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  1. Consciousness and motor control.Arthur C. Danto - 1985 - Behavioral and Brain Sciences 8 (4):540-541.
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  • Beyond reproductive success differentials.Martin Daly - 1993 - Behavioral and Brain Sciences 16 (2):289-290.
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  • On the premature demise of causal functions for consciousness in human information processing.Dale Dagenbach - 1991 - Behavioral and Brain Sciences 14 (4):675-675.
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  • How directly do we know our minds?Maria Czyzewska & Pawel Lewicki - 1993 - Behavioral and Brain Sciences 16 (1):37-38.
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  • Ethological foxes and cognitive hedgehogs.Jeffrey Cynx & Stephen J. Clark - 1993 - Behavioral and Brain Sciences 16 (4):756-757.
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  • Dennett's realisation theory of the relation between folk and scientific psychology.Adrian Cussins - 1988 - Behavioral and Brain Sciences 11 (3):508.
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  • Visual imagery as the simulation of vision.Gregory Currie - 1995 - Mind and Language 10 (1-2):25-44.
    Simulation Theory says we need not rely exclusively on prepositional knowledge of other minds in order to explain the actions of others. Seeking to know what you will do, I imagine myself in your situation, and see what decision I come up with. I argue that this conception of simulation naturally generalizes: various bits of our mental machine can be run‘off‐line’, fulfilling functions other than those they were made for. In particular, I suggest that visual imagery results when the visual (...)
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  • Narrative and coherence.Gregory Currie & Jon Jureidini - 2004 - Mind and Language 19 (4):409–427.
    We outline a theory of one puzzling aspect of human cognition: a tendency to exaggerate the degree to which agency is manifested in the world. We call this over‐coherent thinking. We use Pylyshyn's idea of cognitive penetrability to help characterize this notion. We argue that this kind of thinking is essentially narrative in form rather than theoretical. We develop a theory of the relation between the degree of narrativity in a representation and its aptness to represent, and to express, mind. (...)
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  • Rethinking the divide: Modules and central systems.Michael K. Cundall - 2006 - Philosophia 34 (4):379-393.
    In this paper I argue that the cognitive system is best viewed as a continuum of cognitive processing from modules to central systems rather than having these as discrete and wholly different modes of cognitive processing. I rely on recent evidence on the development of theory of mind (ToM) abilities and the developmental disorder of autism. I then turn to the phenomenology of modular processes. I show that modular outputs have a stronger force than non-modular or central system outputs. I (...)
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  • Epistemological strata and the rules of right reason.Robert C. Cummins, Pierre Poirier & Martin Roth - 2004 - Synthese 141 (3):287 - 331.
    It has been commonplace in epistemology since its inception to idealize away from computational resource constraints, i.e., from the constraints of time and memory. One thought is that a kind of ideal rationality can be specified that ignores the constraints imposed by limited time and memory, and that actual cognitive performance can be seen as an interaction between the norms of ideal rationality and the practicalities of time and memory limitations. But a cornerstone of naturalistic epistemology is that normative assessment (...)
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  • Critical Notice: "Computational Theory: critical discussion of Pylyshyn, "Computation and Cognition".Criical Notice.Robert Cummins - 1988 - Canadian Journal of Philosophy 18 (1):147-162.
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  • Computation and Cognition. [REVIEW]Robert Cummins - 1988 - Canadian Journal of Philosophy 18 (1):147-162.
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  • Human evolution: Emergence of the group-self.Vilmos Csányi - 1993 - Behavioral and Brain Sciences 16 (4):755-756.
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  • Towards a Darwinian Approach to Mathematics.Helen Cruz - 2006 - Foundations of Science 11 (1):157-196.
    In the past decades, recent paradigm shifts in ethology, psychology, and the social sciences have given rise to various new disciplines like cognitive ethology and evolutionary psychology. These disciplines use concepts and theories of evolutionary biology to understand and explain the design, function and origin of the brain. I shall argue that there are several good reasons why this approach could also apply to human mathematical abilities. I will review evidence from various disciplines (cognitive ethology, cognitive psychology, cognitive archaeology and (...)
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  • Broadbent's Maltese cross memory model: Wisdom, but not especially unconventional.Robert G. Crowder - 1984 - Behavioral and Brain Sciences 7 (1):72-72.
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  • A history of subliminal perception in autobiography.Robert G. Crowder - 1986 - Behavioral and Brain Sciences 9 (1):28-29.
