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Let $$f_{k}(n)$$ f k ( n ) be the maximum number of time steps taken to reach equilibrium by a system of $$n$$ n agents obeying the $$k$$ k -dimensional Hegselmann–Krause bounded confidence dynamics. Previously, it was known that $$\varOmega (n) = f_{1}(n) = O(n^3)$$ Ω ( n ) = f 1 ( n ) = O ( n 3 ) . Here we show that $$f_{1}(n) = \varOmega (n^2)$$...
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