论文标题
关于神经肯定人工智能应用的调查
Survey on Applications of Neurosymbolic Artificial Intelligence
论文作者
论文摘要
近年来，神经成像框架在各种应用程序中引起了很多关注，从推荐系统和信息检索到医疗保健和金融。这种成功是由于其出色的表现以及吸引人的特性，例如学习和推理。新的新兴神经肯定领域目前正在经历文艺复兴，因为正在引入各种实际应用的新颖框架和算法，这是基于经典神经和推理问题设定的基础。本文旨在对神经肯定人工智能的现实世界应用中的最新发展进行全面综述。具体而言，我们介绍了常见神经符号应用的分类法，并为每个领域中的每个领域总结了最先进的方法。此外，我们确定了当前的重要趋势，并提供了与这个新兴领域的未来有关的新观点。
In recent years, the Neurosymbolic framework has attracted a lot of attention in various applications, from recommender systems and information retrieval to healthcare and finance. This success is due to its stellar performance combined with attractive properties, such as learning and reasoning. The new emerging Neurosymbolic field is currently experiencing a renaissance, as novel frameworks and algorithms motivated by various practical applications are being introduced, building on top of the classical neural and reasoning problem setting. This article aims to provide a comprehensive review of significant recent developments in real-world applications of Neurosymbolic Artificial Intelligence. Specifically, we introduce a taxonomy of common Neurosymbolic applications and summarize the state-of-the-art for each of those domains. Furthermore, we identify important current trends and provide new perspectives pertaining to the future of this burgeoning field.
