Cultural life: Theory and empirical testing

IF 1.2 Q3 Computer Science
D. Baciu
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引用次数: 5

Abstract

"What is life?" and Erwin Schrödinger's answer, "negative entropy", inspired researchers in the 20th century to unite physics, chemistry, and physiology into a new synthesis that many believe to be an important foundation for life science today. Decades after Schrödinger, life scientists are still fascinated by the riddle that entropy can only accumulate in physical systems, which often leads to biological deterioration and death, but life finds ways to persist and prevail. So to say, life "negates" entropy. Can this fascination and research concept be broadened even further to human culture? Short after Schrödinger's publication, Claude Shannon coined the term "information entropy." Information entropy accumulates when noise interferes during communication. Eventually, all useful information is lost. Yet, from this observation, something surprising can be inferred. Not only biological life but also cultural life has the ability to persist and prevail in spite of the accumulation of entropy. Does this insight mean that cultural life also negates entropy, in Schrödinger's sense? These questions guided me over several years of research during which I developed and tested a new theory of culture based on variation-selection processes and homeostatic regulation. My contribution is to discover that these two processes not only explain how biological systems negate entropy. They also explain some of the most important phenomena of cultural life: returning fashions, polarization, diversification, cycles of growth and reform, and the formation of common ethos across entire bodies of knowledge. With access to big data and supercomputing, I tested my theory against hundreds of thousands of news, magazine articles, books, and TV transcripts as well as textual content collected from the social media. Historical, institutional, and geographical information was extracted from these data using a new method; and new interactive tools were created to interpret the results. What should not be missed when reading this article is that the theory proposed here reveals a striking equivalence between nature and culture. This article states this equivalence in mathematical terms, and contextualizes it in the history of science. The mathematical breakthrough is relevant because it aligns the humanities to science while also allowing for live evaluation of what I call "cultural diversification cycles."
文化生活:理论与实证检验
“生命是什么?”和Erwin Schrödinger的答案“负熵”,启发了20世纪的研究人员将物理学、化学和生理学结合成一个新的综合,许多人认为这是今天生命科学的重要基础。在Schrödinger诞生几十年后,生命科学家仍然着迷于一个谜题,即熵只能在物理系统中积累,这通常会导致生物退化和死亡,但生命总能找到生存和胜利的方法。也就是说,生命“否定”了熵。这种迷恋和研究概念能否进一步扩展到人类文化中?在Schrödinger发表后不久,克劳德·香农创造了“信息熵”这个术语。当通信过程中受到噪声干扰时,信息熵就会累积。最终,所有有用的信息都丢失了。然而,从这一观察中,我们可以推断出一些令人惊讶的事情。不仅是生物生命,文化生命也有能力在熵积累的情况下持续存在并占上风。这种见解是否意味着文化生活也否定了Schrödinger意义上的熵?这些问题引导我进行了几年的研究,在此期间,我发展并测试了一种基于变异选择过程和稳态调节的新的文化理论。我的贡献在于发现这两个过程不仅解释了生物系统如何抵消熵。它们还解释了文化生活中一些最重要的现象:回归的时尚、两极分化、多样化、增长和改革的周期,以及贯穿整个知识体系的共同精神的形成。有了大数据和超级计算机,我用数十万篇新闻、杂志文章、书籍、电视文本以及从社交媒体上收集的文本内容来测试我的理论。使用一种新方法从这些数据中提取历史、制度和地理信息;并且创造了新的交互式工具来解释结果。在阅读这篇文章时,不应该错过的是,这里提出的理论揭示了自然与文化之间惊人的对等关系。本文用数学术语阐述了这种等价性,并将其置于科学史的背景中。数学上的突破是相关的,因为它将人文科学与科学结合起来,同时也允许对我所谓的“文化多样化周期”进行实时评估。
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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来源期刊
Bio-Algorithms and Med-Systems
Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
3.80
自引率
0.00%
发文量
3
期刊介绍: The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.
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