In the research themed Human and Machine Behavior in Rock-Paper-Scissors, Professor Liang integrated cognitive science and machine learning models to analyze the behavioral characteristics of humans when generating random numbers and the issue of machine strategy optimization. The research first revealed the psychological traits of humans in rock-paper-scissors, including habitual moves, emotional fluctuations and strategy adjustments, pointing out that human decision-making is often dominated by psychological inertia. Subsequently, by exploring the behavioral patterns of machines, Professor Liang demonstrated how algorithms and probability analysis enable machines to quickly learn opponents’ move patterns and make optimal decisions. Finally, he summarized the essential differences between humans and machines in rock-paper-scissors: humans rely on intuition and emotion, while machines operate based on logic and computation. This comparison not only highlights the significant advantages of artificial intelligence in strategy optimization, but also provides a brand-new theoretical perspective and practical implications for in-depth research in the field of human-machine interaction in the future.

In the section on AI and Management Science Research, Professor Liang reviewed the development history of management science and emphasized that current research needs to be more oriented to national demands, promoting the transformation from an output-oriented model to a value-oriented one. The professor pointed out that with the rapid development of AI technology, management science research should go beyond the traditional pursuit of efficiency, and focus on national strategic needs, including social benefits, sustainable development, and the coordinated development of organizations and the environment.

Liang Liang is a Professor at Hefei University of Technology. He is mainly engaged in theoretical research and engineering practice in the fields of decision science and supply chain management. He was awarded the National Science Fund for Distinguished Young Scholars in 2005, and was selected into the Ministry of Education’s Major Talent Project from 2010 to 2012. In recent years, he has presided over and completed projects such as the Innovation Research Group project of the National Natural Science Foundation of China, the Science and Technology Support Program of the Ministry of Science and Technology, and the Strategic Planning Project of the Ministry of Emergency Management. Currently, he is in charge of the Basic Science Center project of the National Natural Science Foundation of China and the Strategic Planning Project funded by the Department of Management Sciences.

His theoretical research achievements have won the First-Class Award of Natural Science of the Ministry of Education (First Author), the First-Class Award of Outstanding Scientific Research Achievements of Institutions of Higher Education (Humanities and Social Sciences) of the Ministry of Education (First Author), and the First-Class Award of Science and Technology of Anhui Province (First Author). His applied research achievements have earned him the First-Class Award of China Industry-University-Research Innovation Achievements (Second Author) and the First-Class Award of National Enterprise Management Modernization Innovation Achievements (Second Author). His teaching achievements have twice won the Second-Class Award of National Teaching Achievements (First Author). Individually, he has received the Third National Innovation and Excellence Citation, the Anhui Provincial Major Scientific and Technological Achievement Award, the Fudan Distinguished Contribution Award in Management, as well as the National May 1st Labor Medal and the title of National Excellent Doctoral Dissertation Supervisor.

Written by/Kang Lin Reviewed by/Jia Ming