神经符号人工智能:当前趋势

IF 1.4 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

AI Communications Pub Date : 2021-05-11 DOI:10.3233/aic-210084

Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, P. Hitzler

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引用次数: 58

摘要

神经符号人工智能——将符号方法与基于人工神经网络的方法相结合——有着悠久的历史。在本文中，我们通过对来自重要会议的最新出版物进行分类，提供了当前趋势的结构化概述。这篇文章旨在为一般主题的研究提供一个方便的起点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Neuro-Symbolic Artificial Intelligence: Current Trends

Neuro-Symbolic Artificial Intelligence – the combination of symbolic methods with methods that are based on artificial neural networks – has a long-standing history. In this article, we provide a structured overview of current trends, by means of categorizing recent publications from key conferences. The article is meant to serve as a convenient starting point for research on the general topic.

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来源期刊

AI Communications 工程技术-计算机：人工智能

CiteScore

2.30

自引率

12.50%

发文量

审稿时长

4.5 months

期刊介绍： AI Communications is a journal on artificial intelligence (AI) which has a close relationship to EurAI (European Association for Artificial Intelligence, formerly ECCAI). It covers the whole AI community: Scientific institutions as well as commercial and industrial companies. AI Communications aims to enhance contacts and information exchange between AI researchers and developers, and to provide supranational information to those concerned with AI and advanced information processing. AI Communications publishes refereed articles concerning scientific and technical AI procedures, provided they are of sufficient interest to a large readership of both scientific and practical background. In addition it contains high-level background material, both at the technical level as well as the level of opinions, policies and news.