Title:
METHOD FOR GENERATING TRAINED MODEL FOR PREDICTING ACTION TO BE SELECTED BY USER
Document Type and Number:
WIPO Patent Application WO/2022/224932
Kind Code:
A1
Abstract:
Provided is a method by which it is possible to generate a trained model for predicting an action to be selected by a user. A method according to one embodiment of the present invention is for generating a trained model for predicting an action to be selected by a user in a game that progresses and the game state of which is updated according to actions selected by the user, the method comprising: determining a weight with respect to each element in a history data element group; generating training data from the game state and action data that are included in the history data element group; and generating a trained model on the basis of the generated training data, wherein the generating of the training data comprises: generating game state texts containing a plurality of elemental texts in differently ordered arrangements as game state texts corresponding to a single game state, the number of game state texts being based on the determined weights; and generating training data containing a pair of each of the generated game state texts and a corresponding action text.
Inventors:
KURABAYASHI SHUICHI (JP)
Application Number:
PCT/JP2022/018034
Publication Date:
October 27, 2022
Filing Date:
April 18, 2022
Export Citation:
Assignee:
CYGAMES INC (JP)
International Classes:
A63F13/67; A63F13/79; A63F13/798; A63F13/80; G06N20/00
Foreign References:
| JP2019164656A | 2019-09-26 | |||
| JP6748281B1 | 2020-08-26 | |||
| JP2020115957A | 2020-08-06 | |||
| US20200289943A1 | 2020-09-17 |
Attorney, Agent or Firm:
TANAKA Shinichiro et al. (JP)
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