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  1. (1 other version)Implicit learning and tacit knowledge.Arthur S. Reber - 1989 - Journal of Experimental Psychology: General 118 (3):219-235.
    I examine the phenomenon of implicit learning, the process by which knowledge about the rule-governed complexities of the stimulus environment is acquired independently of conscious attempts to do so. Our research with the two seemingly disparate experimental paradigms of synthetic grammar learning and probability learning, is reviewed and integrated with other approaches to the general problem of unconscious cognition. The conclusions reached are as follows: Implicit learning produces a tacit knowledge base that is abstract and representative of the structure of (...)
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  • Developing the explanatory dimensions of part–whole realization.Ronald Endicott - 2016 - Philosophical Studies 173 (12):3347-3368.
    I use Carl Gillett’s much heralded dimensioned theory of realization as a platform to develop a plausible part–whole theory. I begin with some basic desiderata for a theory of realization that its key terms should be defined and that it should be explanatory. I then argue that Gillett’s original theory violates these conditions because its explanatory force rests upon an unspecified “in virtue of” relation. I then examine Gillett’s later version that appeals instead to theoretical terms tied to “mechanisms.” Yet (...)
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  • Attention and the Cognitive Penetrability of Perception.Dustin Stokes - 2018 - Australasian Journal of Philosophy 96 (2):303-318.
    One sceptical rejoinder to those who claim that sensory perception is cognitively penetrable is to appeal to the involvement of attention. So, while a phenomenon might initially look like one where, say, a perceiver’s beliefs are influencing her visual experience, another interpretation is that because the perceiver believes and desires as she does, she consequently shifts her spatial attention so as to change what she senses visually. But, the sceptic will urge, this is an entirely familiar phenomenon, and it hardly (...)
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  • Connecting Conscious and Unconscious Processing.Axel Cleeremans - 2014 - Cognitive Science 38 (6):1286-1315.
    Consciousness remains a mystery—“a phenomenon that people do not know how to think about—yet” (Dennett, , p. 21). Here, I consider how the connectionist perspective on information processing may help us progress toward the goal of understanding the computational principles through which conscious and unconscious processing differ. I begin by delineating the conceptual challenges associated with classical approaches to cognition insofar as understanding unconscious information processing is concerned, and to highlight several contrasting computational principles that are constitutive of the connectionist (...)
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  • COGNITIVE (IM)PENETRABILITY OF VISION: RESTRICTING VISION vs. RESTRICTING COGNITION.Costas Pagondiotis - 2015 - In John Zeimbekis & Athanassios Raftopoulos (eds.), The Cognitive Penetrability of Perception: New Philosophical Perspectives. Oxford: Oxford University Press. pp. 378-403.
    Pylyshyn restricts cognitively penetrable vision to late vision, whereas he does not make any distinction between different kinds of penetrating cognition. I argue that this approach disconnects early vision content from late vision content and blurs the distinction between the latter and the content of thought. To overcome this problem I suggest that we should not distinguish between different kinds of visual content but instead introduce a restriction on the kind of cognition that can directly penetrate visual experience. In particular, (...)
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  • Nonconceptualism and the cognitive impenetrability of early vision.Josefa Toribio - 2014 - Philosophical Psychology 27 (5):621-642.
    (2014). Nonconceptualism and the cognitive impenetrability of early vision. Philosophical Psychology: Vol. 27, No. 5, pp. 621-642. doi: 10.1080/09515089.2014.893386.
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  • The imprecision of mental imagery.Thomas P. Moran - 1979 - Behavioral and Brain Sciences 2 (4):560-560.
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  • Imagery theory: not mysterious – just wrong.Zenon Pylyshyn - 1979 - Behavioral and Brain Sciences 2 (4):561-563.
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  • Conscious and nonconscious imagery.Alan Richardson - 1979 - Behavioral and Brain Sciences 2 (4):563-564.