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  • Arthropod Intelligence? The Case for Portia.Fiona R. Cross, Georgina E. Carvell, Robert R. Jackson & Randolph C. Grace - 2020 - Frontiers in Psychology 11.
    Macphail’s ‘null hypothesis’, that there are no differences in intelligence, qualitative or quantitative, between non-human vertebrates has been controversial. This controversy can be useful if it encourages interest in acquiring a detailed understanding of how non-human animals express flexible problem-solving capacity (‘intelligence’), but limiting the discussion to vertebrates is too arbitrary. As an example, we focus here on Portia, a spider with an especially intricate predatory strategy and a preference for other spiders as prey. We review research on pre-planned detours, (...)
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  • The Language of Thought: No Syntax Without Semantics.Tim Crane - 1990 - Mind and Language 5 (3):187-213.
    Many philosophers think that being in an intentional state is a matter of being related to a sentence in a mental language-a 'Language of Thought' (see especially Fodor 1975, 1987 Appendix; Field 1978). According to this view-which I shall call 'the LT hypothesis'-when anyone has a belief or a desire or a hope with a certain content, they have a sentence of this language, with that content, 'written' in their heads. The claim is meant quite literally: the mental representations that (...)
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  • Tractability considerations in deduction.James M. Crawford - 1993 - Behavioral and Brain Sciences 16 (2):343-343.
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  • Introduction.Tim Crane & Brian P. McLaughlin - 2009 - Synthese 170 (2):211-15.
    Jerry Fodor, by common agreement, is one of the world’s leading philosophers. At the forefront of the cognitive revolution since the 1960s, his work has determined much of the research agenda in the philosophy of mind and the philosophy of psychology for well over 40 years. This special issue dedicated to his work is intended both as a tribute to Fodor and as a contribution to the fruitful debates that his work has generated. One philosophical thesis that has dominated Fodor’s (...)
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  • Us, them and it: Modules, genes, environments and evolution.Fiona Cowie - 2008 - Mind and Language 23 (3):284–292.
    The Architecture of Mind is an ambitious and informative work, surveying an impressive range of empirical literature and arguing that the mind is massively modular. However, it suffers from two major theoretical flaws. First, Carruthers’ concept of a module is weak, so much so that it robs his thesis of massive modularity of any real substance. Second, his conception of how the mind’s modules evolved ignores the role of niche construction and cultural evolution to its detriment.
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  • Neuropsychology and mental structure: Where do we go from here?Nelson Cowan - 1991 - Behavioral and Brain Sciences 14 (3):445-446.
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  • Mad dog nativism.Fiona Cowie - 1998 - British Journal for the Philosophy of Science 49 (2):227-252.
    In his recent book, Concepts: Where Cognitive Science Went Wrong, Jerry Fodor retracts the radical concept-nativism he once defended. Yet that postion stood, virtually unchallenged, for more than twenty years. This neglect is puzzling, as Fodor's arguments against concepts being learnable from experience remain unanswered, and nativism has historically been taken very seriously as a response to empiricism's perceived shortcomings. In this paper, I urge that Fodorean nativism should indeed be rejected. I argue, however, that its deficiencies are not so (...)
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  • The place of cognition in human evolution.Alan Costall - 1993 - Behavioral and Brain Sciences 16 (4):755-755.
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  • The Middle Way to Reality: on Why I Am Not a Buddhist and Other Philosophical Curiosities.Christian Coseru - 2021 - Sophia 60 (3):1-24.
    This paper examines four central issues prompted by Thompson's recent critique of the Buddhist modernism phenomenon: (i) the suitability of evolutionary psychology as a framework of analysis for Buddhist moral psychological ideas; (ii) the issue of what counts as the core and main trajectory of the Buddhist intellectual tradition; (iii) the scope of naturalism in the relation between science and metaphysics, and (iv) whether a Madhyamaka-inspired anti-foundationalism stance can serve as an effective platform for debating the issue of progress in (...)
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  • The Middle Way to Reality: on Why I Am Not a Buddhist and Other Philosophical Curiosities.Christian Coseru - 2023 - Sophia 62 (1):87-110.
