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Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management and control for complex systems
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Feiyue WANG, Jianbo GUO, Guangquan BU, Jun ZHANG. Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management and control for complex systems[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management and control for complex systems",
author="Feiyue WANG, Jianbo GUO, Guangquan BU, Jun ZHANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100418"
}
%0 Journal Article
%T Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management and control for complex systems
%A Feiyue WANG
%A Jianbo GUO
%A Guangquan BU
%A Jun ZHANG
%J Journal of Zhejiang University SCIENCE C
%V -1
%N -1
%P
%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100418
TY - JOUR
T1 - Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management and control for complex systems
A1 - Feiyue WANG
A1 - Jianbo GUO
A1 - Guangquan BU
A1 - Jun ZHANG
J0 - Journal of Zhejiang University Science C
VL - -1
IS - -1
SP -
EP -
%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100418
Abstract: This article aims to illustrate the concept of mutually trustworthy human-machine knowledge automation (HM-KA) as the technical mechanism of hybrid augmented intelligence (HAI)-based complex system cognition, management, and control (CMC). We begin with a description of the historical development of complex system science and analyze the limitations of human and machine intelligence. The need for using human-machine HAI in complex systems is then explained in detail. The concept of "mutually trustworthy HM-KA" mechanism is proposed to tackle the CMC challenge, and its technical procedure and pathway are demonstrated using an example of corrective control in bulk power grid dispatch. It is expected that the proposed "mutually trust-worthy HM-KA" concept can provide a novel and canonical mechanism, and benefit real-world practices of complex system cogni-tion, management, and control.
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