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Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 8 doi: 10.1631/FITEE.2100418

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems

Affiliation(s): The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; State Grid Cooperation of China, Beijing 100031, China; China Electric Power Research Institute, Beijing 100192, China; School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China; less

Received: 2021-09-02 Accepted: 2022-08-22 Available online: 2022-08-22

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Abstract

In this paper, we aim to illustrate the concept of mutually trustworthy (HM-KA) as the technical mechanism of hybrid augmented intelligence (HAI) based complex system cognition, management, and control (CMC). We describe the historical development of complex system science and analyze the limitations of human intelligence and machine intelligence. The need for using human-machine HAI in 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 . It is expected that the proposed mutually trustworthy HM-KA concept can provide a novel and canonical mechanism and benefit real-world practices of complex system CMC.

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