KR20230089036A - game server and method to provide match game service - Google Patents

Abstract

A method for providing a Baduk game service according to the present invention comprises: a step of receiving signals for selecting a Baduk game from first and second user terminals respectively corresponding to first and second user IDs, wherein the Baduk game is performed by using a Baduk map including a plurality of points; and a step of performing a Baduk game by alternatively performing the moves of the first user ID and the moves of the second user ID at a plurality of points in the Baduk map by communicating with the first and second user terminals. The step for performing the Baduk game comprises: a step of selecting at least two points in the Baduk map as candidate points to transmit the same to the first user terminal; a step of performing the moves of the first user ID at a candidate point selected when a signal for selecting one of the candidate points is received from the first user terminal; and a step of providing information related to the prediction value of the selected candidate point to the first user terminal. Therefore, understanding of the user regarding the Baduk game may be encouraged.

Description

Game server and method to provide match game service {game server and method to provide match game service}

The present invention relates to a game server and method for providing a game service through a network, and more particularly, to a game server and method for providing a game service using an artificial intelligence model.

As the use of user terminals such as smart phones, tablet PCs, PDAs (Personal Digital Assistants), notebooks, etc. has become popular and their information processing technology has improved, it is possible to use user terminals to play game services, for example, go. Artificial intelligence computers, which have been actively researched recently, are also being used for Go. In Go, since there are a wide variety of cases for chakjeom, there was a limit to implementing an artificial intelligence computer that performed a certain level of chakjeom, but the Monte Carlo Tree Search (MCTS) algorithm and deep learning algorithms As it is applied to artificial intelligence computers, artificial intelligence computers capable of performing very high-level landings are being developed.

On the other hand, in Go, as described above, there are many different numbers of points in the chakjeom, so it is a relatively difficult game for inexperienced users to play.

The above description is only intended to help understand the background of the technical ideas of the present invention, and therefore, it cannot be understood as the prior art known to those skilled in the art.

Embodiments of the present invention are to provide a game server and method for providing a game server and method that can encourage a user's understanding of the game while feeling more familiar and easy to the user. For example, the game server and method use the learned artificial intelligence model to recommend two or more candidate points having relatively high expected values to the user at the time of landing, and to determine which one of the candidate points is selected by the user. In response, while performing the chakjeom, it is possible to provide information related to the expected value of the selected candidate point to the user.

A method for providing a major game service according to an embodiment of the present invention includes receiving signals for selecting a major game from first and second user terminals corresponding to first and second user IDs, respectively; is performed using a large country map including a plurality of points; And proceeding with the game by communicating with the first and second user terminals and alternately performing the chakjeoms of the first user ID and the chakjeoms of the second user ID at the plurality of points of the game map. When performing at least one of the chakjeom of the first user ID: The game map according to the chakchak state on the game map using the learned artificial intelligence model determining expected values of the first user ID corresponding to unreached points of ; selecting two or more points of the major country map as candidate points according to the expected values and transmitting the selected points to the first user terminal; performing the landing of the first user ID on the selected candidate point when receiving a signal for selecting one of the candidate points from the first user terminal; and providing information associated with the expected value of the selected candidate point to the first user terminal.

Transmitting the candidate points to the first user terminal may include visualizing a graphical interface for activating the candidate points on the major country map and inactivating points other than the candidate points on the major country map to the first user terminal. can include

The candidate points may correspond to a predetermined number of highest expected values among the expected values corresponding to the unreached points of the major country map.

The candidate points may correspond to at least some of the highest expected values of a predetermined number among the expected values corresponding to the unreached points of the major country map.

The providing of the information associated with the expected value of the selected candidate point may include transmitting, to the first user terminal, ranking information of the selected candidate point among the candidate points according to the expected values. .

In the step of playing the game, determining the expected values of the first user ID, transmitting the candidate points to the first user terminal, performing the landing of the first user ID, And providing the information associated with the expected value of the selected candidate point to the first user terminal may be performed whenever each of the chakjeom of the first user ID is performed.

The step of proceeding with the game is when performing at least one of the landing points of the second user ID: an unreached point of the game map according to the state of the game map using the learned artificial intelligence model determining second expected values of the second user ID corresponding to ; selecting two or more points of the major country map as second candidate points according to the second expected values and transmitting the selected points to the second user terminal; performing the landing of the second user ID on the selected second candidate point when receiving a signal for selecting one of the second candidate points from the second user terminal; and providing information associated with the second expected value of the selected second candidate point to the second user terminal.

