Intrinsic Universality of Causal Graph Dynamics

S. Martiel, Bruno Martin
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引用次数: 7

Abstract

Causal graph dynamics are transformations over graphs that capture two important symmetries of physics, namely causality and homogeneity. They can be equivalently defined as continuous and translation invariant transformations or functions induced by a local rule applied simultaneously on every vertex of the graph. Intrinsic universality is the ability of an instance of a model to simulate every other instance of the model while preserving the structure of the computation at every step of the simulation. In this work we present the construction of a family of intrinsically universal instances of causal graphs dynamics, each instance being able to simulate a subset of instances.
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因果图动力学的内在普遍性
因果图动力学是对捕获物理学中两个重要对称性的图的转换,即因果性和同质性。它们可以等价地定义为由同时作用于图的每个顶点的局部规则诱导的连续和平移不变变换或函数。内在通用性是指一个模型的实例能够模拟该模型的所有其他实例,同时在模拟的每个步骤中保持计算结构的能力。在这项工作中,我们提出了一组内在普遍的因果图动态实例的构造,每个实例能够模拟实例的一个子集。
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