Game task display method, device and equipment based on game role balance development

Abstract

The invention belongs to the technical field of games. The invention discloses a game task display method, device and equipment based on game role balanced development, and the method comprises the steps: obtaining a plurality of attribute values of a game role, taking one attribute value as a basic value, calculating the difference between the basic value and the plurality of attribute values, and obtaining the weight sorting of game role attributes; matching game task rewards with game role attributes, and classifying game tasks according to the game task rewards and the game role attributes; sorting the game task categories based on the weight sorting of the game role attributes, and performing split-screen display of the game tasks according to the category sorting, wherein the areas of the multiple split screens are different, and the areas of the split screens are matched with the sorting positions of the corresponding game task categories; in conclusion, the interactive efficiency of a player in directionally searching the game task can be effectively improved, so that the time waste is reduced, the game experience is improved, and the game role can keep good balanced development.

Description

technical field

[0001] The invention belongs to the technical field of games, and in particular relates to a game task display method, device and equipment based on the balanced development of game characters. Background technique

[0002] In existing games, each game character includes various corresponding attributes. Taking a battle game as an example: the game character attributes include attack lethality, attack hit rate, defense power, agility, etc.; Most of the attributes of the game are improved by obtaining corresponding equipment, energy values, or upgrades, so as to achieve the overall development of the game character. For the game character, the more balanced the development of its various attributes, the higher its overall strength.

[0003] In actual games, most of the corresponding game tasks will be set up, and corresponding rewards can be obtained after completing the tasks to improve the performance of game character attributes. However, the obtained rewar...

Examples

Embodiment 1

[0041] see figure 1 As shown, it is a flow chart of a game task display method based on the balanced development of game characters provided by this embodiment, which specifically includes the following steps:

[0042] S1. Obtain multiple attribute values ​​of the game character, and randomly select one of the attribute values ​​as the base value, calculate the difference between the base value and multiple attribute values, and obtain the weight order of the game character attributes;

[0043] In this embodiment, assume that the game character includes five attributes of attack lethality, attack hit rate, defense, agility and life level, and the default final value of each attribute is 1000;

[0044] The above attribute values: attack lethality is 500; attack hit rate is 300; defense is 700; agility is 400; life level is 450. The attack damage is randomly selected as the base value, that is, the base value is 500; thus obtained:

[0045] Difference a (attack hit rate)=500-3...

Embodiment 2

[0061] The overall principle is the same as that of Embodiment 1, the only difference is that in this embodiment, the selected base value is the attribute value with the largest value among the multiple attribute values; corresponding to:

[0062] In this embodiment, assume that the game character includes five attributes of attack lethality, attack hit rate, defense, agility and life level, and the default final value of each attribute is 1000;

[0063] The above attribute values: the attack lethality is 500; the attack hit rate is 300; the defense power is 700; the agility is 400; the life level is 450; The base value, that is, the base value is 700; obtained from this:

[0064] Difference a (attack lethality)=700-500=200;

[0065] Difference b (attack hit rate)=700-300=400;

[0066] Difference c (agility) = 700-400 = 300;

[0067] Difference d (life level)=700-450=250;

[0068] Difference e (defense power)=500-500=0;

[0069] Specifically, the weight sorting method for...

Embodiment 3

[0071] As a further possible implementation of embodiment 2: after completing the game classification, it also includes the sorting of similar game tasks, combined with figure 2 As shown in the flow chart, the specific ordering method is as follows:

[0072] Get the reward value of the game task; take the main game task of increasing lethality as an example: the reward value of game task 1 is: increase the lethality by 50; the reward value of game task 2 is: increase the lethality by 150; the reward value of game task 2 For: increase 170 lethality.

[0073] Obtain the attribute value corresponding to this type of game task, and the difference between the base value and the attribute value, and record the numerical difference as the first reference value; specifically, the attribute value corresponding to the main lethality-increasing game task is 500, and the base value If the difference with the attribute value is 200, then the first reference value is 200;

[0074] Calcul...

technical field

[0001] The invention belongs to the technical field of games, and in particular relates to a game task display method, device and equipment based on the balanced development of game characters. Background technique

[0002] In existing games, each game character includes various corresponding attributes. Taking a battle game as an example: the game character attributes include attack lethality, attack hit rate, defense power, agility, etc.; Most of the attributes of the game are improved by obtaining corresponding equipment, energy values, or upgrades, so as to achieve the overall development of the game character. For the game character, the more balanced the development of its various attributes, the higher its overall strength.

[0003] In actual games, most of the corresponding game tasks will be set up, and corresponding rewards can be obtained after completing the tasks to improve the performance of game character attributes. However, the obtained rewar...

Examples

Embodiment 1

[0041] see figure 1 As shown, it is a flow chart of a game task display method based on the balanced development of game characters provided by this embodiment, which specifically includes the following steps:

[0042] S1. Obtain multiple attribute values ​​of the game character, and randomly select one of the attribute values ​​as the base value, calculate the difference between the base value and multiple attribute values, and obtain the weight order of the game character attributes;

[0043] In this embodiment, assume that the game character includes five attributes of attack lethality, attack hit rate, defense, agility and life level, and the default final value of each attribute is 1000;

[0044] The above attribute values: attack lethality is 500; attack hit rate is 300; defense is 700; agility is 400; life level is 450. The attack damage is randomly selected as the base value, that is, the base value is 500; thus obtained:

[0045] Difference a (attack hit rate)=500-3...

Embodiment 2

[0061] The overall principle is the same as that of Embodiment 1, the only difference is that in this embodiment, the selected base value is the attribute value with the largest value among the multiple attribute values; corresponding to:

[0062] In this embodiment, assume that the game character includes five attributes of attack lethality, attack hit rate, defense, agility and life level, and the default final value of each attribute is 1000;

[0063] The above attribute values: the attack lethality is 500; the attack hit rate is 300; the defense power is 700; the agility is 400; the life level is 450; The base value, that is, the base value is 700; obtained from this:

[0064] Difference a (attack lethality)=700-500=200;

[0065] Difference b (attack hit rate)=700-300=400;

[0066] Difference c (agility) = 700-400 = 300;

[0067] Difference d (life level)=700-450=250;

[0068] Difference e (defense power)=500-500=0;

[0069] Specifically, the weight sorting method for...

Embodiment 3

[0071] As a further possible implementation of embodiment 2: after completing the game classification, it also includes the sorting of similar game tasks, combined with figure 2 As shown in the flow chart, the specific ordering method is as follows:

[0072] Get the reward value of the game task; take the main game task of increasing lethality as an example: the reward value of game task 1 is: increase the lethality by 50; the reward value of game task 2 is: increase the lethality by 150; the reward value of game task 2 For: increase 170 lethality.

[0073] Obtain the attribute value corresponding to this type of game task, and the difference between the base value and the attribute value, and record the numerical difference as the first reference value; specifically, the attribute value corresponding to the main lethality-increasing game task is 500, and the base value If the difference with the attribute value is 200, then the first reference value is 200;

[0074] Calcul...

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