当前位置: X-MOL 学术Trends Cogn. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The challenges of lifelong learning in biological and artificial systems
Trends in Cognitive Sciences ( IF 19.9 ) Pub Date : 2022-11-02 , DOI: 10.1016/j.tics.2022.09.022
Sashank Pisupati 1 , Yael Niv 1
Affiliation  

How do biological systems learn continuously throughout their lifespans, adapting to change while retaining old knowledge, and how can these principles be applied to artificial learning systems? In this Forum article we outline challenges and strategies of ‘lifelong learning’ in biological and artificial systems, and argue that a collaborative study of each system’s failure modes can benefit both.



中文翻译:

生物和人工系统中终身学习的挑战

生物系统如何在其整个生命周期中不断学习,在保留旧知识的同时适应变化,以及如何将这些原则应用于人工学习系统?在这篇论坛文章中,我们概述了生物和人工系统中“终身学习”的挑战和策略,并认为对每个系统的故障模式进行协作研究可以使两者受益。

更新日期:2022-11-02
down
wechat
bug