论文标题
元素的智能越智能，整体越聪明。还是，可能不是？
The Less Intelligent the Elements, the More Intelligent the Whole. Or, Possibly Not?
论文作者
论文摘要
我们通过将Lotka-Volterra模型的猎物和捕食者赋予以不同级别的复杂程度的行为算法来赋予``智能''人造代理的``智能''人造代理的辩论。我们发现，通过赋予猎物和捕食者的能力，可以根据线性外推进行预测，从而出现一种新型的动态平衡，在这些动态平衡中，这两种物种共存而两个种群无限期地生长。尽管我们确认通常，简单的代理人有利于复杂的集体行为的出现，但我们还建议个人采用对方行为的一阶导数的能力可以允许对任何顺序的衍生物进行集体计算。
We approach the debate on how ``intelligent'' artificial agents should be, by endowing the preys and predators of the Lotka-Volterra model with behavioural algorithms characterized by different levels of sophistication. We find that by endowing both preys and predators with the capability of making predictions based on linear extrapolation a novel sort of dynamic equilibrium appears, where both species co-exist while both populations grow indefinitely. While we confirm that, in general, simple agents favour the emergence of complex collective behaviour, we also suggest that the capability of individuals to take first-order derivatives of one other's behaviour may allow the collective computation of derivatives of any order.
