Representation in Cognitive Science: Replies

Mind and Language 35 (3):402-412 (2020)
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Abstract

In their constructive reviews, Frances Egan, Randy Gallistel and Steven Gross have raised some important problems for the account of content advanced by Nicholas Shea in Representation in Cognitive Science. Here the author addresses their main challenges. Egan argues that the account includes an unrecognised pragmatic element; and that it makes contents explanatorily otiose. Gallistel raises questions about homomorphism and correlational information. Gross puts the account to work to resolve a dispute about probabilistic contents in perception, but argues that a question remains about whether probabilities are found in the content or instead in the manner of representation.

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Author's Profile

Nicholas Shea
School of Advanced Study, University of London

Citations of this work

Teleological theories of mental content.Peter Schulte & Karen Neander - 2022 - Stanford Encyclopedia of Philosophy.
Operationalising Representation in Natural Language Processing.Jacqueline Harding - forthcoming - British Journal for the Philosophy of Science.
Neural Oscillations as Representations.Manolo Martínez & Marc Artiga - 2023 - British Journal for the Philosophy of Science 74 (3):619-648.
Third‐personal evidence for perceptual confidence.John Morrison - 2023 - Philosophy and Phenomenological Research 108 (1):106-135.

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References found in this work

Signals: Evolution, Learning, and Information.Brian Skyrms - 2010 - Oxford, GB: Oxford University Press.
How to think about mental content.Frances Egan - 2014 - Philosophical Studies 170 (1):115-135.
Content in Simple Signalling Systems.Nicholas Shea, Peter Godfrey-Smith & Rosa Cao - 2018 - British Journal for the Philosophy of Science 69 (4):1009-1035.
If perception is probabilistic, why does it not seem probabilistic?N. Block - 2018 - Philosophical Transactions of the Royal Society B: Biological Sciences 373.

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