论文标题
具有人工智能的有限时间技术奇异性模型自我完善
A Finite-Time Technological Singularity Model With Artificial Intelligence Self-Improvement
论文作者
论文摘要
人工智能发展,技术进步加速,宏观经济动态的长期趋势的最新进展增加了技术奇异性假设的相关性。在本文中,我们构建了一个有限时间的技术奇异性模型,假设人工智能将在足够的时间点之后取代人工智能工程师的人类。该模型意味着以下内容:让A成为人工智能的发展水平。然后,技术奇异性n的时刻被定义为人工智能发展函数无穷大的时间点。因此,它在有限的时间内发生。尽管实际上无法实现无限的人工智能发展水平,但由于几个原因,这种近似值很有用,首先是因为它允许对相位过渡或政权变化进行建模。在模型中,在我们列出和比较的相对较广的条件下,智能增长函数似乎是双曲线功能。随后,我们还向模型添加了一个随机项(布朗运动),并研究其行为的变化。结果可以应用于以乘法生长为特征的各种过程的动力学建模。
Recent advances in the development of artificial intelligence, technological progress acceleration, long-term trends of macroeconomic dynamics increase the relevance of technological singularity hypothesis. In this paper, we build a model of finite-time technological singularity assuming that artificial intelligence will replace humans for artificial intelligence engineers after some point in time when it is developed enough. This model implies the following: let A be the level of development of artificial intelligence. Then, the moment of technological singularity n is defined as the point in time where artificial intelligence development function approaches infinity. Thus, it happens in finite time. Although infinite level of development of artificial intelligence cannot be reached practically, this approximation is useful for several reasons, firstly because it allows modeling a phase transition or a change of regime. In the model, intelligence growth function appears to be hyperbolic function under relatively broad conditions which we list and compare. Subsequently, we also add a stochastic term (Brownian motion) to the model and investigate the changes in its behavior. The results can be applied for the modeling of dynamics of various processes characterized by multiplicative growth.