Marcelino Quito

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We employ an agent-based model to show that memory and the absence of an a priori best strategy are sufficient for self-segregation and clustering to emerge in a complex adaptive system with discrete agents that do not compete over a limited resource nor contend in a winner-take-all scenario. An agent starts from a corner of a two-dimensional lattice and(More)
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