Information processing apparatus, program and information processing method

An information processing method executed by a computer, comprising:

• a simulation stage of performing a first simulation that involves a plurality of agents under a first simulation condition;
• a counting stage of sorting the plurality of agents into a plurality of predefined states, wherein the plurality of predefined states comprises a plurality of different states, and of counting a number of the plurality of agents that is sorted into each state of the plurality of predefined states at a midpoint of the first simulation, wherein the number of the plurality of agents that is sorted into each state of the plurality of states is represented by a smaller amount of data than states of the plurality of agents;
• and
• a generation stage of generating characteristic data, wherein the characteristic data comprises the first simulation condition at the midpoint and a plurality of matrices, wherein each matrix of the plurality of matrices corresponds to one state of the plurality of predefined states, wherein elements of the each matrix comprise the number of the plurality of agents that is sorted into the one state of the plurality of predefined states;
• and
• predicting and outputting a result at an end point of the first simulation at the midpoint of the first simulation based on the characteristic data and the number of the plurality of agents that is sorted into the one state at the midpoint of the first simulation.

A non-transitory machine-readable storage medium encoded with instructions executable by a processor, the machine-readable storage medium comprising:

• instructions to perform a first simulation that involves a plurality of agents under a first simulation condition;
• instructions to sort the plurality of agents into a plurality of predefined states, wherein the plurality of predefined states comprises a plurality of different states, and to count a number of the plurality of agents that is sorted into each state of the plurality of predefined states at a midpoint of the first simulation, wherein the number of the plurality of agents that is sorted into each state of the plurality of states is represented by a smaller amount of data than states of the plurality of agents;
• and
• instructions to generate characteristic data, wherein the characteristic data comprises the first simulation condition at the midpoint and a plurality of matrices, wherein each matrix of the plurality of matrices corresponds to one state of the plurality of predefined states, wherein elements of the each matrix comprise the number of the plurality of agents that is sorted into the one state of the plurality of predefined states;
• and
• instructions to predict and output a result at an end point of the first simulation at the midpoint of the first simulation based on the characteristic data and the number of the plurality of agents that is sorted into the one state at the midpoint of the first simulation.