通用的时间箭头V-VI：（第五部分）不可预测的动态（第VI部分）人工智能的未来-艺术，而不是科学：不可预测系统的实际应用
The Universal Arrow of Time V-VI: (Part V) Unpredictable dynamics (Part VI) Future of artificial intelligence - Art, not Science: Practical Application of Unpredictable Systems
摘要：
本文由两篇独立的论文组成：（第五部分）我们看到量子力学和经典力学的精确方程描述了理想动力学，它是可逆的，并导致庞加莱的回报。描述可观测动力学的真实物理方程，例如粘性流体的流体动力学方程，是不可逆的，并且排除了庞加莱返回到初始状态。此外，这些方程描述系统的宏观参数或相分布函数的微观参数。对于许多系统的宏观参数，允许详尽的描述系统的动态介绍是不可能的。它们的动态在原则上变得不可预测，有时甚至以概率的方式不可预测。我们将把描述这种系统的动力学称为不可预测的动力学。不可预测系统的动力学无法用科学方法描述和预测。因此，科学本身为其适用性设定了界限。但这样的系统可以直观地“理解自己”和“预测”的行为“自己”，甚至“相互沟通”在直观的水平。(Part第六，人工智能（AI）的未来前景。这表明，未来人工智能的发展将更接近艺术而不是科学。原则上无法完全理解其行为的复杂耗散系统将成为人工智能的基础。然而，这不会成为其实际使用的障碍。
英文摘要：
The paper consists of the two independent papers:(Part V) We see that exact equations of quantum and classical mechanics describe ideal dynamics which is reversible and leads to Poincare's returns. Real equations of physics describing observable dynamics, for example, hydrodynamic equations of viscous fluid, are irreversible and exclude Poincare's returns to the initial state. Besides, these equations describe systems in terms of macroparameters or phase distribution functions of microparameters. For many systems introduction of macroparameters that allow exhaustive describing of dynamics of the system is impossible. Their dynamics becomes unpredictable in principle, sometimes even unpredictable by the probabilistic way. We will refer to dynamics describing such system as unpredictable dynamics. Dynamics of unpredictable systems is not described and not predicted by scientific methods. Thus, the science itself puts boundaries for its applicability. But such systems can intuitively "understand itself" and "predict" the behavior "of its own" or even "communicate with each other" at intuitive level. (Part VI) Perspective of the future of artificial intellect (AI) is considered. It is shown that AI development in the future will be closer rather to art than to science. Complex dissipative systems whose behavior cannot be understood completely in principle will be the basis of AI. Nevertheless, it will not be a barrier for their practical use.
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。
