Epigenetic Information-Body Interaction and Information-Assisted Evolution from the Perspective of the Informational Model of Consciousness

F. Găiseanu
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引用次数: 16

Abstract

In a series of recently published papers it was shown that the informational system of the human organism operates by means of seven components referring to memory, decisional operability, emotional reaction, autonomic driving of the metabolic processes, genetic transmission and genetic info-generation [1-3]. A special component explains some extra-power properties of the mind, revealed during the near-death experiences [4, 5] and other similar phenomena [6-8]. Such an informational architecture of the human informational system permits to approach the analysis of the interaction between the received information from the environment and conclusions on the adaptation process of the organism [3,9]. This analysis is supported also by the increasing epigenetic studies [10-12], showing that some acquired traits during the life can be transmitted to the offspring by means of embodiment/disembodiment mechanisms of information [3]. The progress obtained in this field is an encouraging stimulant to approach also the evolution process due to the adaptation to changes of the environmental conditions [13]. Therefore, in this paper it is presented first of all an analysis of the epigenetic processes and the typical steps of such mechanisms. In a second section there are presented the results concerning the information*Corresponding author: Florin Gaiseanu, Principal Senior Researcher (Professor), Science of Information and Technology Bucharest (Romania), and Barcelona (Spain). Received Date: June 28, 2019 Published Date: July 09, 2019 ISSN: 2687-8100 DOI: 10.33552/ABEB.2019.02.000532
从意识的信息模型看表生信息体互动与信息辅助进化
在最近发表的一系列论文中,研究表明,人类有机体的信息系统通过七个组成部分运行,即记忆、决策可操作性、情绪反应、代谢过程的自主驱动、遗传传递和遗传信息生成[1-3]。一个特殊的组成部分解释了在濒死体验[4,5]和其他类似现象[6-8]中揭示的心理的一些额外力量特性。人类信息系统的这种信息架构允许分析从环境中接收的信息与生物体适应过程的结论之间的相互作用[3,9]。这一分析也得到了越来越多的表观遗传学研究[10-12]的支持,这些研究表明,在生命中获得的一些特征可以通过信息的具体/非具体机制传递给后代[3]。在这一领域取得的进展是一个令人鼓舞的激励因素,也可以通过适应环境条件的变化来接近进化过程[13]。因此,本文首先分析了表观遗传学过程和这些机制的典型步骤。在第二节中,介绍了有关信息的结果*通讯作者:Florin Gaiseanu,布加勒斯特(罗马尼亚)和巴塞罗那(西班牙)信息和技术科学首席高级研究员(教授)。接收日期:2019年6月28日发布日期:2019月9日ISSN:2687-8100 DOI:10.33552/ABEB.2019.02.000532
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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