Self-evolving AI-based playstyle models

Patent metadata

Field	Value
Publication number	US-12293629-B2
Application number	US-202318529248-A
Country	US
Kind code	B2
Filing date	Dec 5, 2023
Priority date	Nov 29, 2021
Publication date	May 6, 2025
Grant date	May 6, 2025

Abstract

The present disclosure relates generally to a gaming system, device, and method supportive of a self-evolving, AI-based playstyle models. A gaming system, device, and method are provided that identify data associated with a gameplay session at a gaming device, provide the data to a machine learning network; receive an output from the machine learning network in response to the machine learning network processing the data using a playstyle model, the output including an indication associated with modifying the playstyle model; and modify the playstyle model based on the indication. The data includes at least one of: a gameplay decision received during the gameplay session; and an emotional state of a user in association with the gameplay decision.

First claim

What is claimed is:

1. A method for monitoring play of an electronic game, the method comprising:
generating, by a gaming server, a playstyle model for the electronic game based on a set of gameplay decisions associated with a plurality of previous gameplay sessions for the electronic game;
associating, by the gaming server, the generated playstyle model with a player of the electronic game;
identifying, by the gaming server, gameplay data for a gaming session of the electronic game with the player at a gaming system, the gameplay data comprising data indicating a gameplay decision by the player during the gaming session;
modifying, by the gaming server, the playstyle model associated with the player based on the identified gameplay data, wherein modifying the playstyle model associated with the player based on the identified gameplay data comprises comparing an action of the player indicated by the gameplay data to an action indicated by the playstyle model; and
in response to not identifying a match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model, identifying a reason for no match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model.

2. The method of claim 1 , wherein the set of gameplay decisions associated with the plurality of previous gameplay sessions for the electronic game comprise gameplay decisions made by a plurality of players of the electronic game.

3. The method of claim 1 , further comprising predicting, by the gaming server, an action of the player in the gaming session based on the playstyle model and wherein the action of the player indicated by the playstyle model comprises the predicted action of the player in the gaming session.

4. The method of claim 1 , wherein modifying the playstyle model comprises adding the action of the player indicated by the gameplay data to a history of actions in the playstyle model in response to identifying a match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model.

5. The method of claim 1 , further comprising receiving, by the gaming server, from a sensor associated with the gaming system, sensor data associated with the player and indicating a state for the player, and wherein identifying the reason for no match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model comprises identifying a change in the state for the player based on the sensor data.

6. A system comprising:
a processor coupled with the communications interface; and
a memory coupled with and readable by the processor and storing therein a set of instructions which, when executed by the processor, causes the processor to:
generate a playstyle model for the electronic game based on a set of gameplay decisions associated with a plurality of previous gameplay sessions for the electronic game;
associate the generated playstyle model with a player of the electronic game;
identify gameplay data for a gaming session of the electronic game with the player at a gaming system, the gameplay data comprising data indicating a gameplay decision by the player during the gaming session;
modify the playstyle model associated with the player based on the identified gameplay data, wherein modifying the playstyle model associated with the player based on the identified gameplay data comprises comparing an action of the player indicated by the gameplay data to an action indicated by the playstyle model; and
in response to not identifying a match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model, identify a reason for no match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model.

7. The system of claim 6 , wherein the set of gameplay decisions associated with the plurality of previous gameplay sessions for the electronic game comprise gameplay decisions made by a plurality of players of the electronic game.

8. The system of claim 6 , wherein the instructions further cause the processor to predict an action of the player in the gaming session based on the playstyle model and wherein the action of the player indicated by the playstyle model comprises the predicted action of the player in the gaming session.

9. The system of claim 6 , wherein modifying the playstyle model comprises adding the action of the player indicated by the gameplay data to a history of actions in the playstyle model in response to identifying a match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model.

10. The system of claim 6 , wherein the instructions further cause the processor to receive, from a sensor associated with the gaming system, sensor data associated with the player and indicating a state for the player, and wherein identifying the reason for no match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model comprises identifying a change in the state for the player based on the sensor data.

11. A non-transitory, computer-readable medium comprising a set of instructions stored therein which, when executed by a processor, causes the processor to:
generate a playstyle model for the electronic game based on a set of gameplay decisions associated with a plurality of previous gameplay sessions for the electronic game;
associate the generated playstyle model with a player of the electronic game;
identify gameplay data for a gaming session of the electronic game with the player at a gaming system, the gameplay data comprising data indicating a gameplay decision by the player during the gaming session;
modify the playstyle model associated with the player based on the identified gameplay data, wherein modifying the playstyle model associated with the player based on the identified gameplay data comprises comparing an action of the player indicated by the gameplay data to an action indicated by the playstyle model; and
in response to not identifying a match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model, identify a reason for no match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model.

12. The system of claim 11 , wherein the instructions further cause the processor to predict an action of the player in the gaming session based on the playstyle model and wherein the action of the player indicated by the playstyle model comprises the predicted action of the player in the gaming session.

13. The system of claim 11 , wherein modifying the playstyle model comprises adding the action of the player indicated by the gameplay data to a history of actions in the playstyle model in response to identifying a match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model.

14. The system of claim 11 , wherein the instructions further cause the processor to receive, from a sensor associated with the gaming system, sensor data associated with the player and indicating a state for the player, and wherein identifying the reason for no match between the action of the player indicated by the gameplay data and an action indicated by the playstyle model comprises identifying a change in the state for the player based on the sensor data.

Assignees

• Igt Reno Nev

Inventors

• Froy David
• Trenkler Thomas
• VAN NIEKERK Karen
• Russ Michael
• Small David

Classifications

• G07F17/323 Primary

  wherein the player is informed, e.g. advertisements, odds, instructions · CPC title

• G07F17/3206

  Player sensing means, e.g. presence detection, biometrics · CPC title

• G06N3/12

  using genetic models · CPC title

• G07F17/3237

  about the players, e.g. profiling, responsible gaming, strategy/behavior of players, location of players · CPC title

• G06N3/006

  based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO] · CPC title