How to generate a trained model to predict the action the user chooses, etc.

Abstract

PROBLEM TO BE SOLVED: To provide a method capable of generating a trained model for predicting an action selected by a user. A method according to an embodiment of the present invention generates a trained model for predicting an action selected by a user in a game in which the game progresses according to an action selected by the user and the game state is updated. It is a method for determining a weight for each of the historical data elements, generating training data from the game state and action data included in the historical data elements, and a trained model based on the generated training data. The generation of training data, including the generation of, is a game state text corresponding to one game state, which is a number of game states based on a determined weight of texts in different order of multiple element texts. It involves generating text and generating training data containing pairs of each of the generated game state texts with corresponding action texts.

Full Text: Google Patents