论遗忘机器人的计算能力:形成一系列几何图案

S. Das, P. Flocchini, N. Santoro, M. Yamashita
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引用次数: 53

摘要

我们研究了一个由在平面上运动的简单自主机器人组成的分布式系统的计算能力。这些机器人被赋予了视觉感知,但彼此之间没有任何明确的交流方式,也没有过去的记忆。在大量的文献中,已经展示了这些简单的机器人如何形成一个单一的几何图案(例如,一条线,一个圆等),尽管它们是随意的,但它们是多么的健忘。这就引出了一个自然研究问题:机器人被遗忘的真正计算极限是什么?特别是,由于遗忘限制了可以记住的东西,那么遗忘机器人在什么条件下可以形成一系列几何图案呢?注意,一系列模式将在一个没有内存的系统中创建某种形式的内存。在本文中,我们研究并回答了这个问题,表明在特定条件下,遗忘机器人系统确实可以从任意配置开始形成一系列几何图案。更准确地说,我们研究了机器人系统在匿名、异步和缺乏共同方向等各种限制下可以形成的一系列模式。这些结果首次有力地表明,对于直觉上似乎需要记忆的任务,也可能获得遗忘解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the computational power of oblivious robots: forming a series of geometric patterns
We study the computational power of a distributed system consisting of simple autonomous robots moving on the plane. The robots are endowed with visual perception but do not have any means of explicit communication with each other, and have no memory of the past. In the extensive literature it has been shown how such simple robots can form a single geometric pattern (e.g., a line, a circle, etc), however arbitrary, in spite of their obliviousness. This brings to the front the natural research question: what are the real computational limits imposed by the robots being oblivious? In particular, since obliviousness limits what can be remembered, under what conditions can oblivious robots form a series of geometric patterns? Notice that a series of patterns would create some form of memory in an otherwise memory-less system. In this paper we examine and answer this question showing that, under particular conditions, oblivious robot systems can indeed form series of geometric patterns starting from any arbitrary configuration. More precisely, we study the series of patterns that can be formed by robot systems under various restrictions such as anonymity, asynchrony and lack of common orientation. These results are the first strong indication that oblivious solutions may be obtained also for tasks that intuitively seem to require memory.
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