复杂性哲学视域下对大数据两个问题的讨论
发布时间:2018-08-11 11:48
【摘要】:目前进入的大数据时代的特征,可以追溯到人们对数、算法与计算的理念。这种坚定信念的历史源远流长,但它真正转变为现实得益于计算机的出现,以及由计算机与网络技术组成的云计算平台。元胞自动机理论是研究复杂系统的理论框架,它的工作机理说明了世界是从简单到复杂从而产生突现的过程,这不仅显示了大数据的生成过程,同时反过来也表明从大数据的分析研究中可以得出复杂系统的简单的运行规则。具有多种复杂特征的复杂网络是计算机、云计算、元胞自动机的综合体,它是生成大数据的终端。
[Abstract]:The characteristics of the big data era can be traced back to the concept of logarithms, algorithms and computations. This firm belief has a long history, but it is truly transformed into reality thanks to the emergence of computers and cloud computing platforms made up of computer and network technologies. Cellular automata theory is a theoretical framework for studying complex systems. Its working mechanism shows that the world is a process from simplicity to complexity, which not only shows the process of big data generation. In turn, it also shows that the simple operation rules of complex systems can be obtained from the analysis and research of big data. The complex network with many complex features is the synthesis of computer, cloud computing and cellular automata, which is the terminal to generate big data.
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本文编号:2176912
[Abstract]:The characteristics of the big data era can be traced back to the concept of logarithms, algorithms and computations. This firm belief has a long history, but it is truly transformed into reality thanks to the emergence of computers and cloud computing platforms made up of computer and network technologies. Cellular automata theory is a theoretical framework for studying complex systems. Its working mechanism shows that the world is a process from simplicity to complexity, which not only shows the process of big data generation. In turn, it also shows that the simple operation rules of complex systems can be obtained from the analysis and research of big data. The complex network with many complex features is the synthesis of computer, cloud computing and cellular automata, which is the terminal to generate big data.
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本文编号:2176912
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