论文标题
自主人工智能中艺术状况的审查
Review of the state of the art in autonomous artificial intelligence
论文作者
论文摘要
本文根据最新的算法介绍了一种针对自动人工智能（AI）（AI）的新设计，并描述了一种称为AUTOAI的新自动ai系统。该方法用于组装建立在使用新的和新兴数据源（NEFD）的自我改进算法上的设计。本文的目的是概念化新型自动算法的设计。概念方法用于促进新的和改进的算法。该文章将现有文献的发现集成和巩固，并使用新的和新兴的数据来源将AutoAI设计推广到（1）中，用于教学和培训AI算法，以及（2）启用AI算法来使用自动化工具来培训新的和改进的算法。这种方法超越了AI算法的最新方法，并提出了一种使自主算法能够自我优势和自适应的设计，并且在更高的层次上可以自我冷漠。
This article presents a new design for autonomous artificial intelligence (AI), based on the state-of-the-art algorithms, and describes a new autonomous AI system called AutoAI. The methodology is used to assemble the design founded on self-improved algorithms that use new and emerging sources of data (NEFD). The objective of the article is to conceptualise the design of a novel AutoAI algorithm. The conceptual approach is used to advance into building new and improved algorithms. The article integrates and consolidates the findings from existing literature and advances the AutoAI design into (1) using new and emerging sources of data for teaching and training AI algorithms and (2) enabling AI algorithms to use automated tools for training new and improved algorithms. This approach is going beyond the state-of-the-art in AI algorithms and suggests a design that enables autonomous algorithms to self-optimise and self-adapt, and on a higher level, be capable to self-procreate.
