Mathematical Biosciences and Engineering (Mar 2023)
Study on knowledge cooperation of interdisciplinary research team based on evolutionary game theory
Abstract
Based on knowledge sharing, a new kind of scientific research is up and coming in university interdisciplinary research teams via the current environment of organizational models. The success, however, depends on the knowledge inventory, the creative ability of the team members and their future insights. An attempt is made in this study to conceptualize a framework of an interdisciplinary research team based on game theory to analyze the dynamic propagation process of knowledge-sharing. Through simulation verification, a multi-symmetry evolution game model was built to analyze the impact of a member in selecting a decision-making strategy for the other member. The analysis reveals that the knowledge-sharing depends on mutual cooperation and trust between the researchers. Finally, reasonable suggestions are proposed in solving the problems in the process of building and developing the university interdisciplinary research team.
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