|Título||Solving the Synergistic Team Formation Problem|
|Publication Type||Conference Paper|
|Year of Publication||2018|
|Authors||Andrejczuk E, Bistaffa F, Blum C, Rodríguez-Aguilar JA, Sierra C|
|Conference Name||Proceedings of the 17th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2018)|
Co-operative learning is used to refer to learning procedures for heterogeneous teams in which individual and teamwork are organised to complete academic tasks. Key factors for team performance are competences, personality and team members’ genders. Here, we present a computational model to form heterogeneous teams that incorporates those key factors. In addition, we propose efficient algorithms to partition a classroom into teams of even size and homogeneous performance. The first algorithm is based on an ILP formulation. For small problem instances, this approach is appropriate. However, this is not the case for large problems, for which we propose a heuristic algorithm. We study the computational properties of both algorithms in the context of student teams.
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