[1]LI Deyi,ZHANG Tianlei,HAN Wei,et al.Structure and activation of cognitive machines[J].CAAI Transactions on Intelligent Systems,2024,19(6):1604-1613.[doi:10.11992/tis.202409024]
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Structure and activation of cognitive machines

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 19 Number of periods: 2024 6 Page number: 1604-1613 Column: 洞见与碰撞 Public date: 2024-12-05
Title:
Structure and activation of cognitive machines
Author(s):
LI Deyi1;  ZHANG Tianlei2;  HAN Wei3;  HAI Dan3;  BAO Hong4;  GAO Hongbo5
1. School of Information Science and Technology, Tsinghua University, Beijing 100084, China;
2. Trunk Technology Corporation Ltd., Beijing 100083, China;
3. AIforce Technology Corporation Ltd., Beijing 100085, China;
4. School of Robotics, Beijing Union University, Beijing 100101, China;
5. School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China
Keywords:
cognitive nucleus; intelligent trace meta-cell networks; entanglement; memory intelligence; embodied intelligence
CLC:
TP18
DOI:
10.11992/tis.202409024
Abstract:
Understanding human cognition from a physical perspective is a core challenge for artificial intelligence (AI). This study analyzes the limitations of isolated computing, neglecting memory and isolated thinking, and overlooking embodied intelligence within the general structure of computers. In the driving cognition scenario, we propose a general structure of cognitive machines encompassing perception, thinking, and behavior, which differs from the computer architecture, as well as from Yann LeCun’s “world model,” and Li Feifei’s “space model.” It introduces memory blocks and employs artificial intelligent trace meta-cells as mirrors of neural cells, and intelligent trace meta-cells networks are used to form the thinking soft-structured ware to realize the generation, regulation, and extraction of memory intelligence. The hard-structured ware can use parallel processing units such as CPU, DPU, GPU, TPU, FPGA, and search engines. Therefore, the system must be heterogeneous. Once powered on, the machine is no longer a pile of inert matter; it will be activated through the entanglement between the thinking soft-structured ware and the material hard-structured ware in the cognitive nucleus. The activated machine thrives on negative entropy and enters a cognitive state of interaction with the physical world. Machine cognition is both human-and non-human-like; it can be reactivated after downtime, achieving independent perception, cognition, decision-making and behavior, interaction, learning, and self-growth. This structure can be used to construct digital virtual robots and intelligent agents with a myriad of shapes to replace human labor, rapidly propelling humanity into an intelligent era of man–machine symbiosis.
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