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Frames of Discovery and the Formats of Cognitive Representation

Coelho Mollo, Dimitri and Vernazzani, Alfredo (2024) Frames of Discovery and the Formats of Cognitive Representation. [Preprint]

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Abstract

Research on the nature and varieties of the format of cognitive representations in
philosophy and cognitive science have been partly shaped by analogies to external, public
representations. In this paper, we argue that relying on such analogies contributes to framing
the question of cognitive formats in problematic, potentially counterproductive ways. We show
that cognitive and public representations differ in many of their central features, making
analogies to public representations ill-suited to improving our understanding of cognitive
formats. We illustrate these points by examining two case studies in which analogies to public
representations may have had a negative impact on research: the 80’s-90’s debate about
compositionality and cognitive architecture between symbolicists and connectionists; and
contemporary discussions about the nature of visual demonstratives. Finally, we outline an
alternative, computational account of formats that does not share the shortcomings of appeal
to public representations.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Coelho Mollo, Dimitridimitri.mollo@umu.se0000-0002-0464-3535
Vernazzani, Alfredo
Keywords: Representational Formats; Cognitive Representation; Language of Thought; Computation
Subjects: Specific Sciences > Cognitive Science > Computation
Specific Sciences > Artificial Intelligence
Specific Sciences > Cognitive Science > Concepts and Representations
Specific Sciences > Artificial Intelligence > Machine Learning
Depositing User: Dimitri Coelho Mollo
Date Deposited: 03 Dec 2024 13:10
Last Modified: 03 Dec 2024 13:10
Item ID: 24338
Subjects: Specific Sciences > Cognitive Science > Computation
Specific Sciences > Artificial Intelligence
Specific Sciences > Cognitive Science > Concepts and Representations
Specific Sciences > Artificial Intelligence > Machine Learning
Date: November 2024
URI: https://philsci-archive.pitt.edu/id/eprint/24338

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