Why do we need to Introduce Temporal Behavior in Both Modern Science and Modern Computing, with an Outlook to Researching Modern Effects/Materials and Technologies

J. Végh
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引用次数: 1

Abstract

Classic science seemed to be completed more than a century ago, facing only a few (but growing number of!) unexplained issues. Introducing time-dependence into classic science explained those issues, and its consequent use led to the birth of a series of modern sciences, including relativistic and quantum physics. Classic computing is based on the paradigm proposed by von Neumann for vacuum tubes only, which seems to be completed in the same sense. Von Neumann warned, however, that implementing computers under more advanced technological conditions, using the paradigm without considering the transfer time (and especially attempting to imitate neural operation), would be unsound. However, classic computing science persists in neglecting the transfer time and is facing a few (but growing number of!) unexplained issues, and its development stalled in most of its fields. Introducing time-dependence into the classic computing science explains those issues and discovers the reasons for its experienced stalling. It can lead to a revolution in computing, resulting in a modern computing science, in the same way, as it resulted in modern science's birth.
为什么我们需要在现代科学和现代计算中引入时间行为,并展望研究现代效果/材料和技术
经典科学似乎在一个多世纪前就完成了,只面临少数(但越来越多!)无法解释的问题。将时间依赖性引入经典科学解释了这些问题,随后的使用导致了一系列现代科学的诞生,包括相对论和量子物理学。经典计算是基于冯·诺伊曼提出的仅用于真空管的范式,这似乎是在同样的意义上完成的。然而,冯·诺伊曼警告说,在更先进的技术条件下实现计算机,使用范式而不考虑传递时间(尤其是试图模仿神经操作),将是不合理的。然而,经典计算科学仍然忽视了传输时间,面临着一些(但越来越多的)无法解释的问题,其发展在大多数领域停滞不前。将时间依赖性引入经典计算科学,解释了这些问题,并发现了其经历失速的原因。它可以导致计算的革命,产生现代计算科学,就像它导致现代科学的诞生一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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