In this loose coupling design, data flows sequentially from one paradigm to another. For instance, a raw input (like an image) is processed by a neural network to extract features or text labels. These clean labels are then fed into a standard symbolic reasoner or knowledge graph to output a decision. The two components remain structurally isolated. Deep Learning Cascaded with Symbolic Programs (Type 2)
Building self-driving software that uses neural networks for object tracking, backed by a symbolic safety envelope that guarantees compliance with legal speed limits and right-of-way rules. In this loose coupling design, data flows sequentially
Systems that can reflect on their own reasoning process, switching between neural intuition and symbolic deliberation based on the task difficulty. In this loose coupling design
