反应扩散计算中粒子近似的被动与主动方法

J. Jones
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引用次数: 16

摘要

反应扩散计算利用复杂的自组织系统底层的自催化和扩散相互作用来完成实际的计算任务——开发经典逻辑计算设备的变体,或问题表示和解决方案的直接空间体现。我们研究反应扩散计算的被动和主动方法的概念。无源方法利用前传播作为载波信号进行信息传输和计算。主动方法可以感知和修改底层载波信号的传播。利用化学波前系统中反应扩散行为的粒子近似,以及多头绒泡菌的疟原虫,我们证明了这两个概念之间的异同。我们提供了如何将这两种方法用于复杂的空间表示计算任务的示例。我们表明,主动方法导致二阶紧急行为,表现出复杂的准物理性质,如表观表面张力效应和网络最小化,这可能在未来的反应扩散计算设备的物理实现中具有实用性。[文章副本可于infosci-ondemand.com购买]
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passive vs Active Approaches in Particle Approximations of Reaction-Diffusion Computing
Reaction-diffusion computing utilises the complex auto-catalytic and diffusive interactions underlying self-organising systems for practical computing tasks – developing variants of classical logical computing devices, or direct spatial embodiments of problem representations and solutions. We investigate the concept of passive and active approaches to reaction-diffusion computing. Passive approaches use front propagation as a carrier signal for information transport and computation. Active approaches can both sense and modify the propagation of the underlying carrier signal. Using particle approximations of reaction-diffusion behaviours in chemical wavefront systems, and the plasmodium of Physarum polycephalum, we demonstrate the similarities and differences between the two concepts. We provide examples of how both methods can be used for complex spatially represented computational tasks. We show that the active approach results in second-order emergent behaviours, exhibiting complex quasi-physical properties such as apparent surface tension effects and network minimisation which may have utility in future physical implementations of reaction-diffusion computing devices. [Article copies are available for purchase from InfoSci-on-Demand.com]
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