论文标题
随机蜂窝自动机的亲和力分类问题
Affinity Classification Problem by Stochastic Cellular Automata
论文作者
论文摘要
这项工作引入了一个新问题,称为“亲和力分类问题”,这是密度分类问题的概括。为了解决这个问题,我们引入了时间随机的细胞自动机,其中在自动机的所有单元上的每个步骤中随机应用了两个规则。我们的模型是根据具有感情能力的二维网格定义的。我们表明,该模型可用于多种应用,例如建模自我修复系统。
This work introduces a new problem, named as, affinity classification problem which is a generalization of the density classification problem. To solve this problem, we introduce temporally stochastic cellular automata where two rules are stochastically applied in each step on all cells of the automata. Our model is defined on 2-dimensional grid having affection capability. We show that this model can be used in several applications like modeling self-healing systems.