TL;DR神经符号 AI 旨在将深度学习与符号 AI 相结合,以减少训练神经网络所需的数据量,提高模型给出答案的可解释性和可解性,并验证经过训练的系统的正确性。我们研究神经符号学习,既有使用符号语言表示的数据,也有背景知识。通过模糊推理、概率推理以及训练神经网络来连接符号和神经组件,以交流这一知识。
Abstract
neurosymbolic ai aims to integrate deep learning with symbolic AI. This
integration has many promises, such as decreasing the amount of data required
to train a neural network, improving the explainability and interpretability of
answers given by models and verifying the correctness of