A computer system accesses a first linear sequence table including a plurality of entities in a database. Each of the plurality of entities includes sequential state information about each user. Sequential state information about each entity identifies each preceding event associated with each preceding time and each subsequent event associated with each subsequent time following each preceding event. The computer system initiates the merging of the data in the first linear sequence table to obtain a quantity corresponding to the number of entities associated with a particular preceding event of the plurality of entities, a specific subsequent event of the preceding event, and the subsequent event. Accordingly, the present invention can increase the efficiency of the computer system.
Artificial Intelligence for Decision Making Based on Machine Learning of Human Decision Making Process