Who works harder today? Allocating agents efficiently among several tasks of heterogeneous difficulty.

In collective systems, efficient task allocation is crucial to maximize group performance, especially when agents face many tasks with heterogeneous difficulties. In such scenarios, an allocation strategy needs to balance both various task difficulties and available agents as a limited resource. Difficult tasks may require more agents to achieve similar accuracies across tasks, but a limited amount of agents requires careful allocation for high overall performance. We propose an algorithm for allocating agents to tasks with various difficulties to achieve maximum accuracy.

Simay Atasoy earned a Master’s degree in Electrical and Electronics Engineering from Middle East Technical University, Turkey, in 2022.During her master's studies, she worked in the robotics research and development department of a company. After completing her degree, she continued working in the industry before transitioning to academia. She is currently pursuing a PhD in Computer Science at the University of Konstanz, where her research focuses on collective decision making and task allocation.