KR101117130B1 - Preset control method and runtame game balancing method for game balancing - Google Patents

Abstract

The present invention relates to a preset adjustment method and a runtime game balancing adjustment method for game balancing, it is possible to automatically adjust the balancing preset, and to adjust the balancing according to the user level during the game service, balancing adjustment in the game development stage By reducing the time and cost of balancing adjustments by automating, providing planners with the balance they want, allowing game players to play with fun and immersion as the planner intended, and at the service level by providing user-level balancing. Depending on the user's level, there is an advantage in resolving the difficulties that beginners encounter when starting a game and the boredom that a superior feels when playing.

Game balancing, difficulty control, user level understanding, behavior patterns

Description

Preset control method and runtime game balancing method for game balancing {PRESET CONTROL METHOD AND RUNTAME GAME BALANCING METHOD FOR GAME BALANCING}

The present invention relates to a preset adjustment method for game balancing and a runtime game balancing adjustment method, and more particularly, an automatic method of preset adjustment for balancing a game and an automatic method of balancing adjustment according to a user level during a game service. It is about.

The present invention is derived from the research conducted as part of the IT growth engine technology development project of the Ministry of Knowledge Economy and the Ministry of Information and Telecommunication Research and Development. [Task management number: 2006-S-044-03, Task name: Multicore CPU and MPU-based crop Platform game technology development].

In computer games, balancing, or balancing of game object attributes, is one of the important factors in game services.

In the case of mission-clearing games, in which a game is played to solve a given mission between the player and the computer, if the game play time is too easy for the player's level during the game, the game play time is increased. It gets shorter and it loses interest, and if it's too hard, the gameplay time gets longer, it gets bored and immersed.

In addition, in the case of a game between a player and a player, the diversity of the game is destroyed by using all of the attributes when a player having a certain attribute becomes superior regardless of the skill or skill of the player. Immersion is halved.

Balancing plays an important role in the immersion of the game as described above, but in the related art, a planner or developer arbitrarily determines or adjusts by hand through many game testers.

Balancing through the manual work according to the prior art has a problem that the balancing adjustment still occurs due to the nature of the manual work, although it takes a lot of time and money.

The present invention has been proposed to solve the above problems of the prior art, and it is possible to automate random balancing so that the balancing adjustment does not occur while reducing time and cost. To this end, by suggesting how to adjust the preset of game balancing and how to adjust the balancing according to the level of the user playing, it is possible to automatically adjust the balancing preset, and to adjust the balancing according to the user level during the game service. Do. By automating balancing adjustments at the game development stage, you can save time and money from balancing adjustments, and provide gamers with the balance they want, allowing game players to play with fun and immersion as planned. At the service level, by providing user-level balancing, it is possible to solve the difficulties that beginners encounter when starting a game and the boredom that advanced players play, depending on the level of the user.

According to a first aspect of the present invention, a preset adjustment method for game balancing includes setting an intended game balancing attribute value and an attribute change size, playing a game using the game balancing attribute value, and Calculating a game balancing result element after playing, comparing the game balancing attribute value with the game balancing result element, and adjusting the game balancing attribute value based on the attribute change size according to the result of the comparison. Steps.

Here, the preset adjustment method further comprises the step of determining the importance of the game object balancing attribute, wherein the adjusting step is to adjust the game balancing attribute value according to the determined importance.

The adjusting may include setting a game balancing attribute list candidate, adjusting the game object balancing attribute included in the game balancing attribute list candidate, and adjusting the degree of change of the balancing using the game balancing result element. Determining the importance of the game object balancing attribute according to the measured change degree.

In the measuring of the degree of change, in the case of the mission clearing method, at least one of the time taken to clear the mission, the time of repeating the same action, and the opinion of the player is used as the game balancing result element.

The measuring of the degree of change may include at least one of a time taken until the decision of winning or losing, the probability of winning or losing, the difference in the attributes of the winner and the loser when the decision of winning or losing is determined, or the opinion of the player. One is used as the game balancing result element.

In the adjusting step, the game balancing attribute value is changed from the important one according to the importance level.

The preset adjustment method may further include resetting the attribute change magnitude after performing the adjusting step, replaying, calculating, and comparing the reproducing step according to the result of the comparison. Adjusting the game balancing attribute value based on the attribute change size.

As a second aspect of the present invention, a runtime game balancing adjustment method for game balancing includes: setting a preset of a game object property according to a user's level, collecting a user's behavior pattern or the balancing related property; And determining the level of the user by using the collected behavior pattern or balancing related attribute, and adjusting the game object property according to the determined level of the user.

Here, the determining may be inferred by the predefined behavior pattern, and the predefined behavior pattern is implemented by script or program code.

