人工生命与物理衬底上的突现计算
On Artificial Life and Emergent Computation in Physical Substrates
摘要：
在生命系统中，我们经常看到计算所必需的成分的出现-信息传输，存储和修改的能力-回避了我们如何在非常规计算应用中利用或模仿这种生物系统的问题。在计算技术的进步中，我们可以从人工生命中获得什么？人工生命为我们提供了强大的工具来理解生物系统的动态行为，并在人造基质中捕获这种行为。通过这种方法，我们可以走向一个新的计算范式，该范式涉及在不受摩尔定律约束的物理基底中利用涌现计算，并最终实现大规模并行和分布式计算技术。在本文中，我们认为，人工生命的镜头提供了宝贵的前景，高性能计算技术的进步。我们首先提出了一个简短的人工生命和一些相关的工具，可能适用于非常规计算的基础背景。两个具体的基板，然后详细讨论：生物神经元和合奏的纳米磁体。这些基质是作者正在进行的工作的重点，它们说明了这里概述的方法的两个方面-对生命系统的仔细研究和人工系统的构建以产生类似生命的行为。最后，我们对我们可以从接近计算与人工生命的研究固有的好奇心，我们可以学到什么哲学讨论。本文的主要贡献是提出了巨大的潜力，使用人工生命的方法来发现和利用固有的计算能力的物理基板在非常规的高性能计算的应用。
英文摘要：
In living systems, we often see the emergence of the ingredients necessary for computation -- the capacity for information transmission, storage, and modification -- begging the question of how we may exploit or imitate such biological systems in unconventional computing applications. What can we gain from artificial life in the advancement of computing technology? Artificial life provides us with powerful tools for understanding the dynamic behavior of biological systems and capturing this behavior in manmade substrates. With this approach, we can move towards a new computing paradigm concerned with harnessing emergent computation in physical substrates not governed by the constraints of Moore's law and ultimately realize massively parallel and distributed computing technology. In this paper, we argue that the lens of artificial life offers valuable perspectives for the advancement of high-performance computing technology. We first present a brief foundational background on artificial life and some relevant tools that may be applicable to unconventional computing. Two specific substrates are then discussed in detail: biological neurons and ensembles of nanomagnets. These substrates are the focus of the authors' ongoing work, and they are illustrative of the two sides of the approach outlined here -- the close study of living systems and the construction of artificial systems to produce life-like behaviors. We conclude with a philosophical discussion on what we can learn from approaching computation with the curiosity inherent to the study of artificial life. The main contribution of this paper is to present the great potential of using artificial life methodologies to uncover and harness the inherent computational power of physical substrates toward applications in unconventional high-performance computing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
