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Updated: Jul 31, 2025
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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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Study on knowledge cooperation of interdisciplinary research team based on evolutionary game theory
1School of Management and Engineering, Capital University of Economics and Business, Beijing 10070, China.
Mathematical Biosciences and Engineering : MBE
|May 10, 2023
Summary
Knowledge sharing in university interdisciplinary research teams is crucial for success. Mutual cooperation and trust among researchers drive effective knowledge propagation, enhancing team dynamics and outcomes.
Area of Science:
- Organizational behavior
- Game theory
- Scientific collaboration
Background:
- University interdisciplinary research teams are increasingly common.
- Team success hinges on knowledge inventory, creativity, and foresight.
- Effective knowledge sharing is a key challenge.
Purpose of the Study:
- To conceptualize a framework for interdisciplinary research teams using game theory.
- To analyze the dynamic process of knowledge sharing.
- To identify factors influencing knowledge propagation within research teams.
Main Methods:
- Developed a game theory-based framework for interdisciplinary teams.
- Utilized a multi-symmetry evolution game model.
- Employed simulation verification to analyze decision-making impacts.
Main Results:
- Knowledge sharing is significantly influenced by member strategies.
- Mutual cooperation and trust are essential for knowledge propagation.
- The model demonstrates the dynamic interplay of individual decisions.
Conclusions:
- Cooperation and trust are foundational for successful knowledge sharing.
- The game theory model provides insights into team dynamics.
- Recommendations are offered for building and developing interdisciplinary research teams.
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