In the determining step, the result of learning the behavior pattern according to each level is compared with the result of collecting the behavior pattern in real time.

The determining may include determining a level of the user according to a clear time of the mission or the behavior pattern at the time of clearing the mission for determining the level of the user.

According to the present invention, a balancing preset is automatically adjusted, and balancing is automatically adjusted according to a user level during a game service. By automating balancing adjustments during the game development phase, you save time and money from balancing adjustments, and provide gamers with the balance they want, allowing game players to play with fun and immersion as planned. At the service level, by providing user-level balancing, it is possible to solve the difficulties that beginners encounter when starting a game and the boredom that a superior plays when depending on user level.

Hereinafter, some embodiments of the present invention will be described in detail with reference to the accompanying drawings. In addition, in describing the present invention, when it is determined that the detailed description of the related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

Adjusting a game's balancing presets means that the game is not too easy or too difficult based on a predetermined user level (eg beginner, intermediate, advanced, etc.) and maintains immersion while enjoying play time and difficulty as the planner intended. You can save the object properties according to the level in advance.

To do this, balancing is controlled by adjusting attributes of the game object (including AI of the game object). Here game object refers to all objects that affect the progress of the game. For example, in the case of block breaking games, in case of weapon items in the shooting game, in the case of role playing games (RPG), etc. It can be called a game object. Objects that do not affect game progress (eg screen brightness, loudness, etc.) are not included. The property of a game object is the property that is assigned to the game object. For example, weapon damage in shooting games includes HP (Hit Point). Artificial intelligence applied to a specific game object may also be regarded as a property according to the type. Some things can be game objects with only a single attribute (e.g. weather, time, etc.) affecting the game.

When using AI in the form of a game object, AI algorithm types (eg Neural Network: 1, hFSM: 2, etc.) or properties required for the operation of AI (eg Input Layer: 10, Hidden) Layer: 7, Output Layer: 10).

The present invention provides a preset adjustment method and a balancing adjustment method for balancing automation. In other words, we present a preset adjustment method that adjusts the preset to achieve the desired state balancing through game property adjustment, and a balancing adjustment method that grasps the user's level while playing the game and adjusts the balancing accordingly.

1 is a block diagram of a balancing control device capable of performing a preset adjustment method and a runtime game balancing adjustment method for game balancing according to an embodiment of the present invention.

As shown in this, the balancing control device for the present invention, the game balancing property calculation unit 110 for calculating the importance of the balancing property of the game object, and a preset control unit for adjusting the preset so that the desired state balancing through the game property adjustment 120, and a runtime game balancing controller 130 that grasps the player's level in real time during the game service and adjusts the balance accordingly.

The game balancing property calculator 110, the preset controller 120, and the runtime game balancing controller 130 may be implemented in an API (Application Programming Interface) form to be included in one game application or as a separate application to the outside. It can also be implemented in a plug-in fashion.

Game Object Balancing Attribute Importance refers to the degree to which the balancing changes when the attribute is changed among game object attributes. Therefore, in the case of a property of which the importance of the game balancing property is important, the balancing of the game is greatly changed by adjusting the property value rather than other properties, and thus the properties can be quickly caught.

Meanwhile, even if the game balancing property calculator 110 is excluded from the balancing control device of FIG. 1, a result of automatically adjusting the property for balancing according to the present invention may be derived. That is, even if the game object balancing property importance is not calculated, it takes a little longer to adjust the game balancing, and similarly, the property for balancing can be automatically adjusted.

Changes in game balancing can be detected by:

In the case of a mission-clearing game in which a game is played to perform a given task (mission, quest) between the player and the computer, a factor for detecting the balancing is the time required to clear the mission and the same action according to the skill of the player. Time, player opinions, etc.

In the case of a win-loss game between players and players, the factors for detecting balancing include the time taken for the decision of winning or losing, the probability of winning or losing, the difference between the winner and the loser's attributes when the winning decision is made (e.g., the difference in hit points). , Player opinions, and so on.

If such a factor is examined and the result of the balancing is different from the original intended value, it can be considered that the balancing has failed. This will halve the fun of the game and will not play it. Therefore, it should be kept at the value of intended balancing.

Hereinafter, a preset adjustment method and a runtime game balancing adjustment method for game balancing according to an embodiment of the present invention will be described with reference to FIGS. 2 and 3.

In the preset adjustment method for game balancing according to an embodiment of the present invention, as shown in FIG. 2, the step of setting a game balancing attribute list candidate (S201) and the game object balancing attribute included in the set game balancing attribute list candidate Adjusting (S203), measuring a change degree of balancing using a game balancing result element (S205), determining an importance of a game object balancing attribute according to the measured change degree (S207), The step of setting the intended game balancing value in advance (S209), the step of changing the game balancing value according to the importance and comparing with the game balancing result element (S211), and the game object balancing attribute using the compared game balancing value Adjusting (S213) and the like.

