System

A system comprising:

• circuitry configured to:
• acquire, via a communication interface coupled to a packet-switched network, sample data and population attribute statistics for each evaluation region, execute preprocessing comprising missing value completion, abnormal value removal, and categorical normalization to generate a preprocessed data set, and calculate aggregated indicators comprising at least an age distribution and an occupation distribution for each evaluation region;
• generate a first prompt sentence describing the aggregated indicators and generation conditions, input the first prompt sentence to a generative neural network model comprising a transformer-based architecture, cause the generative neural network model to generate a plurality of attribute profile structures, verify constraint compliance of the attribute profile structures, and register verified attribute profile structures in a storage device;
• apply a prediction model comprising a statistical estimation algorithm to the verified attribute profile structures, calculate preference probabilities for each target entity, and execute a simulation process comprising a plurality of preference calculation iterations to predict an outcome result including at least a share proportion and a predicted outcome entity for each evaluation region;
• generate a second prompt sentence defining analysis content, an output format, and a notification target specification, input the second prompt sentence to the generative neural network model, and cause the generative neural network model to generate explanation information and formatted output information in at least one of a tabular format, a graphical format, or a structured data format;
• and
• transmit a notification data packet comprising the explanation information and the formatted output information to an external apparatus via the communication interface.

A method comprising:

• acquiring, via a communication interface coupled to a packet-switched network, sample data and population attribute statistics for each evaluation region from a storage device, and executing preprocessing comprising at least completion of missing values, removal of abnormal values, normalization of categorical values, and aggregation processing to generate a preprocessed data set;
• generating a first prompt sentence based on the preprocessed data set, inputting the first prompt sentence to a generative neural network model, and causing the generative neural network model to generate a plurality of attribute profile structures each representing a virtual individual;
• verifying whether attribute values in the attribute profile structures satisfy preset constraint conditions, removing or correcting non-compliant attribute profile structures, and registering verified attribute profile structures in the storage device;
• applying a prediction model comprising at least one of a statistical estimation algorithm or a machine learning algorithm to the verified attribute profile structures, calculating preference probabilities for each target entity, and executing a simulation process to predict an outcome result;
• generating a second prompt sentence defining analysis processing content and an output format, inputting the second prompt sentence to the generative neural network model, and causing the generative neural network model to generate explanation information and formatted output information for the outcome result;
• and
• transmitting a notification data packet comprising the explanation information and the formatted output information to an external apparatus via the communication interface.