Generation-based evolution of non-player characters in a game

Patent metadata

Field	Value
Publication number	US-12026629-B2
Application number	US-202318107918-A
Country	US
Kind code	B2
Filing date	Feb 9, 2023
Priority date	Apr 20, 2017
Publication date	Jul 2, 2024
Grant date	Jul 2, 2024

Abstract

A method for configuring a character in a game includes generating a first non-player character of a first generation in the game, the first generation being associated with a first difficulty level, and detecting a target event affecting the first non-player character of the first generation in the game. The method further includes, based on the first non-player character of the first generation affected by the target event, obtaining an evolution indicator of an evolution from the first generation to a second generation associated with a second difficulty level higher than the first difficulty level. The method further includes, in response to the evolution indicator indicating that the evolution from the first generation to the second generation is successful, generating the second generation comprising two or more second non-player characters while one or more non-player characters of the first generation remain in the game.

First claim

What is claimed is:

1. A method for configuring a character in a game, the method comprising:
generating a first non-player character of a first generation in the game, the first generation being associated with a first difficulty level;
detecting a target event affecting the first non-player character of the first generation in the game;
based on the first non-player character of the first generation affected by the target event, obtaining an evolution indicator of an evolution from the first generation to a second generation associated with a second difficulty level higher than the first difficulty level; and
in response to the evolution indicator indicating that the evolution from the first generation to the second generation is successful, generating the second generation comprising two or more second non-player characters while one or more non-player characters of the first generation remain in the game.

2. The method according to claim 1 , wherein the second generation associated with the second difficulty level has a value higher than the first generation of at least one of: attack power, life attribute, or defense power.

3. The method according to claim 1 , wherein the second generation associated with the second difficulty level is controlled with a next-generation artificial intelligence (AI) algorithm having higher difficulty than the first generation associated with the first difficulty level.

4. The method according to claim 1 , wherein the target event decreases a health attribute of the first non-player character.

5. The method according to claim 1 , wherein the generating the second generation comprises:
in response to a non-player character of the first generation being eliminated from the game, generating a corresponding non-player character of the second generation in the game.

6. The method according to claim 1 , wherein the obtaining the evolution indicator comprises randomly selecting a value of the evolution indicator according to a probability distribution, the selected value of the evolution indicator indicating success or failure of the evolution from the first generation to the second generation.

7. The method according to claim 6 , wherein the selecting the value of the evolution indicator according to the probability distribution is based on the first generation.

8. The method according to claim 1 , wherein the second generation is associated with at least one attribute value that is randomly generated based on the first generation.

9. The method according to claim 1 , wherein the second generation is associated with at least one attribute copied from a player character in the game.

10. The method according to claim 1 , further comprising obtaining configuration information corresponding to the target event, the configuration information defining the evolution from the first generation and the second generation and including at least one of
a first attribute indicating that a degree of decreasing a life attribute value of non-player characters of the second generation by the target event is less than a degree of decreasing the life attribute value of non-player characters of the first generation; or
a second attribute providing a defense against the target event.

11. The method according to claim 10 , wherein the obtaining the configuration information comprises:
saving an attribute that is used by a player character as the first attribute or the second attribute, the saved attribute being used by the player character in response to the target event.

12. The method according to claim 10 , wherein
the obtaining the configuration information corresponding to the target event is performed in response to the evolution indicator indicating that the evolution from the first generation to the second generation is successful, and
the evolution indicator comprises an evolution probability, and the evolution indicator indicates that the evolution from the first generation to the second generation is successful when the evolution probability is greater than a preset probability.

13. The method according to claim 1 , wherein the detecting the target event comprises at least one of:
detecting the target event when a player character launches an attack against the first non-player character; or
detecting the target event when a game environment modifies a life attribute value of the first non-player character.

14. The method according to claim 13 , wherein, when it is detected that the player character launches the attack against the first non-player character,
the attack reduces the life attribute value of the first non-player character to a minimum life attribute value, or
the attack reduces the life attribute value of the first non-player character to a non-minimum life attribute value.

15. The method according to claim 13 , wherein the detecting the target event when the player character launches the attack against the first non-player character comprises:
detecting the target event that is initiated by the player character only when the attack reduces the life attribute value of the first non-player character to a minimum life attribute value.

16. An apparatus for configuring a character in a game, the apparatus comprising:
processing circuitry configured to:
generate a first non-player character of a first generation in the game, the first generation being associated with a first difficulty level;
detect a target event affecting the first non-player character of the first generation in the game;
based on the first non-player character of the first generation affected by the target event, obtain an evolution indicator of an evolution from the first generation to a second generation associated with a second difficulty level higher than the first difficulty level; and
in response to the evolution indicator indicating that the evolution from the first generation to the second generation is successful, generate the second generation comprising two or more second non-player characters while one or more non-player characters of the first generation remain in the game.

17. The apparatus according to claim 16 , wherein the second generation associated with the second difficulty level is controlled with a next-generation artificial intelligence (AI) algorithm having higher difficulty than the first generation associated with the first difficulty level.

18. The apparatus according to claim 16 , wherein the target event decreases a health attribute of the first non-player character.

19. The apparatus according to claim 16 , wherein the processing circuitry is further configured to:
in response to a non-player character of the first generation being eliminated from the game, generate a corresponding non-player character of the second generation in the game.

20. A non-transitory computer-readable medium storing computer-readable instructions therein which, when executed by a computer, cause the computer to perform:
generating a first non-player character of a first generation in a game, the first generation being associated with a first difficulty level;
detecting a target event affecting the first non-player character of the first generation in the game;
based on the first non-player character of the first generation affected by the target event, obtaining an evolution indicator of an evolution from the first generation to a second generation associated with a second difficulty level higher than the first difficulty level; and
in response to the evolution indicator indicating th

Assignees

• Tencent Tech Shenzhen Co Ltd

Inventors

• Xie Wei

Classifications

• A63F2300/65

  for computing the condition of a game character · CPC title

• A63F2300/64

  for computing dynamical parameters of game objects, e.g. motion determination or computation of frictional forces for a virtual car · CPC title

• A63F13/58

  by computing conditions of game characters, e.g. stamina, strength, motivation or energy level · CPC title

• A63F13/56 Primary

  Computing the motion of game characters with respect to other game characters, game objects or elements of the game scene, e.g. for simulating the behaviour of a group of virtual soldiers or for path finding · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title