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Computation and content

Philosophical Review 104 (2):181-203 (1995)

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  1. Computational models: a modest role for content.Frances Egan - 2010 - Studies in History and Philosophy of Science Part A 41 (3):253-259.
    The computational theory of mind construes the mind as an information-processor and cognitive capacities as essentially representational capacities. Proponents of the view claim a central role for representational content in computational models of these capacities. In this paper I argue that the standard view of the role of representational content in computational models is mistaken; I argue that representational content is to be understood as a gloss on the computational characterization of a cognitive process.Keywords: Computation; Representational content; Cognitive capacities; Explanation.
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  • The Enactive Automaton as a Computing Mechanism.Joe Dewhurst & Mario Villalobos - 2017 - Thought: A Journal of Philosophy 6 (3):185-192.
    Varela, Thompson, and Rosch illustrated their original presentation of the enactive theory of cognition with the example of a simple cellular automaton. Their theory was paradigmatically anti-computational, and yet automata similar to the one that they describe have typically been used to illustrate theories of computation, and are usually treated as abstract computational systems. Their use of this example is therefore puzzling, especially as they do not seem to acknowledge the discrepancy. The solution to this tension lies in recognizing a (...)
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  • Realism and instrumentalism in Bayesian cognitive science.Danielle Williams & Zoe Drayson - 2024 - In Tony Cheng, Ryoji Sato & Jakob Hohwy (eds.), Expected Experiences: The Predictive Mind in an Uncertain World. Routledge.
    There are two distinct approaches to Bayesian modelling in cognitive science. Black-box approaches use Bayesian theory to model the relationship between the inputs and outputs of a cognitive system without reference to the mediating causal processes; while mechanistic approaches make claims about the neural mechanisms which generate the outputs from the inputs. This paper concerns the relationship between these two approaches. We argue that the dominant trend in the philosophical literature, which characterizes the relationship between black-box and mechanistic approaches to (...)
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  • The creative aspect of language use and the implications for linguistic science.Eran Asoulin - 2013 - Biolinguistics 7:228-248.
    The creative aspect of language use provides a set of phenomena that a science of language must explain. It is the “central fact to which any signi- ficant linguistic theory must address itself” and thus “a theory of language that neglects this ‘creative’ aspect is of only marginal interest” (Chomsky 1964: 7–8). Therefore, the form and explanatory depth of linguistic science is restricted in accordance with this aspect of language. In this paper, the implications of the creative aspect of language (...)
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  • Computational Individuation.Fiona T. Doherty - manuscript
    I show that the indeterminacy problem for computational structuralists is in fact far more problematic than even the harshest critic of structuralism has realised; it is not a bullet which can be bitten by structuralists as previously thought. Roughly, this is because the structural indeterminacy of logic-gates such as AND/OR is caused by the structural identity of the binary computational digits 0/1 themselves. I provide a proof that pure computational structuralism is untenable because structural indeterminacy entails absurd consequences - namely, (...)
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  • Externalism and Internalism in the Philosophy of Mind.Robert A. Wilson - 2017 - Oxford Bibliographies.
    Annotated bibliography of works on externalism and internalism in the philosophy of mind.
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  • Cognitive Computation sans Representation.Paul Schweizer - 2017 - In Thomas Powers (ed.), Philosophy and Computing: Essays in epistemology, philosophy of mind, logic, and ethics,. Cham, Switzerland: Springer. pp. 65-84.
    The Computational Theory of Mind (CTM) holds that cognitive processes are essentially computational, and hence computation provides the scientific key to explaining mentality. The Representational Theory of Mind (RTM) holds that representational content is the key feature in distinguishing mental from non-mental systems. I argue that there is a deep incompatibility between these two theoretical frameworks, and that the acceptance of CTM provides strong grounds for rejecting RTM. The focal point of the incompatibility is the fact that representational content is (...)
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  • The psychology of time and its philosophical implications.Carlos Montemayor - 2009 - Dissertation, Rutgers
    This dissertation offers new proposals, based on a philosophical appraisal of scientific findings, to address old philosophical problems regarding our immediate acquaintance with time. It focuses on two topics: our capacity to determine the length of intervals and our acquaintance with the present moment. A review of the relevant scientific findings concerning these topics grounds the main contributions of this dissertation. Thus, this study introduces to the philosophical literature an empirically adequate way to talk about how the mind represents time (...)
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  • The rise and fall of computational functionalism.Oron Shagrir - 2005 - In Yemima Ben-Menahem (ed.), Hilary Putnam (Contemporary Philosophy in Focus). Cambridge University Press.
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  • The face of perception.Charles S. Travis - 2005 - In Hilary Putnam (Contemporary Philosophy in Focus). Cambridge: Cambridge University Press.
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