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  • The demands of mental travel: demand characteristics of mental imagery experiments.Charles L. Richman, David B. Mitchell & J. Steven Reznick - 1979 - Behavioral and Brain Sciences 2 (4):564-565.
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  • Al, imagery, and theories.Roger C. Schank - 1979 - Behavioral and Brain Sciences 2 (4):566-566.
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  • Matters of definition in the demystification of mental imagery.John S. Antrobus - 1979 - Behavioral and Brain Sciences 2 (4):549-550.
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  • Neurologizing mental imagery: the physiological optics of the mind's eye.Bruce Bridgeman - 1979 - Behavioral and Brain Sciences 2 (4):550-550.
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  • Verbal hallucinations, unintendedness, and the validity of the schizophrenia diagnosis.R. P. Bentall & P. D. Slade - 1986 - Behavioral and Brain Sciences 9 (3):519-520.
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  • Verbal hallucinations and language production processes in schizophrenia.Ralph E. Hoffman - 1986 - Behavioral and Brain Sciences 9 (3):503-517.
    How is it that many schizophrenics identify certain instances of verbal imagery as hallucinatory? Most investigators have assumed that alterations in sensory features of imagery explain this. This approach, however, has not yielded a definitive picture of the nature of verbal hallucinations. An alternative perspective suggests itself if one allows the possibility that the nonself quality of hallucinations is inferred on the basis of the experience of unintendedness that accompanies imagery production. Information-processing models of “intentional” cognitive processes call for abstract (...)
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  • Antimisrepresentationalism.A. Charles Catania - 1982 - Behavioral and Brain Sciences 5 (3):374-375.
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  • The meaning of representation in animal memory.H. L. Roitblat - 1982 - Behavioral and Brain Sciences 5 (3):353-372.
    A representation is a remnant of previous experience that allows that experience to affect later behavior. This paper develops a metatheoretical view of representation and applies it to issues concerning representation in animals. To describe a representational system one must specify the following: thedomainor range of situations in the represented world to which the system applies; thecontentor set of features encoded and preserved by the system; thecodeor transformational rules relating features of the representation to the corresponding features of the represented (...)
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  • Hallucination, rationalization, and response set.Steven Schwartz - 1986 - Behavioral and Brain Sciences 9 (3):532-533.
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  • Not an alternative model for intentionality in vision.R. Brown, D. C. Earle & S. E. G. Lea - 1986 - Behavioral and Brain Sciences 9 (1):138-139.
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  • Intentionality and information theory.David P. Ellerman - 1986 - Behavioral and Brain Sciences 9 (1):143-144.
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  • Behavioral stress and myocardial ischemia: An example of conditional response modification.George E. Billman - 1986 - Behavioral and Brain Sciences 9 (2):295-296.
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  • Familiarity out-breeds.Patrick Bateson - 1987 - Behavioral and Brain Sciences 10 (1):71-72.
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  • A dualist-interactionist perspective.John C. Eccles - 1980 - Behavioral and Brain Sciences 3 (3):430-431.
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  • Programs, causal powers, and intentionality.John Haugeland - 1980 - Behavioral and Brain Sciences 3 (3):432-433.
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  • Reductionism and religion.Douglas R. Hofstadter - 1980 - Behavioral and Brain Sciences 3 (3):433-434.
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  • A plea for the second functionalist model and the insufficiency of simulation.Josef Perner - 1993 - Behavioral and Brain Sciences 16 (1):66-67.
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  • Direct vs. representational views of cognition: A parallel between vision and phonology.Samuel Jay Keyser & Steven Pinker - 1980 - Behavioral and Brain Sciences 3 (3):389-390.
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  • Heuristics and counterfactual self-knowledge.Adam Morton - 1993 - Behavioral and Brain Sciences 16 (1):63-64.
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  • Animal-environment mutuality and direct perception.Sandra S. Prindle, Claudia Carello & M. T. Turvey - 1980 - Behavioral and Brain Sciences 3 (3):395-397.
