| Abstract: |
| Effective communication is essential for coordination and cooperation within teams, directly influencing their efficiency and success. To better understand communication dynamics and their impact on team performance, we develop a modeling framework of two-agent interaction dynamics using both a discrete-time approach and a delay differential equation approach. The models capture communication exchanges between agents based on personality traits and the influence of received communication. Supported by data, we apply mathematical analysis and bifurcation diagrams to examine how personality and training shape communication quality and, in turn, task performance. Model validation and parameter estimation offer practical applications, including selecting team members who can collaborate effectively and improving communication training within established teams. By comparing outcomes from the discrete-time and delay-based models, we provide insights into the strengths of each approach and guidance on selecting the most suitable framework for modeling team communication. |
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