (3):269-86.
    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 choice between (...)
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  • Modeling paranoia: The cargo cult metaphor.Keith Oatley - 1981 - Behavioral and Brain Sciences 4 (4):545-546.
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  • Mental models and the tractability of everyday reasoning.Mike Oaksford - 1993 - Behavioral and Brain Sciences 16 (2):360-361.
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  • Foldor' solipsisms: dont's look a gift horse in the ….Donald A. Norman - 1980 - Behavioral and Brain Sciences 3 (1):90-90.
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  • Time: a fourth dimension for the hippocampal cognitive map.Arthur J. Nonneman - 1979 - Behavioral and Brain Sciences 2 (4):511-511.
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  • The genome might as well store the entire language in the environment.Anat Ninio - 1990 - Behavioral and Brain Sciences 13 (4):746-747.
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  • Spatial position and perceived color of objects.Romi Nijhawan - 2003 - Behavioral and Brain Sciences 26 (1):43-44.
    Visual percepts are called veridical when a “real” object can be identified as their cause, and illusions otherwise. The perceived position and color of a flashed object may be called veridical or illusory depending on which viewpoint one adopts. Since “reality” is assumed to be fixed (independent of viewpoint) in the definition of veridicality (or illusion), this suggests that “perceived” position and color are not properties of “real” objects.
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  • The Simulation of Smiles (SIMS) model: Embodied simulation and the meaning of facial expression.Paula M. Niedenthal, Martial Mermillod, Marcus Maringer & Ursula Hess - 2010 - Behavioral and Brain Sciences 33 (6):417.
    Recent application of theories of embodied or grounded cognition to the recognition and interpretation of facial expression of emotion has led to an explosion of research in psychology and the neurosciences. However, despite the accelerating number of reported findings, it remains unclear how the many component processes of emotion and their neural mechanisms actually support embodied simulation. Equally unclear is what triggers the use of embodied simulation versus perceptual or conceptual strategies in determining meaning. The present article integrates behavioral research (...)
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  • Developmental evidence and introspection.Shaun Nichols - 1993 - Behavioral and Brain Sciences 16 (1):64-65.
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  • On models, mechanisms and the evolution of human language.John D. Newman - 1983 - Behavioral and Brain Sciences 6 (2):217-218.
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  • Natural selection and the autonomy of syntax.Frederick J. Newmeyer - 1990 - Behavioral and Brain Sciences 13 (4):745-746.
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  • Do mental models provide an adequate account of syllogistic reasoning performance?Stephen E. Newstead - 1993 - Behavioral and Brain Sciences 16 (2):359-360.
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  • Beyond the correspondence metaphor: When accuracy cannot be assessed.Ian R. Newby & Michael Ross - 1996 - Behavioral and Brain Sciences 19 (2):205-206.
    Koriat & Goldsmith propose that the correspondence metaphor captures the essence of everyday memory research. We suggest that correspondence is often not at issue because objective assessments of everyday events are frequently lacking. In these cases, other questions arise, such as how individuals evaluate the validity of memories and the significance they attach to those evaluations.
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  • A basis for action.Allen Newell - 1981 - Behavioral and Brain Sciences 4 (4):633-634.
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  • On the content of representations.R. J. Nelson - 1982 - Behavioral and Brain Sciences 5 (3):384-384.
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  • Metacognition, metaphors, and the measurement of human memory.Thomas O. Nelson - 1996 - Behavioral and Brain Sciences 19 (2):204-205.
    Investigations of metacognition – and also the application of the storehouse and correspondence metaphors – seem as appropriate for laboratory research as for naturalistic research. In terms of measurement, the only quantitative difference between the “input-bound percent correct” and “output-bound percent correct” is the inclusion versus exclusion (respectively) of omission errors in the denominator of the percentages.
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  • Connections among connections.R. J. Nelson - 1988 - Behavioral and Brain Sciences 11 (1):45-46.
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  • Remembering as doing.Ulric Neisser - 1996 - Behavioral and Brain Sciences 19 (2):203-204.
    Koriat & Goldsmith are right in their claim that the “ecological” and “traditional” approaches to memory rely on different metaphors. But the underlying ecological metaphor is notcorrespondence(which in any case is not a metaphorical notion): it isaction. Remembering is a kind of doing; like most other forms of action it is purposive, personal, and particular.
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  • The philosophy of linguistics: Scientific underpinnings and methodological disputes.Ryan M. Nefdt - 2019 - Philosophy Compass 14 (12):e12636.
    This article surveys the philosophical literature on theoretical linguistics. The focus of the paper is centred around the major debates in the philosophy of linguistics, past and present, with specific relation to how they connect to the philosophy of science. Specific issues such as scientific realism in linguistics, the scientific status of grammars, the methodological underpinnings of formal semantics, and the integration of linguistics into the larger cognitive sciences form the crux of the discussion.