    The question whether Buddhism can enter a fruitful dialogue with modern science has come under critical scrutiny in recent years. This paper considers Evan Thompson's appraisal of that dialogue in Why I am Not a Buddhist, focussing on four areas of disagreement: (i) the suitability of evolutionary psychology as a framework of analysis for Buddhist moral psychological ideas; (ii) the issue of what counts as the core and main trajectory of the Buddhist intellectual tradition; (iii) the scope of naturalism in (...)
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  • Communication as Navigation: A New Role for Consciousness in Language.Erica Cosentino & Francesco Ferretti - 2014 - Topoi 33 (1):263-274.
    Classical cognitive science has been characterized by an association with the computational theory of mind. Although this association has produced highly significant results, it has also limited the scope of scientific psychology. In this paper, we analyse the limits of the specific kind of computational model represented by the Chomskian-Fodorian tradition in the study of mind and language. In our opinion, the adhesion to the principle of formality imposed by this specific computational model has motivated the exclusion of consciousness in (...)
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  • Beyond intuition and instinct blindness: Toward an evolutionary rigorous cognitive science.Leda Cosmides & John Tooby - 1994 - Cognition 50 (1-3):41-77.
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  • When the “chaos” is too chaotic and the “limit cycles” too limited, the mind boggles and the brain flounders.Michael A. Corner & Andre J. Noest - 1987 - Behavioral and Brain Sciences 10 (2):176-177.
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  • Social versus ecological intelligence.Marina Cords - 1992 - Behavioral and Brain Sciences 15 (1):151-151.
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  • Sign language and the brain: Apes, apraxia, and aphasia.David Corina - 1996 - Behavioral and Brain Sciences 19 (4):633-634.
    The study of signed languages has inspired scientific' speculation regarding foundations of human language. Relationships between the acquisition of sign language in apes and man are discounted on logical grounds. Evidence from the differential hreakdown of sign language and manual pantomime places limits on the degree of overlap between language and nonlanguage motor systems. Evidence from functional magnetic resonance imaging reveals neural areas of convergence and divergence underlying signed and spoken languages.
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  • Successive approximation in targeted movement: An alternative hypothesis.Paul J. Cordo & Leslie Bevan - 1992 - Behavioral and Brain Sciences 15 (4):729-730.
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  • Relevant features and statistical models of generalization.James E. Corter - 1986 - Behavioral and Brain Sciences 9 (4):653-654.
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  • How to grow a human.Michael C. Corballis - 1996 - Behavioral and Brain Sciences 19 (4):632-633.
    I enlarge on the theme that the brain mechanisms required for languageand other aspects of the human mind evolved through selective changes in the regulatory genes governing growth. Extension of the period of postnatal growth increases the role of the environment in structuring the brain, and spatiotemporal programming (heterochrony) ofgrowth might explain hierarchical representation, hemispheric specialization, and perhaps sex differences.
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  • Electrodermal responses to words in an irrelevant message: A partial reappraisal.Raymond S. Corteen - 1986 - Behavioral and Brain Sciences 9 (1):27-28.
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  • Consciousness and making choices.Raymond S. Corteen - 1991 - Behavioral and Brain Sciences 14 (4):674-674.
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  • Turing's o-machines, Searle, Penrose, and the brain.Jack Copeland - 1998 - Analysis 58 (2):128-138.
    In his PhD thesis (1938) Turing introduced what he described as 'a new kind of machine'. He called these 'O-machines'. The present paper employs Turing's concept against a number of currently fashionable positions in the philosophy of mind.
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  • Turing's O-machines, Searle, Penrose and the brain.B. J. Copeland - 1998 - Analysis 58 (2):128-138.
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  • The limits of conceivability: logical cognitivism and the language faculty.John Collins - 2009 - Synthese 171 (1):175-194.
    Robert Hanna (Rationality and logic. MIT Press, Cambridge, 2006) articulates and defends the thesis of logical cognitivism, the claim that human logical competence is grounded in a cognitive faculty (in Chomsky’s sense) that is not naturalistically explicable. This position is intended to steer us between the Scylla of logical Platonism and the Charybdis of logical naturalism (/psychologism). The paper argues that Hanna’s interpretation of Chomsky is mistaken. Read aright, Chomsky’s position offers a defensible version of naturalism, one Hanna may accept (...)
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  • On the very idea of a science forming faculty.John Collins - 2002 - Dialectica 56 (2):125–151.
