论文标题
自主学习者的途径
The Path to Autonomous Learners
论文作者
论文摘要
在本文中，我们提出了一种新的理论方法，用于启用智能系统的领域知识获取。我们介绍了一个混合模型，该模型从最小的输入知识开始，其形式是通过知识图数据库的概念，商店和原因的上层本体的形式，并通过逻辑神经网络学习新信息。我们在处理新数据时研究了这种体系结构的行为，并表明最终系统能够丰富其当前知识并将其扩展到新领域。
In this paper, we present a new theoretical approach for enabling domain knowledge acquisition by intelligent systems. We introduce a hybrid model that starts with minimal input knowledge in the form of an upper ontology of concepts, stores and reasons over this knowledge through a knowledge graph database and learns new information through a Logic Neural Network. We study the behavior of this architecture when handling new data and show that the final system is capable of enriching its current knowledge as well as extending it to new domains.
