Abstract
It is common knowledge that a majority system is typically better than its components, when the components are stochastically independent. However, in practice the independency assumption is often not justified. We investigate systems of experts which are constituted by couples of dependent agents. Based on recent theoretical work we analyse their performance in a simple 2-player subtraction game. It turns out that systems with negatively correlated couples perform better than those with positive correlation within the couples. From computer chess practice it was at least known that systems of very positively correlated bots were not too successful.
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