    It has been speculated, by Chomsky and others, that our capacity for scientific understanding is not only enabled but also limited by a biologically endowed science forming faculty . I look at two sorts of consideration for the SFF thesis and find both wanting. Firstly, it has been claimed that a problem‐mystery distinction militates for the SFF thesis. I suggest that the distinction can be coherently drawn for cases, but that the purported‘evidence’for even a fairly lose general demarcation of problems (...)
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  • On the input problem for massive modularity.John M. Collins - 2004 - Minds and Machines 15 (1):1-22.
    Jerry Fodor argues that the massive modularity thesis – the claim that (human) cognition is wholly served by domain specific, autonomous computational devices, i.e., modules – is a priori incoherent, self-defeating. The thesis suffers from what Fodor dubs the input problem: the function of a given module (proprietarily understood) in a wholly modular system presupposes non-modular processes. It will be argued that massive modularity suffers from no such a priori problem. Fodor, however, also offers what he describes as a really (...)
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  • Meta-scientific Eliminativism: A Reconsideration of Chomsky's Review of Skinner's Verbal Behavior.John Collins - 2007 - British Journal for the Philosophy of Science 58 (4):625-658.
    The paper considers our ordinary mentalistic discourse in relation to what we should expect from any genuine science of the mind. A meta-scientific eliminativism is commended and distinguished from the more familiar eliminativism of Skinner and the Churchlands. Meta-scientific eliminativism views folk psychology qua folksy as unsuited to offer insight into the structure of cognition, although it might otherwise be indispensable for our social commerce and self-understanding. This position flows from a general thesis that scientific advance is marked by an (...)
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  • Linguistic competence without knowledge of language.John Collins - 2007 - Philosophy Compass 2 (6):880–895.
    Chomsky's competence/performance distinction has been traditionally understood as a distinction between our knowledge of language and how we put that knowledge to use. While this construal has its purposes, this article argues that the distinction as Chomsky proposes it depends upon no substantiation of the knowledge locution; rather, the distinction is intended to abstract one system out of an ensemble of systems whose integration underlies performance. The article goes on to assess and reject an argument that the knowledge locution, independent (...)
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  • Faculty disputes.John Collins - 2004 - Mind and Language 19 (5):503-33.
    Jerry Fodor, among others, has maintained that Chomsky's language faculty hypothesis is an epistemological proposal, i.e. the faculty comprises propositional structures known (cognized) by the speaker/hearer. Fodor contrasts this notion of a faculty with an architectural (directly causally efficacious) notion of a module. The paper offers an independent characterisation of the language faculty as an abstractly specified nonpropositional structure of the mind/brain that mediates between sound and meaning—a function in intension that maps to a pair of structures that determine soundmeaning (...)
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  • Bayesian cognitive science, predictive brains, and the nativism debate.Matteo Colombo - 2018 - Synthese 195 (11):4817-4838.
    The rise of Bayesianism in cognitive science promises to shape the debate between nativists and empiricists into more productive forms—or so have claimed several philosophers and cognitive scientists. The present paper explicates this claim, distinguishing different ways of understanding it. After clarifying what is at stake in the controversy between nativists and empiricists, and what is involved in current Bayesian cognitive science, the paper argues that Bayesianism offers not a vindication of either nativism or empiricism, but one way to talk (...)
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  • Two problems for the explanatory coherence theory of acceptability.L. Jonathan Cohen - 1989 - Behavioral and Brain Sciences 12 (3):471-471.
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  • Some difficulties about deduction.L. Jonathan Cohen - 1993 - Behavioral and Brain Sciences 16 (2):341-342.
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  • Modular mind or unitary system: A duck-rabbit effect.Gillian Cohen - 1984 - Behavioral and Brain Sciences 7 (1):71-72.
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  • Thinking in the Cloud: The Cognitive Incorporation of Cloud-Based Technology.Robert Clowes - 2015 - Philosophy and Technology 28 (2):261-296.
    Technologies and artefacts have long played a role in the structure of human memory and our cognitive lives more generally. Recent years have seen an explosion in the production and use of a new regime of information technologies that might have powerful implications for our minds. Electronic-Memory, powerful, portable and wearable digital gadgetry and “the cloud” of ever-present data services allow us to record, store and access an ever-expanding range of information both about and of relevance to our lives. Already, (...)
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  • Is Smolensky's treatment of connectionism on the level?Carol E. Cleland - 1988 - Behavioral and Brain Sciences 11 (1):27-28.
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