A Computational Scheme Based on Random Boolean Networks
A Computational Scheme Based on Random Boolean Networks
复制标题
一种基于随机布尔网络的计算方案
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
H. Tenhunen
中科院分区：
文献类型：
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作者：
E. Dubrova;M. Teslenko;H. Tenhunen
几十年来，硅CMOS晶体管的尺寸一直在稳步减小，而性能却在不断提高。随着设备接近其物理极限，对替代材料、结构和计算方案的需求变得明显。本文提出了一种基于随机布尔网络的基因调控网络抽象模型的计算方案。我们对随机布尔网络的兴趣是由于其吸引人的容错特性。可以调整网络的参数，使其表现出健壮的行为，在这种行为中，网络连接、状态变量值或相关函数的最小变化通常不会导致网络动态变化。对于难以控制生长方向或精确排列的新兴技术，例如碳纳米管，基于随机网络的计算方案似乎也很有吸引力。
For decades, the size of silicon CMOS transistors has decreased steadily while their performance has improved. As the devices approach their physical limits, the need for alternative materials, structures and computation schemes becomes evident. This paper considers a computation scheme based on an abstract model of gene regulatory networks called random Boolean networks. Our interest in random Boolean networks is due to their attractive fault-tolerant features. The parameters of a network can be tuned so that it exhibits a robust behavior in which minimal changes in networkpsilas connections, values of state variables, or associated functions, typically cause no variation in the networkpsilas dynamics. A computation scheme based on random networks also seems to be appealing for emerging technologies in which it is difficult to control the growth direction or precise alignment, e.g. carbon nanotubes.