Did J. Searle take everything into account when entering the Chinese Room?

This article discusses the justification for John Searle’s criticism of the very possibility of strong artificial intelligence in light of the development of computations that implement the principles of organization and functioning of biological neural networks. Searle’s arguments are compared to the real-world situation that has developed within the evolution of technical systems. The subject of the study is the extent, to which his argumentation is relevant to specific types of artificial intelligence (expert systems, generative neural networks, etc.). The hypothesis is tested that Searle’s assertions underestimate the potential of neural networks to overcome the limitations of weak (non-autonomous) artificial intelligence. The author obtains a new result that reveals aspects of the ‘transcendental’ nature of Searle’s position, which broadly refers to biological naturalism.

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