TY - JOUR
T1 - Understanding the evolution and applications of intelligent systems via a tri‐x intelligence (Ti) model
AU - Zhao, Min
AU - Ning, Zhenbo
AU - Wang, Baicun
AU - Peng, Chen
AU - Li, Xingyu
AU - Huang, Sihan
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/6
Y1 - 2021/6
N2 - The evolution and application of intelligence have been discussed from perspectives of life, control theory and artificial intelligence. However, there has been no consensus on understanding the evolution of intelligence. In this study, we propose a Tri‐X Intelligence (TI) model, aimed at providing a comprehensive perspective to understand complex intelligence and the implementation of intelligent systems. In this work, the essence and evolution of intelligent systems (or system in-telligentization) are analyzed and discussed from multiple perspectives and at different stages (Type I, Type II and Type III), based on a Tri‐X Intelligence model. Elemental intelligence based on scientific effects (e.g., conscious humans, cyber entities and physical objects) is at the primitive level of intelligence (Type I). Integrated intelligence formed by two‐element integration (e.g., human-cyber systems and cyber‐physical systems) is at the normal level of intelligence (Type II). Complex intelligence formed by ternary‐interaction (e.g., a human‐cyber‐physical system) is at the dynamic level of intelligence (Type III). Representative cases are analyzed to deepen the understanding of intelligent systems and their future implementation, such as in intelligent manufacturing. This work provides a systematic scheme, and technical supports, to understand and develop intelligent sys-tems.
AB - The evolution and application of intelligence have been discussed from perspectives of life, control theory and artificial intelligence. However, there has been no consensus on understanding the evolution of intelligence. In this study, we propose a Tri‐X Intelligence (TI) model, aimed at providing a comprehensive perspective to understand complex intelligence and the implementation of intelligent systems. In this work, the essence and evolution of intelligent systems (or system in-telligentization) are analyzed and discussed from multiple perspectives and at different stages (Type I, Type II and Type III), based on a Tri‐X Intelligence model. Elemental intelligence based on scientific effects (e.g., conscious humans, cyber entities and physical objects) is at the primitive level of intelligence (Type I). Integrated intelligence formed by two‐element integration (e.g., human-cyber systems and cyber‐physical systems) is at the normal level of intelligence (Type II). Complex intelligence formed by ternary‐interaction (e.g., a human‐cyber‐physical system) is at the dynamic level of intelligence (Type III). Representative cases are analyzed to deepen the understanding of intelligent systems and their future implementation, such as in intelligent manufacturing. This work provides a systematic scheme, and technical supports, to understand and develop intelligent sys-tems.
KW - Cyber‐physical systems
KW - Human‐cyber systems
KW - Intelligent manufacturing
KW - Intelligent systems
KW - Tri‐X Intelligence
UR - http://www.scopus.com/inward/record.url?scp=85109084635&partnerID=8YFLogxK
U2 - 10.3390/pr9061080
DO - 10.3390/pr9061080
M3 - Article
AN - SCOPUS:85109084635
SN - 2227-9717
VL - 9
JO - Processes
JF - Processes
IS - 6
M1 - 1080
ER -