Information processing apparatus and information processing method

An information processing method comprising:

• acquiring output data obtained by performing an experiment or simulation based on an input parameter and a physical quantity of the output data;
• inputting the output data to a learned model and extracting a feature amount of the output data;
• generating a first reference feature amount;
• generating a second reference feature amount based on the physical quantity of the output data and a degree of similarity between the first reference feature amount and the feature amount of the output data;
• calculating a degree of similarity between the second reference feature amount and the feature amount of the output data, and setting an evaluation value based on the calculated degree of similarity and the physical quantity of the output data;
• and
• determining an input parameter for a next experiment or simulation based on the evaluation value, wherein
• acquiring the output data and the physical quantity of the output data, inputting the output data, extracting the feature amount of the output data, generating the first reference feature amount, generating the second reference feature amount, calculating the degree of similarity, setting the evaluation value, and determining the input parameter are repeated until a predetermined condition is satisfied.