关于人脑必须如何排列才能在思维机器中复制的一些考虑
Some considerations on how the human brain must be arranged in order to make its replication in a thinking machine possible
摘要：
在我生命的大部分时间里，我都是一名计算机视觉专业人员，忙于处理图像处理任务和问题。在计算机视觉界，人们普遍认为人工视觉系统忠实地复制了人类的视觉能力，或者至少非常接近地模仿了人类的视觉能力。当有一天我意识到计算机和人类视觉几乎没有任何共同之处时，我感到非常惊讶。前者忙于大量的数据处理，进行大量的基于像素的计算，而后者则忙于有意义的信息处理，涉及基于智能对象的操作。两者之间的差距是不可逾越的。为了解决这个困惑，我不得不首先返回并重新评估视觉现象本身，更仔细地定义什么是视觉信息以及如何正确对待它。在这部作品中，我并没有像人们通常认为的那样，受到生物学的启发。相反，我的灵感来自于一个纯数学理论，即柯尔莫哥洛夫的复杂性理论。我的研究成果已经在其他地方发表了。因此，本文的目的是尝试将我在这项事业中获得的见解应用于人脑信息处理的更一般情况和人类智能的挑战性问题。
英文摘要：
For the most of my life, I have earned my living as a computer vision professional busy with image processing tasks and problems. In the computer vision community there is a widespread belief that artificial vision systems faithfully replicate human vision abilities or at least very closely mimic them. It was a great surprise to me when one day I have realized that computer and human vision have next to nothing in common. The former is occupied with extensive data processing, carrying out massive pixel-based calculations, while the latter is busy with meaningful information processing, concerned with smart objects-based manipulations. And the gap between the two is insurmountable. To resolve this confusion, I had had to return and revaluate first the vision phenomenon itself, define more carefully what visual information is and how to treat it properly. In this work I have not been, as it is usually accepted, biologically inspired . On the contrary, I have drawn my inspirations from a pure mathematical theory, the Kolmogorov s complexity theory. The results of my work have been already published elsewhere. So the objective of this paper is to try and apply the insights gained in course of this my enterprise to a more general case of information processing in human brain and the challenging issue of human intelligence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
