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How to Cite This article

Thomas W. Loker (2024). The illusion of  intrinsic meaning: reassessing conscious experience.. Journal of Multiscale Neuroscience, 3(4): 246-262.

DOI:   https://doi.org/10.56280/1658738928  

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Author Affiliation

Thomas W. Loker

 Individual Centricity Corporation, Danville, CA 94526, USA

Received   30 October 2024           

Accepted 15 November 2024             

Online published 6  DEcember  2024

Comment for this article

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         The illusion of  intrinsic meaning: reassessing conscious experience

ORIGINAL RESEARCH

Publication:   Journal of Multiscale Neuroscience     DOI: https://doi.org/10.56280/1658738928

 

Abstract

​The illusion of intrinsic meaning in predictive coding through cognitive artifacts to minimize prediction errors points toward a functionalist attempt at understanding conscious experience. It examines how conscious experience serves functional roles in predictive coding and symbolic cognition systems within the brain. By addressing recent developments in diverse fields like cognitive neuroscience, philosophy, and artificial intelligence, we argue that conscious experience emerges from the need to construct coherent narratives for survival and decision-making. Additionally, the paper explores the implications for artificial intelligence, suggesting that artificial systems could develop analogous cognitive artifacts through predictive models without subjective awareness, contributing to a functionalist understanding of consciousness, and further advancing the discussion on the nature of conscious experience in biological and artificial systems.

Keyword: Predictive Coding Framework, Illusory Significance Hypothesis,  Cognitive Artifacts in Consciousness,  Philosophy of Mind,  Artificial Intelligence

Conflict of Interest

The author declares no conflict of interest


​​This article belongs to the Special Issue                
Multiscalar brain adaptability in AI Systems
Lead Editor:
                       Dr. Shantipriya Parida
                       Senior Scientist, Silo AI,  Helsinki, Finland
                 

Copyright: © 2024 The Author(s). Published by Neural Press.

This is an open access article distributed under the terms and conditions of the CC BY 4.0 license.

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, Neural Press™  or the editors, and the reviewers. Any product that may be evaluated in this article, or claim that made by its manufacturer, is not guaranteed or endorsed by the publisher.

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