Category theory in consciousness science: going beyond the correlational project

Abstract We discuss the potential of applying category theory to the study of consciousness. We first review a recent proposal from the neurosciences of consciousness to illustrate the “correlational project”, using the integrated information theory of consciousness as an example. We then discuss some technical preliminaries related to categories and in particular to the notion of a functor, which carries the bulk of conceptual weight in many current discussions. We then look at possible payoffs of this project—getting to grips with the hard problem, theory integration, and exploiting explanatory dualities—and discuss possible avenues for further research, stressing the need to better develop the categorical representation of consciousness, in particular its phenomenological structure. A better understanding of consciousness cannot be achieved by merely studying the physical brain. By contrast, the categorical treatment even suggests application beyond the domain of neuroscience, for example in computer science and artificial intelligence research, while also emphasizing the primacy of (phenomenal) experience.

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Publication Details

Journal
Synthese
Published
2024-08-05
DOI
https://doi.org/10.1007/s11229-024-04718-5
Citations
3
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.03

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article

Category theory in consciousness science: going beyond the correlational project

Robert Prentner
3 citations
Synthese
Neural dynamics and brain function
1.03
article

Category theory in consciousness science: going beyond the correlational project

Robert Prentner
article en
3 citations

Abstract

Abstract We discuss the potential of applying category theory to the study of consciousness. We first review a recent proposal from the neurosciences of consciousness to illustrate the “correlational project”, using the integrated information theory of consciousness as an example. We then discuss some technical preliminaries related to categories and in particular to the notion of a functor, which carries the bulk of conceptual weight in many current discussions. We then look at possible payoffs of this project—getting to grips with the hard problem, theory integration, and exploiting explanatory dualities—and discuss possible avenues for further research, stressing the need to better develop the categorical representation of consciousness, in particular its phenomenological structure. A better understanding of consciousness cannot be achieved by merely studying the physical brain. By contrast, the categorical treatment even suggests application beyond the domain of neuroscience, for example in computer science and artificial intelligence research, while also emphasizing the primacy of (phenomenal) experience.

SyntheseVol. 204(2)
Munich School of Philosophy (DE), ShanghaiTech University (CN), GfK (Germany) (DE), Ludwig-Maximilians-Universität München (DE)
Ludwig-Maximilians-Universität München, ShanghaiTech University
Quality Education
Openalex Percentile: Top 25%
Neural dynamics and brain function
1.03
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