论文标题
通过信号砖通过自我组装的通用形状复制
Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles
论文作者
论文摘要
在本文中,我们研究了一个基于瓷砖的自组装模型的形状组装功率,称为信号瓦装配模型(StAM)。在此模型中,通过“信号”的其他胶水的结合动作可以打开和关闭将瓷砖结合在一起的胶水。具体而言,我们研究的问题是“形状复制”,其中,给定一组任意形状的输入组件,系统必须构建一个任意数量的组件,具有相同的形状,除了由该过程产生的大小结合的垃圾组件外,没有其他。我们提供了第一个完全通用的形状复制结果,即能够在任何3维形状的任意集上执行形状复制,而无需在输入组件中进行任何缩放或预编码的信息。我们的结果要求输入组件由信号通信图块组成,这些图块可以停用胶水以允许对这些组件的解构,我们也必须证明这是必须证明的,证明没有一个形状的几何形状在没有解构的情况下就无法复制。此外,我们将构造模块化,以创建能够创建任意形状的二进制编码并从其编码中构建任意形状的系统。由于stam能够进行通用计算,因此,这允许使用形状编码作为输入,可以在Stam系统中运行任意程序,以便可以在形状上执行任何可计算的转换。
In this paper, we investigate shape-assembling power of a tile-based model of self-assembly called the Signal-Passing Tile Assembly Model (STAM). In this model, the glues that bind tiles together can be turned on and off by the binding actions of other glues via "signals". Specifically, the problem we investigate is "shape replication" wherein, given a set of input assemblies of arbitrary shape, a system must construct an arbitrary number of assemblies with the same shapes and, with the exception of size-bounded junk assemblies that result from the process, no others. We provide the first fully universal shape replication result, namely a single tile set capable of performing shape replication on arbitrary sets of any 3-dimensional shapes without requiring any scaling or pre-encoded information in the input assemblies. Our result requires the input assemblies to be composed of signal-passing tiles whose glues can be deactivated to allow deconstruction of those assemblies, which we also prove is necessary by showing that there are shapes whose geometry cannot be replicated without deconstruction. Additionally, we modularize our construction to create systems capable of creating binary encodings of arbitrary shapes, and building arbitrary shapes from their encodings. Because the STAM is capable of universal computation, this then allows for arbitrary programs to be run within an STAM system, using the shape encodings as input, so that any computable transformation can be performed on the shapes.