This is a thread for talking about general pattern recognition and pattern extension algorithms!! I'll kick the thread off with a link to a paper about the "tolman-eichenbaum machine", which is a neural network-derived data structure that emulates the behavior of the hippocampus.

Tolman-eichenbaum machine: https://www.cell.com/cell/fulltext/S0092-8674(20)31388-X

(In common parlance this might be known as "machine learning" or "artificial intelligence", but I find using broad terms like that leads to conflation, and instead it to be best to focus on specific ways patterns can be modeled, and then using that as a component of a more sophisticated agent worthy of the moniker)