The Development of Artificial Intelligence: Toward Consistency in the Logical Structures of Datasets, AI Models, Model Building, and Hardware?

The aim of this article is to explore potential directions for the development of artificial intelligence (AI). It points out that, while current AI can handle the statistical properties of complex systems, it has difficulty effectively processing and fully representing their spatiotemporal complexity patterns. The article also discusses a potential path of AI development in the engineering domain. Based on the existing understanding of the principles of multilevel complexity, this article suggests that consistency among the logical structures of datasets, AI models, model-building software, and hardware will be an important AI development direction and is worthy of careful consideration.