Method and device for acquiring capacity of asymmetric game players, facility and medium

Abstract

The invention discloses a method and a device for acquiring the capacity of asymmetric game players, a facility and a medium. The method comprises the following steps: acquiring game objects of an asymmetric game; constructing a probabilistic graphical model according to the game objects, in the probabilistic graphical model, setting one team capacity regulating factor for each team participatingin game playing of the asymmetric game, wherein the team capacity regulating factor acts to each member in the team, and in the probabilistic graphical model, setting an exerting regulating factor foreach member participating in game playing of the asymmetric game, wherein the exerting regulating factor acts to each member in game playing; according to the probabilistic graphical model, acquiringa factor graph; acquiring game playing data; and based on the factor graph and according to the game playing data, determining the capacity of the players by using a sum product algorithm. With the technical scheme, the capacity of each game player participating in the asymmetric game can be acquired.

Description

technical field [0001] The present invention relates to the field of game data processing, in particular to a method, device, device and medium for acquiring abilities of asymmetric game players. Background technique [0002] Most competitive games have a metric that evaluates whether the player completes the goal, which is the basis of the game. For games involving two or more players (multiplayer games), rankings of game player abilities are often involved. The ranking according to the player's ability encourages healthy competition among players. Players not only need to win a single game, but also allow more players to see and recognize their overall skill level. With the development of the game industry, the importance of game player ability evaluation is becoming more and more prominent. It can be widely used in game online matching, game member recommendation and game-related data mining, so as to improve the playability of the game, and further Improve the user vis...

AI Technical Summary

Problems solved by technology

However, TrueSkill assumes that the team ability of the team formed in the game battle is the sum of the abilities of all its team members. This assumption ignores the impact of the game environment on the team ability in an asymmetric game, which makes it difficult for the TrueSkill ranking system to be applied to asymmetrical games. In the evaluation of game player ability in symmetric games

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