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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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  • Mysticism as a philosophy of artificial intelligence.Martin Ringle - 1980 - Behavioral and Brain Sciences 3 (3):444-445.
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  • The thermostat and the philosophy professor.Donald O. Walter - 1980 - Behavioral and Brain Sciences 3 (3):449-449.
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  • “Good developmental sequence” and the paradoxes of children's skills.Brian D. Josephson - 1993 - Behavioral and Brain Sciences 16 (1):53-54.
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  • The anthropology of folk psychology.Steven Daniel - 1993 - Behavioral and Brain Sciences 16 (1):38-39.
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  • Parrying.Kenneth Mark Colby - 1981 - Behavioral and Brain Sciences 4 (4):550-560.
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  • The abstract code as a translation device.David Premack - 1983 - Behavioral and Brain Sciences 6 (1):158-167.
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  • Colby's paranoia model: An old theory in a new frame?C. E. Izard & F. A. Masterson - 1981 - Behavioral and Brain Sciences 4 (4):539-540.
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  • Testing the components of a computer model.Brendan A. Maher - 1981 - Behavioral and Brain Sciences 4 (4):543-543.
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  • The codes of man and beasts.David Premack - 1983 - Behavioral and Brain Sciences 6 (1):125-136.
    Exposing the chimpanzee to language training appears to enhance the animal's ability to perform some kinds of tasks but not others. The abilities that are enhanced involve abstract judgment, as in analogical reasoning, matching proportions of physically unlike exemplars, and completing incomplete representations of action. The abilities that do not improve concern the location of items in space and the inferences one might make in attempting to obtain them. Representing items in space and making inferences about them could be done (...)
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  • Does constraining movements constrain the developement of movement theories?Daniel M. Corcos, Gerland L. Gottlieb & Gyan C. Agarwal - 1989 - Behavioral and Brain Sciences 12 (2):237-250.
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  • What is adapted in strategy-governed movements?U. Windhorst - 1989 - Behavioral and Brain Sciences 12 (2):236-237.
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  • Strategies are a means to an end.C. Ghez & J. Gordon - 1989 - Behavioral and Brain Sciences 12 (2):216-218.
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  • On to real-life movements.Paul J. Cordo, Fay B. Horak & Susan P. Moore - 1989 - Behavioral and Brain Sciences 12 (2):214-215.
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  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
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  • Précis of Deduction.Philip N. Johnson-Laird & Ruth M. J. Byrne - 1993 - Behavioral and Brain Sciences 16 (2):323-333.
    How do people make deductions? The orthodox view in psychology is that they use formal rules of inference like those of a “natural deduction” system.Deductionargues that their logical competence depends, not on formal rules, but on mental models. They construct models of the situation described by the premises, using their linguistic knowledge and their general knowledge. They try to formulate a conclusion based on these models that maintains semantic information, that expresses it parsimoniously, and that makes explicit something not directly (...)
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  • Response classes, operants, and rules in problem solving.Jan G. Rein - 1984 - Behavioral and Brain Sciences 7 (4):602-602.
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  • An operant analysis of problem solving.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):583-591.
    Behavior that solves a problem is distinguished by the fact that it changes another part of the solver's behavior and is strengthened when it does so. Problem solving typically involves the construction of discriminative stimuli. Verbal responses produce especially useful stimuli, because they affect other people. As a culture formulates maxims, laws, grammar, and science, its members behave more effectively without direct or prolonged contact with the contingencies thus formulated. The culture solves problems for its members, and does so by (...)
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  • Implementations, algorithms, and more.John R. Anderson - 1987 - Behavioral and Brain Sciences 10 (3):498-505.
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  • A flawed analogy?James Hendler - 1987 - Behavioral and Brain Sciences 10 (3):485-486.
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  • Generality and applications.Jill H. Larkin - 1987 - Behavioral and Brain Sciences 10 (3):486-487.
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