The Less Intelligent the Elements, the More Intelligent the Whole. Or, Possibly Not?
Guido Fioretti
基于代理的建模社区就“智能”人工代理应该如何展开辩论,以及他们的地方智能与集体智能的出现有关。 我通过赋予Lotka-Volterra模型的猎物和捕食者以不同复杂程度为特征的行为算法来接近这个辩论。 主要发现是,通过赋予猎物和捕食者以线性外推为基础进行预测的能力,出现了一种新的动态平衡,其中两个物种共存,而两个种群都无限期地增长。 虽然这大致证实,一般来说,相对简单的代理有利于复杂的集体行为的出现,但它也表明,一个基本机制是,个人采取一阶衍生物的能力可以允许集体计算任何秩序的衍生物。
The agent-based modelling community has a debate on how "intelligent" artificial agents should be, and in what ways their local intelligence relates to the emergence of a collective intelligence. I approach this debate by endowing the preys and predators of the Lotka-Volterra model with behavioral algorithms characterized by different levels of sophistication. The main finding is that by endowing both preys and predators with the capability of making predictions based on linear extrapolation a n...
