{"title":"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。","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":"{\"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}","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}
Two coherent definitions of the life process derived from the half-chaos theory and the (unintentional) purposeful information theory
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.
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.