First, the operation of the game balancing attribute calculator 110 is as follows.

The game developer registers and sets a candidate group (including artificial intelligence), which may be a game object balancing property, in the game balancing property calculation unit 110 and sets (gets) a function interface (eg, SetHP). (), GetHP (), etc.) are provided (S201). In addition, it provides an interface for reporting to the game balancing attribute calculation unit 110 elements (mission clear time, win or lose time, etc.) that can detect the aforementioned balancing after play.

The game balancing attribute calculator 110 checks and measures the degree of change in balancing while adjusting attributes (S203) using the game attribute candidate list and interface given above (S205). At this time, the importance level is determined according to the degree of change in balancing according to the change in the attribute value. If the change of the balancing sensing elements is large when the specific attribute value is changed, the balancing importance of the attribute is determined to be high, and if the change of the balancing sensing elements is small when the attribute value is changed, the importance is determined to be low (S207).

The preset adjusting unit 120 is configured to achieve a desired balancing state through game property adjustment after the game balancing property importance is calculated by the game balancing property calculating unit 110.

The planner or the developer may set the state of the intended optimal balancing element, that is, the intended game balancing attribute value, through the interface to the preset adjusting unit 120, and set an initial value of the attribute change size for use in step S217. (S209). The game is played by the game balancing attribute value thus set.

The preset adjusting unit 120 calculates a game balancing result element after playing the game (S211) (S213), and compares the calculated game balancing result element with the game balancing attribute value set in step S209 (S215). ).

As a result of the comparison in step S215, if the game balancing result element and the game balancing attribute value match, the process ends without adjusting the game object balancing attribute value, but if the game balancing result element and the game balancing attribute value do not match, the attribute set in step S209 The game balancing attribute value is adjusted based on the initial value of the change size (S217). It is possible to increase or decrease the value of the game balancing property. For example, after checking the game result when the game balancing property value is increased and the game result when the game balancing property value is reduced, the difference between the desired balancing result value becomes smaller. You can adjust the attribute value with.

Next, in step S217, the attribute change size used for adjusting the game balancing attribute value is reset. That is, the size of the attribute change is reduced (S219).

Thereafter, steps S211, S213, S215, S217, and S219 are re-executed, and this re-execution is performed until the game balancing result element and the game balancing attribute value coincide. Of course, when performing step S219 again, the attribute value is adjusted using the attribute change magnitude value reset in the previous process.

The attribute change size value is initially set large so that the balancing changes greatly, and as it is repeated, the attribute change size value is decreased to gradually converge to a desired value. In this case, when the importance of the game object balancing property is determined in step S207, the game property balancing importance is changed first from the highest, and then adjusted so as to achieve the best balancing, and the fine balancing factor difference that cannot be adjusted by the property is in the order of the highest importance to the lowest. Decrease it by changing the value. The lower the importance of attribute balancing, the smaller the change in balancing, which enables fine tuning. Of course, if attribute balancing importance is not calculated, attribute values can be changed randomly or in order. Through this process, the preset controller 120 automatically adjusts the game balancing preset.

Runtime game balancing adjustment method for game balancing according to an embodiment of the present invention, as shown in Figure 3, the step of setting the preset of the game object properties according to the user's level (S301), the behavior pattern or balancing of the user Collecting a property (eg, game clear time, etc.) (S303), determining a user's level using the collected behavior pattern or balancing related property (S305), and a game object property according to the determined user's level Adjusting (S307) and the like.

The operation of the runtime game balancing adjusting unit 130 that performs the runtime game balancing adjusting method is as follows.

The runtime game balancing adjusting unit 130 determines whether the player is a beginner or an expert with the current game, or is familiar with the game interface operation. The user's level is determined in real time, and it is preferable to perform the game early, but it is possible even after the game is progressed to some extent.

There are many ways to determine the level of users.

First, we test some of the user's behavior patterns early and infer them. For example, older users may predefine basic gameplay patterns for game interfaces such as immature mouse double clicks, slow response, and immature keyboard controls. Beginners also spend a lot of time going in ways that planners don't predefine. These are various practical examples for judging the level of the user, and these can be implemented as script or program code beforehand and used as the basis for the level judgment.

The second way is to learn the player's behavior patterns for each level in advance and use the results. Learning is to store the player's behavior patterns and save the behavior patterns in a learned form using algorithms that can be learned such as neural network, support vector machine (SVM), neuro-fuzzy, etc. In real time, the player's behavioral pattern is used to determine which level is most similar to the previously learned pattern.

The third way is to set up a mission to determine the user's level, look at the clearing time of the mission and / or the user's behavior patterns when clearing it, and identify the level and therefore refer to the balancing settings in the game in the future. will be.

