Artificial neural network and the prospect of AGI: an argument from architecture

Intelligent systems realized by artificial deep neural networks are entirely composed of Fodorian modules. Human mind exemplifies either the massive modularity or does not exhibit modular structures. In either case, human mind is not entirely composed of Fodorian modules. Human mind thus has a different architecture in compare with systems realized by neural networks. Realizing strong AI by deep neural networks alone turns out to be an unrealistic vision.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2025-10-29
DOI
https://doi.org/10.1007/s44163-025-00561-w
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Artificial neural network and the prospect of AGI: an argument from architecture

Bin Ye, Chang Liu
Discover Artificial Intelligence
Cognitive Computing and Networks
article

Artificial neural network and the prospect of AGI: an argument from architecture

Bin Ye, Chang Liu
article en

Abstract

Intelligent systems realized by artificial deep neural networks are entirely composed of Fodorian modules. Human mind exemplifies either the massive modularity or does not exhibit modular structures. In either case, human mind is not entirely composed of Fodorian modules. Human mind thus has a different architecture in compare with systems realized by neural networks. Realizing strong AI by deep neural networks alone turns out to be an unrealistic vision.

Discover Artificial IntelligenceVol. 5(1)
Sun Yat-sen University (CN), Fudan University (CN)
National Office for Philosophy and Social Sciences
Openalex Percentile: Top 83%
Cognitive Computing and Networks
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