Towards Human-like Artificial Intelligence: A Review of Anthropomorphic Computing in AI and Future Trends

Jiacheng Zhang and Haolan Zhang ()
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Jiacheng Zhang: School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
Haolan Zhang: Ningbo Institute of Technology, Zhejiang University, Ningbo 315104, China

Mathematics, 2025, vol. 13, issue 13, 1-49

Abstract: Artificial intelligence has brought tremendous convenience to human life in various aspects. However, during its application, there are still instances where AI fails to comprehend certain problems or cannot achieve flawless execution, necessitating more cautious and thoughtful usage. With the advancements in EEG signal processing technology, its integration with AI has become increasingly close. This idea of interpreting electroencephalogram (EEG) signals illustrates researchers’ desire to explore the deeper relationship between AI and human thought, making human-like thinking a new direction for AI development. Currently, AI faces several core challenges: it struggles to adapt effectively when interacting with an uncertain and unpredictable world. Additionally, the trend of increasing model parameters to enhance accuracy has reached its limits and cannot continue indefinitely. Therefore, this paper proposes revisiting the history of AI development from the perspective of “anthropomorphic computing”, primarily analyzing existing AI technologies that incorporate structures or concepts resembling human brain thinking. Furthermore, regarding the future of AI, we will examine its emerging trends and introduce the concept of “Cyber Brain Intelligence”—a human-like AI system that simulates human thought processes and generates virtual EEG signals.

Keywords: artificial intelligence; human-like thinking; electroencephalogram (EEG); anthropomorphic computation; cyber brain intelligence; AI future trends (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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