Neural-symbolic and statistical relational artificial intelligence both integrate frameworks for learning with logical reasoning. This survey identifies several parallels across seven different dimensions between these two fields. These cannot only be used to characterize and position neural-symbolic artificial intelligence approaches but also to identify a number of directions for further research.
翻译:神经-听觉和统计关系人工智能将学习框架与逻辑推理相结合。本调查确定了这两个领域七个不同层面的若干平行点,不能仅用于描述和定位神经-听觉人工智能方法,还可以用于确定进一步研究的方向。