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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2022 Vol.23 No.8 P.1142-1157
Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems
Abstract: In this paper, we aim 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 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 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 trustworthy HM-KA concept can provide a novel and canonical mechanism and benefit real-world practices of complex system CMC.
Key words: Complex systems; Human-machine knowledge automation; Parallel systems; Bulk power grid dispatch; Artificialintelligence; Internet of Minds (IoM)
1中国科学院自动化研究所复杂系统管理与控制国家重点实验室，中国北京市，100190
2中国国家电网有限公司，中国北京市，100031
3中国电力科学研究院有限公司，中国北京市，100192
4武汉大学电气与自动化学院，中国武汉市，430072
摘要：本文旨在阐述复杂系统认知、管理和控制中人机互信的混合增强智能和知识自动化机制与应用。本文从复杂系统研究的发展历程出发，通过对复杂系统的特性、人工智能科技、人机混合增强智能科技及其在复杂系统管控中的必要性阐述，分析了人类智能、机器智能在复杂系统管控中的优势与局限性，并提出"人机互信知识自动化"的概念。以电力系统大电网调控为背景，阐述了未来人机混合智能在大电网调度中可能的技术路径和应用基础，并以潮流校正控制为例，说明人机知识自动化任务流程的完成过程。通过本文内容的阐述，希望对基于人机混合增强智能的复杂系统管理和控制的理论方法提供一种新的机制和应用路径，并对社会典型复杂系统管控的数字化、智能化建设起到积极作用。
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DOI:
10.1631/FITEE.2100418
CLC number:
TP11
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On-line Access:
2022-08-22
Received:
2021-09-02
Revision Accepted:
2021-10-03
Crosschecked:
2022-08-29