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Explorable Families of Graphs

机译:易诺的图形系列

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Graph exploration is one of the fundamental tasks performed by a mobile agent in a graph. An n-node graph has unlabeled nodes, and all ports at any node of degree d are arbitrarily numbered 0,..., d - 1. A mobile agent, initially situated at some starting node v, has to visit all nodes of the graph and stop. In the absence of any initial knowledge of the graph the task of deterministic exploration is often impossible. On the other hand, for some families of graphs it is possible to design deterministic exploration algorithms working for any graph of the family. We call such families of graphs explorable. Examples of explorable families are all finite families of graphs, as well as the family of all trees. In this paper we study the problem of which families of graphs are explorable. We characterize all such families, and then ask the question whether there exists a universal deterministic algorithm that, given an explorable family of graphs, explores any graph of this family, without knowing which graph of the family is being explored. The answer to this question turns out to depend on how the explorable family is given to the hypothetical universal algorithm. If the algorithm can get the answer to any yes/no question about the family, then such a universal algorithm can be constructed. If, on the other hand, the algorithm can be only given an algorithmic description of the input explorable family, then such a universal deterministic algorithm does not exist.
机译:图形探索是由图形中的移动代理执行的基本任务之一。 N节点图具有未标记的节点,D度D的任何节点的所有端口都是任意编号0,...,D - 1.一个移动代理,最初位于一些起始节点V,必须访问所有节点图形和停止。在没有任何初步知识的图表的情况下,确定性探索的任务通常是不可能的。另一方面,对于一些图形的家庭,可以设计为家庭的任何图表设计的确定性探索算法。我们称之为易善的图形。可探索家庭的例子是所有有限的图形系列,以及所有树木的家庭。在本文中,我们研究了图形的家庭是易商的问题。我们描述了所有这些家庭,然后询问问题是否存在通用的确定性算法,鉴于一个可扩展的图形,探讨了这个家庭的任何图,而不知道正在探索哪个家庭的图表。此问题的答案结果取决于探索的家庭是如何给予假设的通用算法的答案。如果算法可以将答案达到任何关于家庭的任何是/毫无问题,则可以构建这种通用算法。另一方面,如果算法只有给出输入可扩展系列的算法描述,则这种通用确定性算法不存在。

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