The power of teams that disagree:team formation in large action spaces

Soriano Marcolino, Leandro and Xu, Haifeng and Xin Jiang, Albert and Tambe, Milind and Bowring, Emma (2015) The power of teams that disagree:team formation in large action spaces. In: Coordination, Organizations, Institutions and Norms in Agent Systems X. Lecture Notes in Computer Science . Springer, pp. 213-232. ISBN 9783319254197

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Recent work has shown that diverse teams can outperform a uniform team made of copies of the best agent. However, there are fundamental questions that were never asked before. When should we use diverse or uniform teams? How does the performance change as the action space or the teams get larger? Hence, we present a new model of diversity, where we prove that the performance of a diverse team improves as the size of the action space increases. Moreover, we show that the performance converges exponentially fast to the optimal one as we increase the number of agents. We present synthetic experiments that give further insights: even though a diverse team outperforms a uniform team when the size of the action space increases, the uniform team will eventually again play better than the diverse team for a large enough action space. We verify our predictions in a system of Go playing agents, where a diverse team improves in performance as the board size increases, and eventually overcomes a uniform team.

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19 Sep 2016 10:24
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18 Sep 2023 02:35