NeuralLog: a Neural Logic Language

Understand

Application domains that require considering relationships among objects which have real-valued attributes are becoming even more important.

• In this paper we propose NeuralLog, a first-order logic language that is compiled to a neural network.
• The main goal of NeuralLog is to bridge logic programming and deep learning, allowing advances in both fields to be combined in order to obtain better machine learning models.
• The main advantages of NeuralLog are: to allow neural networks to be defined as logic programs; and to be able to handle numeric attributes and functions.