FURI | Spring 2024

Knowledge Representation and Reasoning through Neural Networks

In this paper, a novel approach for non-symbolic knowledge representation in deep learning is shown. This research paper starts by introducing a theory for a new approach of non-symbolic knowledge representation in deep learning and how it can be used for reasoning. In the end, a conclusion coming from a practical application is also shown.