Xidian University | China
Zhihu Yang is an Associate Professor at Xidian University, where he has been a faculty member at the Center for Complex Intelligent Networks since 2014. Dr. Yang received his B.Eng. in Automation from Xidian University in 2009, followed by a PhD in Pattern Recognition and Intelligent Systems from the same institution in 2014. During 2017-2018, he furthered his academic journey as a visiting scholar at the Australian National University. His research primarily focuses on the evolutionary dynamics of altruistic behavior on complex networks, contributing to the understanding of cooperation, strategy evolution, and fairness in social dilemmas.
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Early Academic Pursuits
Dr. Yang’s academic journey began at Xidian University, where he completed his Bachelor’s degree in Automation. His strong interest in complex systems and network dynamics led him to pursue a PhD in Pattern Recognition and Intelligent Systems at the same institution. His doctoral research provided a foundation for his ongoing work in the evolution of cooperation and game theory, shaping his future research endeavors. During his time as a student, he exhibited a deep curiosity about social behavior, which has been a constant theme in his subsequent work.
Professional Endeavors
After earning his PhD, Dr. Yang joined the Center for Complex Intelligent Networks at Xidian University, where he continues to contribute to cutting-edge research. His work involves interdisciplinary research at the intersection of complex networks, game theory, and social behavior. His time as a visiting scholar at the Australian National University allowed him to engage with global scholars, broadening his perspective and enriching his research. Dr. Yang’s academic career is marked by a continuous pursuit of excellence in the study of cooperation dynamics and network evolution.
Contributions and Research Focus
Dr. Yang’s research has made significant contributions to understanding the evolutionary dynamics of altruistic behavior in complex networks. Some of his most notable findings include the discovery of strategy oscillations in two-strategy games and novel insights into the interplay between role evolution and strategy evolution in spatial ultimatum games. His studies on the spatial Prisoner’s Dilemma, random migration mechanisms, and the impact of conformity on cooperation have influenced how we understand cooperation in dynamic social systems. His work offers general mechanisms for promoting fairness and cooperation across networked societies.
Research Skills 🔬
Dr. Yang possesses strong expertise in complex system modeling, evolutionary game theory, and network dynamics. His research often involves sophisticated mathematical modeling, computational simulations, and reinforcement learning to explore cooperation and strategy evolution. His skills in data analysis, algorithm design, and network theory allow him to tackle interdisciplinary challenges, making him a leading expert in understanding human behavior through mathematical and computational lenses.
Teaching Experience 📖
Dr. Yang has been actively involved in teaching and mentoring students at Xidian University. As an associate professor, he teaches courses related to complex networks, pattern recognition, and intelligent systems. He has also supervised numerous graduate students, guiding them in their research and fostering their development as independent scholars. His ability to explain complex concepts and inspire critical thinking has made him a respected educator in his field.
Legacy and Future Contributions 🚀
Dr. Yang’s legacy in the field of evolutionary dynamics is marked by his groundbreaking contributions to the understanding of cooperation and strategy evolution. His innovative work continues to shape the study of social networks and altruism in complex systems. Looking forward, Dr. Yang’s future research is likely to explore the real-world applications of his findings, especially in social behavior and networked systems. He is poised to make further contributions to the integration of AI and machine learning with evolutionary game theory, potentially influencing fields like behavioral economics, social policy, and networked decision-making.
Publications Top Notes
The double-edged sword effect of conformity on cooperation in spatial Prisoner’s Dilemma Games with reinforcement learning
- Authors: Pai Wang, Zhihu Yang
Journal: Chaos, Solitons & Fractals
Year: 2024
Role polarization and its effects in the spatial ultimatum game
- Authors: Zhihu Yang
Journal: Physical Review E
Year: 2023
Random migration with tie retention promotes cooperation in the prisoner’s dilemma game
- Authors: Zhihu Yang, Liping Zhang
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Year: 2023
A Migration Mechanism With Neighbor Retention Promotes Cooperation
- Authors: Liping Zhang, Zhihu Yang
Journal: 2022 China Automation Congress (CAC)
Year: 2022
Oscillation and burst transition of human cooperation
- Authors: Zhihu Yang, Zhi Li
Journal: Nonlinear Dynamics
Year: 2022