Random Boolean networks have been used widely to explore aspects of gene regulatory networks. A modified form of the model through which to systematically explore the effects of increasing the number of gene states has previously been introduced. In this paper, these discrete dynamical networks are coevolved within coupled, rugged fitness landscapes to explore their behaviour. Results suggest the general properties of the Boolean model remain with higher valued logic regardless of the update scheme or fitness sampling method. Introducing topological asymmetry in the coevolving networks is seen to alter behaviour.

翻译：随机布林网络被广泛用于探索基因监管网络的各个方面,以前已经采用了一种经过修改的模式形式,通过这种模式系统探索增加基因状态的影响。在本文中,这些离散的动态网络在结合的、坚固的健身环境中相互交织,以探索其行为。结果显示布林模式的一般特性仍然具有更高的价值逻辑,无论更新计划或健身抽样方法如何。在相联的网络中引入表层不对称现象被视为改变行为。