Co-evolving demes of non-uniform cellular automata for synchronisation

Vesselin K. Vassilev, J. Miller, T. Fogarty
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引用次数: 3

Abstract

Emergent computation refers to systems in which global information processing appears as a result of the interactions among many components, each of which may be a system that exhibits an ability for emergent computation at a different level of self-organisation. In this paper we employ a modification of cellular programming to evolve cellular machines for synchronisation. This allows global computation to occur by many local interactions among computational demes of interacting cells. The computational machine, derived from the non-uniform cellular automata model, consists of a grid of cells which are co-evolved in isolated demes. We describe experiments which show that demes can be co-evolved to perform non-trivial computation. We also analyse the mechanisms of computation within the different synchronising demes. Our results not only show that the co-evolution of demes is possible, but that they can attain high computational performance through co-operative action.
同步非均匀元胞自动机的协同进化模式
紧急计算指的是一个系统,在这个系统中,全局信息处理是许多组件之间相互作用的结果,每个组件都可能是一个系统,在不同的自组织水平上表现出紧急计算能力。在本文中,我们采用细胞编程的一种修改来进化细胞机器以实现同步。这使得全局计算可以通过相互作用的计算单元之间的许多局部相互作用来进行。该计算机器源自非均匀细胞自动机模型,由在孤立的模子中共同进化的细胞网格组成。我们描述的实验表明,demes可以共同进化来执行非平凡的计算。我们还分析了在不同的同步范围内的计算机制。我们的研究结果不仅表明deme的共同进化是可能的,而且它们可以通过合作行动获得高计算性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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