This application belongs to the field of
artificial intelligence and healthcare technology, specifically disclosing a multi-memory
large model enhancement method and
system based on
adaptive resonance theory. The method includes: obtaining memory units from the plot
memory module based on a new medical dialogue event;
processing the new medical dialogue event through a
large model based on multi-source memory; multi-source memory is constructed based on information stored in memory units,
working memory modules, and semantic memory modules; the plot
memory module is used to: determine candidate plot prototypes by analyzing attribute similarity; determine whether there is
resonance between the new medical dialogue event and the candidate plot prototype; if there is
resonance, use historical dialogue events in the event set of the resonant plot prototype as memory units and update the resonant plot prototype; if there is no
resonance, create a new plot prototype. This application enables effective
memory management and improves the stability and accuracy of
large model reasoning in medical dialogue scenarios.