Use and usability: concepts of representation in philosophy, neuroscience, cognitive science, and computer science

📅 2026-04-15
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🤖 AI Summary
This study addresses the lack of a unified framework for representation theory across philosophy, neuroscience, cognitive science, and computer science. By integrating conceptual analysis with interdisciplinary literature, it proposes an analytical framework encompassing four dimensions: informational content, utility, format accessibility, and downstream usage. Building on this framework, the authors develop a three-tiered “information–accessible–used” model of representation. This model systematically synthesizes perspectives from multiple disciplines, offering a clear conceptual map and methodological guidance for representation research. It enables scholars to select definitions of representation that align precisely with their research objectives, thereby fostering clearer cross-disciplinary theoretical dialogue and conceptual clarification.

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📝 Abstract
Representations play a central role in the study of both biological and artificial intelligence, as well as philosophy of mind. Across neuroscience, computer science, and philosophy, a recurring theme is that representations not only carry information but should be ``useful'' for or ``usable'' by an agent in some sense. Here, we review how the ``usefulness'' of representations has been conceptualized and how it figures into different conceptions of representation. We identify and explore four aspects of use and usability: representations generally carry \textit{information}; that information may or may not be \textit{useful} and it may or may not be encoded in a usable \textit{format}; and the representations may or may not be \textit{used downstream}. Building on these four aspects of information and use, we then organize existing perspectives on neural representations into three levels: Representations as Information (Level 1); Representations as Usable (Level 2); and Representations as Used (Level 3). Our account is meant to give readers an appreciation for the diversity of notions of ``neural representation,'' help them navigate the vast and multi-disciplinary literature on the topic, and help them clarify the appropriate notion of representation for their own investigations.
Problem

Research questions and friction points this paper is trying to address.

representation
usefulness
usability
neural representation
information
Innovation

Methods, ideas, or system contributions that make the work stand out.

representation
usability
usefulness
neural representation
interdisciplinary framework
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