Computational Model Library

A Computational Simulation for Task Allocation Influencing Performance in the Team System (version 1.0.0)

This model system aims to simulate the whole process of task allocation, task execution and evaluation in the team system through a feasible method. On the basis of Complex Adaptive Systems (CAS) theory and Agent-based Modelling (ABM) technologies and tools, this simulation system attempts to abstract real-world teams into MAS models. The author designs various task allocation strategies according to different perspectives, and the interaction among members is concerned during the task-performing process. Additionally, knowledge can be acquired by such an interaction process if members encounter tasks they cannot handle directly. An artificial computational team is constructed through ABM in this simulation system, to replace real teams and carry out computational experiments. In all, this model system has great potential for studying team dynamics, and model explorers are encouraged to expand on this to develop richer models for research.

Release Notes

This simulation system is based on a preliminary model to explore the relationship between individual components and group level of performance. This system aims to focus on the impact of interaction among members on group performance under different task allocation strategies, and mainly paying attention to the influence of a single allocation outcome on interpersonal interactions and group performance.

Version Submitter First published Last modified Status
1.0.0 Shaoni Wang Fri Nov 11 03:37:27 2022 Fri Nov 11 03:37:27 2022 Published


This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.