PDF(Pubmed)
Abstract：
The combination of lifelong learning algorithms with autonomous intelligent systems (AIS) is gaining popularity due to its ability to enhance AIS performance, but the existing summaries in related fields are insufficient. Therefore, it is necessary to systematically analyze the research on lifelong learning algorithms with autonomous intelligent systems, aiming to gain a better understanding of the current progress in this field. This paper presents a thorough review and analysis of the relevant work on the integration of lifelong learning algorithms and autonomous intelligent systems. Specifically, we investigate the diverse applications of lifelong learning algorithms in AIS\'s domains such as autonomous driving, anomaly detection, robots, and emergency management, while assessing their impact on enhancing AIS performance and reliability. The challenging problems encountered in lifelong learning for AIS are summarized based on a profound understanding in literature review. The advanced and innovative development of lifelong learning algorithms for autonomous intelligent systems are discussed for offering valuable insights and guidance to researchers in this rapidly evolving field.
摘要：
终身学习算法与自主智能系统（AIS）的结合由于其增强AIS性能的能力而越来越受欢迎，但现有相关领域的总结不足。因此,有必要系统分析具有自主智能系统的终身学习算法的研究，旨在更好地了解这一领域的当前进展。本文对终身学习算法和自主智能系统集成的相关工作进行了全面的回顾和分析。具体来说,我们研究了终身学习算法在AIS领域的不同应用，如自动驾驶，异常检测,机器人,和应急管理，同时评估它们对提高AIS性能和可靠性的影响。在文献综述的基础上，总结了AIS终身学习中遇到的挑战性问题。讨论了用于自主智能系统的终身学习算法的先进和创新发展，为这个快速发展的领域的研究人员提供有价值的见解和指导。
