同步逻辑节奏

John M. Myers, Hadi Madrid
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引用次数: 0

摘要

二十年前量子理论中的一个证明,引发了物理学、生物学、图论和科学哲学等领域相互关联的发展。该证明表明,要将物理证据与任何理论解释联系起来,除了逻辑之外,还需要有不可磨灭的猜测。在物理学和生物学中,承认猜测揭示了一种同步性,这种同步性存在于数字计算机硬件中,但在理论物理学中却被忽视了,它对物理学中时间和距离概念的生物学基础产生了影响。通过驳斥 "物理 "意味着 "最终完全可以解释 "的假设,该证明激发了人们对实验实践的重新关注。在现代科学的实践中,数字计算和通信普遍依赖于物理上不同的条件和它们之间的转换。组织这些条件和转换取决于一种不同于物理学中常见的同步形式。正如本文所示,这种逻辑同步:(1)对计算和数字通信网络至关重要;(2)需要猜测来维护,无论是直接维护还是设计自动维护。通过对数字硬件进行抽象,我们将人类思维建模为逻辑同步计算,其间会出现不可预见的变化。无论是电子计算还是生物体内的计算,我们都采用标记图来加深对计算的理解。标记图揭示了空间和时间导航的逻辑下层结构,其影响涉及整个物理学及其在其他科学中的应用。通过将我们的模型局限于通信和计算的逻辑方面--撇开能量、重量、形状等因素--我们揭示了不仅适用于物理学,也适用于其他科学的逻辑结构。-- 我们揭示的逻辑结构不仅适用于电子学,也适用于生物体的运作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synchronizing Rhythms of Logic
A proof in quantum theory made twenty years ago prompts interrelated developments in physics, biology, graph theory, and the philosophy of science. The proof shows an ineradicable need for guesswork, beyond logic, to link physical evidence to any theoretical explanation. In physics and in biology, recognizing guesswork reveals a kind of synchronization, found in digital computer hardware but overlooked in theoretical physics, with implications for a biological basis to the concepts of time and distance in physics. By refuting the assumption that "physical" implies "eventually entirely explicable," the proof inspires renewed attention to experimental practice. Pervasive in the practice of modern science, digital computation and communications depends on physically distinct conditions and transitions among them. Organizing these conditions and transitions depends on a form of synchronization unlike that usual in physics. As shown here, this logical synchronization: (1) is essential to computing and digital communications networks, and (2) requires guesswork for its maintenance, whether directly or in the design of automated maintenance. By abstracting digital hardware, we model human thinking as logically synchronized computation, punctuated by unforeseeable changes. We adapt marked graphs to sharpen understandings of computation, whether it is electronic or takes place in living organisms. The marked graphs reveal a logical substructure to spatial and temporal navigation, with implications across physics and its applications to other sciences. By limiting our model to thelogical aspect of communications and computations -- leaving out energy, weight, shape, etc. -- we reveal logical structure applicable not just in electronics but also to the functioning of living organisms.
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