Two coherent definitions of the life process derived from the half-chaos theory and the (unintentional) purposeful information theory

IF 1.9 4区 生物学 Q2 BIOLOGY
Andrzej Gecow
{"title":"Two coherent definitions of the life process derived from the half-chaos theory and the (unintentional) purposeful information theory","authors":"Andrzej Gecow","doi":"10.1016/j.biosystems.2025.105533","DOIUrl":null,"url":null,"abstract":"<div><div>Most attempts to define life to date have consisted in indicating several features that, according to the author of the definition, occur in all cases that he considers life. Such an analytical path should have existed at the beginning. To this day, we do not have a \"good\" definition from which as many observed features of life result as possible. The derivation of specific features from the definition and additional assumptions is the structure of a deductive theory, which primarily explains and allows for understanding. The initial proposal for the framework of such a theory is presented in the book \"Draft of the Deductive Theory of Life\". There two coherent definitions of life are derived from ordered foundations - the half-chaos theory and unintentional purposeful information theory built for this task. These definitions can be classified as Darwinian. Both of these theories offer new perspectives on the issues described, and are briefly described in the article. Without these theories, the formulations of the given definitions are incomprehensible. Also, without deeper arguments that can be found in the book, the scope of the derived features of the life process and their place in the structure of the proposed theory is shown.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"256 ","pages":"Article 105533"},"PeriodicalIF":1.9000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264725001431","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Most attempts to define life to date have consisted in indicating several features that, according to the author of the definition, occur in all cases that he considers life. Such an analytical path should have existed at the beginning. To this day, we do not have a "good" definition from which as many observed features of life result as possible. The derivation of specific features from the definition and additional assumptions is the structure of a deductive theory, which primarily explains and allows for understanding. The initial proposal for the framework of such a theory is presented in the book "Draft of the Deductive Theory of Life". There two coherent definitions of life are derived from ordered foundations - the half-chaos theory and unintentional purposeful information theory built for this task. These definitions can be classified as Darwinian. Both of these theories offer new perspectives on the issues described, and are briefly described in the article. Without these theories, the formulations of the given definitions are incomprehensible. Also, without deeper arguments that can be found in the book, the scope of the derived features of the life process and their place in the structure of the proposed theory is shown.
半混沌理论和(无意的)目的信息论对生命过程的两个连贯定义。
迄今为止,大多数给生命下定义的尝试都是指出几个特征,根据定义的作者,这些特征在他认为生命的所有情况下都会出现。这样的分析路径一开始就应该存在。直到今天,我们还没有一个“好的”定义,能够尽可能多地从这个定义中得出我们所观察到的生命特征。从定义和附加假设中推导出特定特征是演绎理论的结构,它主要是解释和允许理解。这种理论框架的初步建议在《生命演绎理论草案》一书中提出。有两种连贯的生命定义是在有序的基础上衍生出来的——半混沌理论和无意的有目的的信息理论。这些定义可以归为达尔文主义。这两种理论都为所描述的问题提供了新的视角,并在文章中进行了简要描述。没有这些理论,给定的定义的表述是无法理解的。此外,在书中没有更深层次的论证,生命过程的衍生特征的范围及其在提出的理论结构中的地位被显示出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信