Hai Zhuge is an ACM (Association of Computer Machinery) Distinguished Scientist and a Fellow of the British Computer Society. He has made a systematic contribution to semantics and knowledge modelling through fundamental research on the Semantic Link Network and the Resource Space Model based on multi-dimensional methodology. He is leading research on cyber-physical-social intelligence using methodological, theoretical and technical innovations. As an ACM Distinguished Speaker, he has delivered 20 keynotes at international conferences and invited lectures at universities in various countries. As a Professor, he is head of an international research network consisting of the Guangzhou University, the Key Laboratory of Intelligent Information Processing at the Institute of Computing Technology in Chinese Academy of Sciences, the University of Chinese Academy of Sciences, and the System Analytics Research Institute at Aston University. He was a Distinguished Visiting Fellow of the RoyalAcademy of Engineering. He is the author of four monographs: Cyber-Physical-Social Intelligence on Human-Machine-Nature Symbiosis (Springer, 2019), Multi-Dimensional Summarization in Cyber-Physical Society (Morgan Kaufmann, 20016), The Knowledge Grid: Toward Cyber-Physical Society (World Scientific, 2012), and The Web Resource Space Model (Springer, 2008). He is currently as an Associate Editor of IEEE Intelligent Systems.

• 1. Introduction.- a. Where are we?.- b. Symbiosis.- c. Man-Computer Symbiosis.- d. Human-Machine-Nature Symbiosis.- 2. Necessity of Studying Human-Machine-Nature Symbiosis and Principles.- 3. Competition and Symbiosis in Cyber-Physical Society. 4. Cyber-Physical-Social Communities.- 5. Symbiosis among Spaces.- 6. Material, Information and Knowledge Flows.- 7. Influence through Human-Machine-Nature Symbiosis.- 8. Cyber-Physical-Socioeconomic Computing Model for Symbiosis.- 9. Symbiosis between Computing and Thinking.- 10. Computing between Known and Unknown.- 11. Perspective.- 12. Application Analysis: Construct Symbiotic Network to Gain Value.- 13. Application Analysis: Recommendation of Things in Cyber-Physical Society.- 14. Symbiosis through Material, Data and Information Flows.- 15. Application Analysis: From Self-Programming to Human-Machine-Nature Symbiosis.- 16. Application Analysis: Information System Evolution.- 17. Application Analysis: Human-Machine-Nature Symbiotic Lifecycle Medicine.- 18. Conclusion.- References.

Hai Zhuge is an ACM (Association of Computer Machinery) Distinguished Scientist and a Fellow of the British Computer Society. He has made a systematic contribution to semantics and knowledge modelling through fundamental research on the Semantic Link Network and the Resource Space Model based on multi-dimensional methodology. He is leading research on cyber-physical-social intelligence using methodological, theoretical and technical innovations. As an ACM Distinguished Speaker, he has delivered 20 keynotes at international conferences and invited lectures at universities in various countries. As a Professor, he is head of an international research network consisting of the Guangzhou University, the Key Laboratory of Intelligent Information Processing at the Institute of Computing Technology in Chinese Academy of Sciences, the University of Chinese Academy of Sciences, and the System Analytics Research Institute at Aston University. He was a Distinguished Visiting Fellow of the RoyalAcademy of Engineering. He is the author of four monographs: Cyber-Physical-Social Intelligence on Human-Machine-Nature Symbiosis (Springer, 2019), Multi-Dimensional Summarization in Cyber-Physical Society (Morgan Kaufmann, 20016), The Knowledge Grid: Toward Cyber-Physical Society (World Scientific, 2012), and The Web Resource Space Model (Springer, 2008). He is currently as an Associate Editor of IEEE Intelligent Systems.

• 1. Introduction.- a. Where are we?.- b. Symbiosis.- c. Man-Computer Symbiosis.- d. Human-Machine-Nature Symbiosis.- 2. Necessity of Studying Human-Machine-Nature Symbiosis and Principles.- 3. Competition and Symbiosis in Cyber-Physical Society. 4. Cyber-Physical-Social Communities.- 5. Symbiosis among Spaces.- 6. Material, Information and Knowledge Flows.- 7. Influence through Human-Machine-Nature Symbiosis.- 8. Cyber-Physical-Socioeconomic Computing Model for Symbiosis.- 9. Symbiosis between Computing and Thinking.- 10. Computing between Known and Unknown.- 11. Perspective.- 12. Application Analysis: Construct Symbiotic Network to Gain Value.- 13. Application Analysis: Recommendation of Things in Cyber-Physical Society.- 14. Symbiosis through Material, Data and Information Flows.- 15. Application Analysis: From Self-Programming to Human-Machine-Nature Symbiosis.- 16. Application Analysis: Information System Evolution.- 17. Application Analysis: Human-Machine-Nature Symbiotic Lifecycle Medicine.- 18. Conclusion.- References.