信息:从现实的认知感知探索到预测性大数据辅助的信息时代

IF 3.7 4区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Florin GAISEANU
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引用次数: 0

摘要

在本文中,信息不仅是一个有用的概念,用于通信系统和数据操作,而且还用于理解物质的非生命和生命结构。在此基础上,它描述了意识的信息模型和人体信息系统的功能和可操作性,允许定义和理解现实的认知-感知探索,这是我们的前辈用来创建一些古老的宇宙和人类模型的工具,从哲学的角度来看仍然是最新的参考,今天仍然在我们这个信息时代的创造性科学和艺术领域中运作。引入信息相关物质的概念,有可能解释人体和真核/原核细胞(生命的基本单位)中的信息过程,并表明在生物实体中,与人类相似的信息系统可以被识别和定义为生命结构的信息系统。认知感知探索现实的预测特性目前得到预测性大数据分析的辅助,有助于积累大量数据的各个科学领域,包括生物工程领域和人类健康,特别是用于预测全球COVID-19病例的演变,以罗马尼亚、西班牙和美国为例。提到了涉及人工智能和健康社会的人类和生命结构信息模型的多种应用,特别是在神经科学、生物科学和生物工程方面。强调了罗马尼亚信息概念的优先地位以及罗马尼亚信息科学在了解大脑功能/可操作性和生物医学领域应用方面的重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information: From Cognitive-Sentient Exploration of Reality to Predictive Big Data Assisted Informational Era
In this article it is shown that information is a concept not only useful and used for the communication systems and data operation, but also for the understanding of the matter non-living and living structuration. On this basis it is described the Informational Model of Consciousness and the functions and operability of the Informational System of the Human Body, allowing to define and understand the Cognitive-Sentient Exploration of Reality used as a tool by our predecessors to create some archaic models of the universe and human, remained up to date as references from philosophic point of view, and still operating nowadays in the creative sciences and arts fields in our informational era. Introducing the concept of information-related matter, it was possible to explain the informational processes in human body and eukaryotic/prokaryotic cells, the basic units of life, and to show that in the living entities an informational system operating similarly with that of the human can be identified and defined as Informational System of the Living Structures. The predictive properties of the Cognitive-Sentient Exploration of Reality is nowadays assisted by the predictive big data analysis, helping in various scientific domains where a high quantity of data was accumulated, including in the bioengineering field and human health, particularly for the prediction of the evolution of COVID-19 cases in the world, with examples for Romania, Spain and USA. Multiple applications involving artificial intelligence and the informational models of human and living structures for a healthy society are mentioned, in particular in neurosciences, biosciences and bioengineering. The priority of the Romanian concepts on information and the important contribution of the Romanian informational science oriented to understand the brain functions/operability and applications in biomedical field is highlighted.
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来源期刊
Romanian Journal of Information Science and Technology
Romanian Journal of Information Science and Technology 工程技术-计算机:理论方法
CiteScore
5.50
自引率
8.60%
发文量
0
审稿时长
>12 weeks
期刊介绍: The primary objective of this journal is the publication of original results of research in information science and technology. There is no restriction on the addressed topics, the only acceptance criterion being the originality and quality of the articles, proved by independent reviewers. Contributions to recently emerging areas are encouraged. Romanian Journal of Information Science and Technology (a publication of the Romanian Academy) is indexed and abstracted in the following Thomson Reuters products and information services: • Science Citation Index Expanded (also known as SciSearch®), • Journal Citation Reports/Science Edition.
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