There's usually a DL part (the neural network), welded together with a classical AI algorithm, e.g. Monte Carlo Tree Search, or some kind of theorem prover.
The symbolic part is the MCTS and/or theorem prover. DL is deep learning, i.e. the multilayered neural network. Neurosymbolic approaches form a significant branch of current machine learning. You can read up on all of it if you're actually curious and asking all this in good faith, but I suspect you're not.
