论文标题
如何在一生的任务中重复使用和撰写知识：一项有关持续学习和功能组成的调查
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
论文作者
论文摘要
人工智能（AI）的主要目标是创建能够获得对世界一般理解的代理。这样的代理人将需要能够在遇到新体验时不断积累和建立知识的能力。终身或持续的学习解决了这种设置，因此代理商面临持续的问题，并且必须努力捕获解决其遇到的每项新任务所需的知识。如果代理能够以某种形式的组成表示积累知识，则可以选择性地重复使用并结合相关知识以构建新的解决方案。尽管这个简单的想法具有直观的吸引力，但关于终身学习和构图学习的文献在很大程度上已经进行了。为了促进两个领域之间桥接的发展，本文调查了他们各自的研究景观，并讨论了它们之间的现有和将来的联系。
A major goal of artificial intelligence (AI) is to create an agent capable of acquiring a general understanding of the world. Such an agent would require the ability to continually accumulate and build upon its knowledge as it encounters new experiences. Lifelong or continual learning addresses this setting, whereby an agent faces a continual stream of problems and must strive to capture the knowledge necessary for solving each new task it encounters. If the agent is capable of accumulating knowledge in some form of compositional representation, it could then selectively reuse and combine relevant pieces of knowledge to construct novel solutions. Despite the intuitive appeal of this simple idea, the literatures on lifelong learning and compositional learning have proceeded largely separately. In an effort to promote developments that bridge between the two fields, this article surveys their respective research landscapes and discusses existing and future connections between them.
