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Competition prediction method and device for modeling cooperative competition effect

A technology of effect and model, applied in the field of game prediction of modeling cooperation and competition effects, to achieve the effect of lineup configuration optimization

Active Publication Date: 2021-07-02
UNIV OF SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

At the same time, members of different importance will receive different degrees of attention in team competitions, and few works have considered this influencing factor

Method used

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  • Competition prediction method and device for modeling cooperative competition effect
  • Competition prediction method and device for modeling cooperative competition effect
  • Competition prediction method and device for modeling cooperative competition effect

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] In order to facilitate the understanding of this scheme, the following first explains the cooperation effect and competition effect:

[0055] Cooperative effects and competitive effects widely exist in grou...

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Abstract

The invention provides a competition prediction method and device for modeling a cooperation competition effect, and provides a competition cooperation model which can learn the competition cooperation effect and is used for predicting a competition result. Specifically, after the roles of the two teams in the to-be-predicted competition are obtained, the roles of individual members can be projected to a hidden space through the competition cooperation model, and then the ability values of the two teams can be accurately predicted through the cooperation effect between the modeled teammates and the competition effect between the modeled opponents so that a winning and losing result is determined. According to the method, the competition winning and losing result can be accurately predicted, and experimental results of multiple electronic competitions show that the method is superior to other methods. Moreover, the method can be easily popularized to other tasks, such as team formation, lineup configuration optimization and MOBA game balance detection.

Description

technical field [0001] The invention relates to the technical fields of machine learning, artificial intelligence and game data mining, and more specifically, relates to a game prediction method and device for modeling cooperation and competition effects. Background technique [0002] Team confrontation is a common form of competition. Common team confrontation games include basketball, football, and MOBA games DOTA and LOL. Predicting the outcome of team games is a challenging task. [0003] Because people have social attributes, members in the game will inevitably interact with other members and affect the outcome of the game. Existing works mainly focus on modeling individual capabilities of team members, or modeling interactions within teams. However, there are multiple complex interactions in team games, including intra-team interactions (i.e., cooperation effects) and inter-team interactions (i.e., competition effects). At the same time, members of different importa...

Claims

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Application Information

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IPC IPC(8): A63B71/06G06F16/951G06N3/04G06N3/08
CPCA63B71/06G06N3/08G06F16/951G06N3/045
Inventor 刘淇陈恩红顾垠张凯黄振亚
Owner UNIV OF SCI & TECH OF CHINA
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