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Can Adam Smith’s Invisible Hand phenomenon be used for the analysis of Fourth Estate’s impact and behavior?

机译:亚当·史密斯(Adam Smith)的“看不见的手”现象可以用于分析“第四庄园”的影响和行为吗?

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Paper presents research conducted in order to understand why neural networks from Evolution point of view are developing in such a strange way. When observing development of species, development of consistent neural network is always stopped on certain level and is continued as development of distributed, cooperating neural networks. Such networks are organized into social structures. Adam Smith’s Invisible Hand (ASIH) phenomena emerges here as key factor to understand this. ASIH is perceived here as meta-computational process on platform of local neural networks, hosted by agents. ASIH theoretically is able to provide self-regulation for social structures, better than any centralized structure (dictator, government, authority) can do. Contrary to deterministic computational processes in today’s digital computers, the computational processes that are behind Invisible Hand are: unconscious, nondeterministic, multithread, chaotic and non-continuous. This research methodology has provided astonishing results:•Understanding of Elementary Invisible Hand, which is ruling so efficiently anthill. On this basis Artificial Invisible Hand can be derived to provide self-control of teams of AI mobile robots for situations when human-supervisor cannot assist them or management is too complicated;•Invisible Hand applied to problem of understanding the Fourth (4th) Estate allowed, for the first time, to point to very clear, well visible real (not abstract) case of Invisible Hand;•The 4th Estate on the platform of modern electronic media (MEM) emerges as a new worldwide governing superpower.
机译:本文介绍了进行研究的目的,以便理解为什么从进化的角度来看神经网络以这种奇怪的方式发展。当观察物种的发展时,一致性神经网络的发展总是在一定水平上停止,并随着分布式协作神经网络的发展而继续发展。这样的网络被组织成社会结构。亚当·斯密(Adam Smith)的“看不见的手”(ASIH)现象在这里成为理解这一现象的关键因素。在这里,ASIH被认为是由代理托管的本地神经网络平台上的元计算过程。从理论上说,ASIH能够提供对社会结构的自我调节,这比任何集中式结构(独裁者,政府,权力机构)所能提供的更好。与当今的数字计算机中的确定性计算过程相反,“看不见的手”背后的计算过程是:无意识,不确定性,多线程,混乱和不连续。这种研究方法提供了令人惊讶的结果:•对基本无形之手的理解,该法则如此有效地解决了蚁丘问题。在此基础上,可以得出人工无形手,以在人类主管无法协助他们或管理过于复杂的情况下提供对AI移动机器人团队的自我控制;•无形手用于理解第四部分的问题(4 )遗产首次允许指向非常清晰,可见的真实(非抽象)“看不见的手”案例;•第4条 现代电子媒体(MEM)平台上的房地产逐渐成为一种新的全球统治超级大国。

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