【摘要】 典型的元胞自动机是按照一套确定的规则自主地随时间演进的,因此当系统环境改变时就需要由人工进行静态的调整、修正,效率低、对环境的适应能力差,这是制约元胞自动机应用的主要原因之一.本文针对二维元胞自动机提出了规则免疫学习的方法,实现了规则的自适应调节.实验表明,在简单情况下二维元胞自动机的规则获得了一定的环境适应能力.更多还原

【Abstract】 A typical cellular automata runs with a set of deterministic rules. However in case of the environment change there is a need of rule adjustment. The paper implements an immunity-based learning method for the rule adjustment of 2d cellular automata. The experiment shows that the rule would adapt itself to some environment change.更多还原