Computational Explanation of Consciousness:A Predictive Processing-based Understanding of Consciousness

Zhichao Gong

doi:10.47297/wspjhcWSP2515-469905.20240802

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Computational Explanation of Consciousness:A Predictive Processing-based Understanding of Consciousness

Volume 8, Issue 2

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Computational Explanation of Consciousness:A Predictive Processing-based Understanding of Consciousness
Computational Explanation of Consciousness:A Predictive Processing-based Understanding of Consciousness
School of Philosophy, Shanxi University, Taiyuan, China
Vol. 8, Issue 2, Pages: 39-49(2024)
Published：17 December 2024
DOI：10.47297/wspjhcWSP2515-469905.20240802
Accepted：

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Gong Zhichao.Computational Explanation of Consciousness:A Predictive Processing-based Understanding of Consciousness[J].Journal of Human Cognition,2024,08(02):39-49.
DOI：

Gong Zhichao.Computational Explanation of Consciousness:A Predictive Processing-based Understanding of Consciousness[J].Journal of Human Cognition,2024,08(02):39-49. DOI： 10.47297/wspjhcWSP2515-469905.20240802.

摘要

Abstract

In the domain of cognitive science

understanding consciousness through the investigation of neural correlates has been the primary research approach. The exploration of neural correlates of consciousness is focused on identifying these correlates and reducing consciousness to a physical phenomenon

embodying a form of reductionist physicalism. This inevitably leads to challenges in explaining consciousness itself. The computational interpretation of consciousness takes a functionalist view

grounded in physicalism

and models conscious experience as a cognitive function

elucidated through computational means. This paper posits that predictive processing offers a fresh paradigm for comprehending human cognition and serves as a neural foundation for the computational elucidation of consciousness. Additionally

free energy theory

as a mathematical construct explaining the predictive processing model

furnishes a theoretical scaffold for understanding consciousness computationally.

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Keywords

references

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