The NKCS model was introduced to explore coevolutionary systems, that is, systems in which multiple species are closely interconnected. The fitness landscapes of the species are coupled to a controllable amount, where the underlying properties of the individual landscapes are also controllable. Previous work has assumed symmetry with respect to the controlling parameters. This paper explores the effects of reducing that symmetry on the behaviour of the coevolutionary system, including varying genome complexity, the degree of landscape coupling, and the use of local learning. Significant changes in behaviour from the traditional model are seen across the parameter space. These findings are suggested as particularly pertinent to symbiotic relationships.

引入 NKCS 模型是为了探索共同进化系统，即多个物种紧密相连的系统。物种的适应性景观耦合到一个可控的数量，其中个体景观的潜在特性也是可控的。以前的工作假设关于控制参数是对称的。本文探讨了减少这种对称性对协同进化系统行为的影响，包括不同的基因组复杂性、景观耦合程度和本地学习的使用。在整个参数空间中都可以看到与传统模型相比，行为的显着变化。这些发现被认为与共生关系特别相关。