We examine scalability of teams and tasks by considering complex tasks that require a team-of-teams approach. Given a complex task, this thrust considers how to decompose it into subtasks, the effect of inter-task dependencies, and how to assign teams to such tasks. We consider the learning of optimal decomposition and coordination structures using methods from reinforcement learning, and we examine adaptivity over nested tasks and learning of optimal coordination structures.
Thrust 3 Tasks:
- Examine the structure and assignment for nested tasks
- Decomposing tasks into subtasks
- Assigning tasks to individuals and subgroups
- Coordinating interdependencies among subtasks
- Develop composite models for nested tasks
- Malone, T. W, Nickerson, J. V, Laubacher, R. J, Fisher, L. H., de Boer, P., Han, Y., Towne, W. B. 2017. Putting the pieces back together again: Contest webs for large-scale problem solving. ACM Conference on Computer-Supported Cooperative Work and Social Computing.
- Jones, A. T., Friedkin, N., Singh, A. K. 2017. Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations. 6th Annual International Conference on Complex Networks and Their Applications.
- Engel, D., Malone, T. W. 2017. Integrated information as a metric for group interaction: Analyzing human and computer groups using a technique developed to measure consciousness. arXiv preprint arXiv:1702.02462.
- Malone, T. W. 2018. Superminds: The surprising power of people and computers working together. New York: Little Brown.