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  • Hierarchical structures in the organization of motor behaviors.Lewis M. Nashner - 1981 - Behavioral and Brain Sciences 4 (4):633-633.
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  • Some thoughts on the proper foundations for the study of cognition in animals.Lynn Nadel - 1982 - Behavioral and Brain Sciences 5 (3):383-384.
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  • An account of color without a subject?Erik Myin - 2003 - Behavioral and Brain Sciences 26 (1):42-43.
    While color realism is endorsed, Byrne & Hilbert's (B&H's) case for it stretches the notion of “physical property” beyond acceptable bounds. It is argued that a satisfactory account of color should do much more to respond to antirealist intuitions that flow from the specificity of color experience, and a pointer to an approach that does so is provided.
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  • The psychology of category learning: Current status and future prospect.Gregory L. Murphy - 1986 - Behavioral and Brain Sciences 9 (4):664-665.
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  • On Fodor's First Law of the Nonexistence of Cognitive Science.Gregory L. Murphy - 2019 - Cognitive Science 43 (5):e12735.
    In his enormously influential The Modularity of Mind, Jerry Fodor (1983) proposed that the mind was divided into input modules and central processes. Much subsequent research focused on the modules and whether processes like speech perception or spatial vision are truly modular. Much less attention has been given to Fodor's writing on the central processes, what would today be called higher‐level cognition. In “Fodor's First Law of the Nonexistence of Cognitive Science,” he argued that central processes are “bad candidates for (...)
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  • Integrating neuroscience, psychology, and evolutionary biology through a teleological conception of function.Jennifer Mundale & William Bechtel - 1996 - Minds and Machines 6 (4):481-505.
    The idea of integrating evolutionary biology and psychology has great promise, but one that will be compromised if psychological functions are conceived too abstractly and neuroscience is not allowed to play a contructive role. We argue that the proper integration of neuroscience, psychology, and evolutionary biology requires a telelogical as opposed to a merely componential analysis of function. A teleological analysis is required in neuroscience itself; we point to traditional and curent research methods in neuroscience, which make critical use of (...)
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  • What about the unconscious?Chris Mortensen - 1999 - Behavioral and Brain Sciences 22 (1):162-162.
    O'Brien & Opie do not address the question of the psychotherapeutic role of unconscious representational states such as beliefs. A dilemma is proposed: if they accept the legitimacy of such states then they should modify what they say about dissociation, and if they do not, they owe us an account of why.
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  • Too little and latent.John Morton - 1985 - Behavioral and Brain Sciences 8 (1):26-27.
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  • Semantics: The State of the Art.J. M. E. Moravcsik - 1980 - Dialogue 19 (4):642-651.
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  • Mismatching categories?William Edward Morris & Robert C. Richardson - 1993 - Behavioral and Brain Sciences 16 (1):62-63.
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  • In defence of neurons.Chris Mortensen - 1988 - Behavioral and Brain Sciences 11 (1):44-45.
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  • Heuristics and counterfactual self-knowledge.Adam Morton - 1993 - Behavioral and Brain Sciences 16 (1):63-64.
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  • A total process approach to perception.Maxine Morphis - 1986 - Behavioral and Brain Sciences 9 (1):150-151.
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  • Another ANN model for the Miyashita experiments.Masahiko Morita - 1995 - Behavioral and Brain Sciences 18 (4):639-640.
    The Miyashita experiments are very interesting and the results should be examined from a viewpoint of attractor dynamics. Amit's target article shows a path toward realistic modeling by artificial neural networks (ANN), but it is not necessarily the only one. I introduce another model that can explain a substantial part of the empirical observations and makes an interesting prediction. This model consists of such units that have nonmonotonic input-output characteristics with local inhibition neurons.
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  • The hippocampus and informational salience.John W. Moore - 1979 - Behavioral and Brain Sciences 2 (4):510-511.
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  • Theorizing about truth outside of one’s own language.Graham Seth Moore - 2020 - Philosophical Studies 177 (4):883-903.
    A theory of truth is language-transcendent if it ascribes truth conditions to truth-bearers that are not expressible in our natural language; a theory is language-immanent if it is not language-transcendent. In this paper, I argue for the following theses. Whether the correct theory of truth is language-transcendent or language-immanent will have significant consequences for general philosophy. Prima facie, a language-transcendent theory is preferable. However, language-transcendent theories tend to require substantive metaphysical commitments concerning truth. Deflationist theories are particularly interesting in this (...)
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  • Knowledge of the psychological states of self and others is not only theory-laden but also data-driven.Chris Moore & John Barresi - 1993 - Behavioral and Brain Sciences 16 (1):61-62.
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  • Criteria of cognitive impenetrability.Robert C. Moore - 1980 - Behavioral and Brain Sciences 3 (1):146-147.
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