Important Dates:

Submission of Manuscripts
(all types):
04 September 2023
Invited Session Proposals: 04 September 2023
Workshop/Tutorial Proposals: 04 September 2023
Author Notification: 27 November 2023
Final Papers: 03 December 2023
Early Registration: 04 December 2023
The Award Nominations: 01 December 2023
Conference: 01 February 2024

Plenary Sessions

ANZCC 2024 Plenary Session 1

01 February 2024 (Thursday)

Professor Xiao Wang

Professor Xiao Wang

Professor, Anhui University, Hefei,230031, China.
President, Qingdao Academy of Intelligent Industries, Qingdao,266114 China
Professor Xiao Wang

AGI in Metaverse for Smart Cities and Societies: A Cyber Physical Social Approach


The development of artificial general intelligence (AGI) and metaverse technologies hold great potential to enhance the effectiveness of smart cities and societies. we present a cyber-physical-social approach to integrating AGI into metaverse-based smart cities and societies, with a specific focus on parallel intelligence. The proposed approach considers the interplay between the physical environment, digital systems, social dynamics, and emerging forms of parallel intelligence, as well as swarm intelligence and collective intelligence. By leveraging these forms of parallel intelligence, the integration of AGI can create more responsive and proactive infrastructure, personalized and efficient services, and foster greater community engagement. The metaverse acts as a platform for simulating real-world scenarios and testing and refining AGI models before deployment in the physical world, while also facilitating the development and coordination of parallel intelligence. However, ethical considerations must be taken into account to ensure responsible deployment and avoid exacerbating existing societal inequalities or infringing upon individual privacy rights. This report provides a comprehensive framework for the integration of AGI and parallel intelligence into metaverse-based digital and smart organizations, while emphasizing the importance of human ethics, social responsibility, and ecological sustainability.


Xiao Wang received her B.E degree in network engineering from the Dalian University of Technology, Dalian, China, in 2011, M.E and Ph.D. in social computing from the University of Chinese Academy of Sciences, Beijing, China, in 2016. She is a professor at Anhui University, Hefei,230031, China. She is also at the Qingdao Academy of Intelligent Industries, Qingdao, 266114, China. Her research interests include social computing, knowledge automation, parallel intelligence, autonomous driving and ITS, SciTS, and DAO-based computational social systems.

ANZCC 2024 Sponsors:
ANZCC 2024 Technical Co-sponsors:
Platinum Sponsors Griffith University
Gold Sponsors
Silver Sponsors Automatica Sinica
Asian Control Association International Federation of Automatic Control Control Systems Society IEEE
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