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@inproceedings{kurtan2020ideal,
  title={An ideal team is more than a team of ideal agents},
  author={Kurtan, Can and Yolum, P{\i}nar and Dastani, Mehdi},
  year={2020},
  booktitle={Proceedings of the 24th European Conference on Artificial Intelligence (ECAI)},
  pages={43--50},
  abstract = {The problem of building a team to perform a complextask is often more than an optimal assignment of subtasks to agentsbased  on  individual  performances.  Subtasks  may  have  subtle  de-pendencies and relations that affect the overall performance of theformed team. This paper investigates the dependencies between sub-tasks and introduces some desired qualities of teams, such as pre-serving  privacy  or  fairness.  It  proposes  algorithms  to  analyze  andbuild teams by taking into account the dependencies of assigned sub-tasks  and  agent  performances.  The  performance  of  the  algorithmsare  evaluated  experimentally  based  on  a  multiagent  system  that  isdeveloped to answer complex queries. We show that by improvingan initial team iteratively, the algorithm obtains teams with higherperformance.}
  doi = {https://doi.org/10.3233/FAIA200074},
  bib2html_rescat = {Organizations},
    bib2html_dl_pdf = "http://ecai2020.eu/papers/1261_paper.pdf"
}