[1]LI Deyi.How can machines not cognize like humans[J].CAAI Transactions on Intelligent Systems,2025,20(5):1227-1231.[doi:10.11992/tis.202509006]
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How can machines not cognize like humans

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 20 Number of periods: 2025 5 Page number: 1227-1231 Column: 认知物理学专栏 Public date: 2025-09-05
Title:
How can machines not cognize like humans
Author(s):
LI Deyi
Institute of Systems Engineering, Academy of Military Sciences, Beijing 100091, China
Keywords:
machine intelligence; activation; soft-structured wares of thought; cognitive physics; cognitive complementarity; iterative intelligence
CLC:
TP18
DOI:
10.11992/tis.202509006
Abstract:
How can machine cognition be like human’s, and how can it be unlike human’s? These are questions that current artificial intelligence researchers have to answer. We are developing cognitive machines inspired by the brain science. They are material, mechanical and electronic physical devices, not virtual cells like biological neurons, and they do not constitute artificial life. Life cannot be restarted, but machines can; machines lack consciousness but can possess intelligence; memories can be preserved and not forgotten; machines as hardware can process information arbitrarily, but struggle to constrain the scope and content of the imagination of human; machine embodied intelligence is free from the limitations of human physiology. All of these factors have greatly enriched the functions and capabilities of cognitive machines, enabling them to replace an increasing number of human jobs. Machines are becoming increasingly human-like, even surpassing humans in some aspects. However, humans may not become more like machines; they may also be innovative. In the future, complementary iteration and efficient collaboration between the cognition of human and the intelligence of machine will be crucial. The smarter the machines, the wiser the humans, and human wisdom will always guide machine intelligence.
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Last Update: 2025-09-05

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