There may be various ways of determining the user level, and the three methods described are examples of how to determine the level. As described above, after setting the preset of the game object property according to the user level (S301), the user behavior pattern is collected (S303), and the level of the user is determined based on the collected user behavior pattern (S305).

The level of the user can be simply divided into upper, intermediate, and lower levels, and can be divided in more detail. For example, the level of the user can be determined by a real value between 0 and 1.

After judging the user's level in this way, balancing is set according to the level. Balancing is determined by adjusting game object properties (including artificial intelligence) (S307). This is to pre-define the game object properties according to the level of the player in the form of a script or database, and select the appropriate level when the level of the corresponding player is determined. You can also use the game balancing presets described earlier.

The preset adjustment method and the runtime game balancing adjustment method for game balancing according to the present invention can be created by a computer program. The code and code segments that make up this computer program can be easily deduced by a computer programmer in the field. In addition, the computer program is stored in a computer readable media, and read and executed by a computer to implement a preset adjustment method and a runtime game balancing adjustment method. The information storage medium includes a magnetic recording medium, an optical recording medium and a carrier wave medium.

So far, the present invention has been described with reference to some embodiments thereof. Those skilled in the art will appreciate that the present invention can be implemented in a modified form without departing from the essential features of the present invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the scope will be construed as being included in the present invention.

1 is a block diagram of a balancing control device capable of performing a preset adjustment method and a runtime game balancing adjustment method for game balancing according to an embodiment of the present invention;

2 is a flowchart illustrating a preset adjustment method for game balancing according to an embodiment of the present invention;

3 is a flowchart illustrating a runtime game balancing adjustment method according to an embodiment of the present invention.

<Explanation of symbols for the main parts of the drawings>

110: game balancing property calculation unit

120: preset adjustment unit

130: runtime game balancing control

Claims (12)

Setting an intended game balancing attribute value and attribute change size, Playing a game using the game balancing attribute value; Calculating a game balancing result element after playing the game, Comparing the game balancing attribute value with the game balancing result element; Adjusting the game balancing attribute value based on the attribute change size according to a result of the comparison. Preset adjustment method for a game balancing comprising a. The method of claim 1, The preset adjustment method, Determining the Importance of Game Object Balancing Attributes More, The adjusting of the game balancing attribute value may include adjusting the game balancing attribute value according to the determined importance. How to adjust presets for game balancing. The method of claim 2, Adjusting the game balancing attribute value, Setting a game balancing attribute list candidate; Adjusting the game object balancing attribute included in the game balancing attribute list candidate; Measuring a degree of change in balancing using the game balancing result element; Determining the importance of the game object balancing attribute according to the measured degree of change Preset adjustment method for a game balancing comprising a. The method of claim 3, wherein In the measuring of the degree of change, in the case of the mission clearing method, at least one of the time taken for the mission clearing, the time for repeating the same action, and the opinion of the player is used as the game balancing result element. How to adjust presets for game balancing. The method of claim 3, wherein The measuring of the degree of change may include at least one of a time taken until the decision of winning or losing, the probability of winning or losing, the difference in the attributes of the winner and the loser when the decision of winning or losing is determined, or the opinion of the player. Using one as the game balancing result element How to adjust presets for game balancing. The method according to claim 2 or 3, The adjusting of the game balancing attribute value may include changing the game balancing attribute value from the most important one according to the importance. How to adjust presets for game balancing. The method of claim 1, The preset adjustment method, Resetting the attribute change size after performing the adjusting of the game balancing attribute value; Replaying the game, calculating the game balancing result element, and comparing the game balancing attribute value with the game balancing result element, based on the magnitude of the attribute change by the reset according to the result of the comparison. Adjusting the game balancing attribute value Preset adjustment method for a game balancing comprising a. Setting presets of game object properties according to the user's level, Collecting behavior patterns or balancing related attributes of the user; Determining a level of a user by using the collected behavior pattern or the balancing related attribute; Adjusting game object properties according to the determined level of the user; Runtime game balancing adjustment method for game balancing comprising a. The method of claim 8, The determining of the user level may include determining the level of the user by comparing the collected behavior pattern with a predefined behavior pattern. How to adjust runtime game balancing for game balancing. The method of claim 9, The predefined behavior pattern is written in script or program code How to adjust runtime game balancing for game balancing. The method of claim 8, The determining of the level of the user may include determining a level of the user by comparing behavior patterns collected in real time with behavior patterns collected in real time. How to adjust runtime game balancing for game balancing. The method of claim 8, The determining of the level of the user may include determining a level of the user according to a clear time of the mission or the behavior pattern at the time of clearing the mission for determining the level of the user. How to adjust runtime game balancing for game balancing.

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