Summary of Team Formation Amidst Conflicts, by Iasonas Nikolaou et al.
Team Formation amidst Conflicts
by Iasonas Nikolaou, Evimaria Terzi
First submitted to arxiv on: 29 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Science and Game Theory (cs.GT); Social and Information Networks (cs.SI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper develops efficient approximation algorithms for team formation amidst conflicts. The goal is to assign individuals to tasks based on their preferences and capacities, while considering the conflicts between them. To achieve this, the authors use dependent rounding schemes as a main tool. Their framework is versatile and can model various real-world scenarios in educational settings and human-resource management. Experimental results show that their algorithms outperform natural baselines and manual assignments by human experts. Moreover, they demonstrate the effectiveness of their approach in increasing diversity in teams. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps solve a problem called team formation amidst conflicts. Imagine you have to assign people to different tasks, considering what each person likes and dislikes, as well as any disagreements between them. The authors created efficient algorithms for doing this using special math techniques. Their approach can be applied to many real-life situations like schools and companies. They tested their methods on actual data and showed that they are better than just letting people decide themselves or having experts make the decisions. Additionally, their method helps create more diverse teams. |