In the step of playing the game, determining the second expected values of the second user ID, transmitting the second candidate points to the second user terminal, performing the landing of the second user ID The step of doing, and the step of providing the information associated with the second expected value of the selected second candidate point to the second user terminal may be performed whenever each of the chakjeom of the second user ID is performed. .

Another aspect of the present invention relates to a game server for providing a game service of first and second user IDs over a network. The game server may include a communicator connected to the network; And at least one processor for providing the game by communicating with the first and second user terminals respectively corresponding to the first and second user IDs through the communicator, wherein the game includes a plurality of It is performed using a game map including points, and the at least one processor communicates with the first and second user terminals to determine the landing points of the first user ID on the plurality of points of the game map. The game is played by alternately performing the chakjeom of the and the second user ID, but when performing at least one of the chakjeom of the first user ID: chakjak on the game map using the learned artificial intelligence model determining expected values of the first user ID corresponding to unreached points of the major country map according to states; selecting two or more points of the major country map as candidate points according to the expected values and transmitting the selected points to the first user terminal; When receiving a signal for selecting one of the candidate points from the first user terminal, performing the landing of the first user ID on the selected candidate point while providing information associated with the expected value of the selected candidate point It is configured to provide to the first user terminal.

The information associated with the expected value of the selected candidate point may include ranking information of the selected candidate point among the candidate points according to the expected values.

According to embodiments of the present invention, a game server and method for providing a game server and method that can encourage a user's understanding of the game while making the user feel more familiar and easy can be provided.

1 is a block diagram showing a network system including a game server.
2 is a block diagram showing an embodiment of the game server of FIG. 1 according to an embodiment of the present invention.
FIG. 3 is a diagram showing an embodiment of a graphic interface displayed on first and second user terminals when a game is played by the game service unit of FIG. 2 .
FIG. 4 is a table showing an example of expected values determined by the initiation model apparatus of FIG. 2 and candidate points determined according to the expected values.
5 is a table showing another example of expected values determined by the initiation model apparatus of FIG. 2 and candidate points determined according to the expected values.
6 is a diagram illustrating an embodiment of a graphic interface displayed on a user terminal receiving candidate points.
7 is a diagram illustrating an embodiment of a graphical interface displaying information associated with expected values of candidate points.
8 is a view showing an embodiment of the initiation model device of FIG. 2 .
9 is a flow chart showing an embodiment of a method of providing a large game service by the game server of FIG. 1 .
FIG. 10 is a flowchart illustrating an embodiment of a method of operating a game server performed in the order of landing of a first user ID in step S120 of FIG. 9 .
FIG. 11 is a flowchart illustrating an embodiment of a method of operating a game server performed in the order of landing of a second user ID in step S120 of FIG. 9 .
FIG. 12 is a block diagram showing an embodiment of a computer device suitable for implementing the game server of FIG. 2 .

Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings. It should be noted that in the following description, only parts necessary for understanding the operation according to the present invention are described, and descriptions of other parts will be omitted in order not to obscure the subject matter of the present invention. In addition, the present invention may be embodied in other forms without being limited to the embodiments described herein. However, the embodiments described herein are provided to explain in detail enough to easily implement the technical idea of the present invention to those skilled in the art to which the present invention belongs.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected" but also the case where it is "indirectly connected" with another element interposed therebetween. . Terminology used herein is for describing specific embodiments and is not intended to limit the present invention. Throughout the specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated. "At least one of X, Y, and Z" and "at least one selected from the group consisting of X, Y, and Z" means one X, one Y, one Z, or two or more of X, Y, and Z It can be interpreted as any combination of more (e.g., XYZ, XYY, YZ, ZZ). Here, "and/or" includes any combination of one or more of the elements.

1 is a block diagram showing a network system including a game server.

Network system 100 may include a plurality of devices, servers, and/or software components that operate to perform various methods according to embodiments of the invention described herein. The devices and/or servers shown in FIG. 1 may be configured in different ways, and the operations and services provided by the devices and/or servers may be combined or separated for the embodiments described herein. and may be performed by more or fewer devices and/or servers. One or more devices and/or servers may be operated and/or maintained by the same or different entities.

Referring to FIG. 1 , a network system 100 may include a network 105 , a plurality of user terminals 111 and 112 , and a game server 120 .

Network 105 connects components in network system 100 such as user terminals 111 and 112 and game server 120 . Network 105 may include at least one of a public network, at least one private network, a wired network, a wireless network, any other suitable type of network, and combinations thereof. Each of the components in the network system 100 may include at least one of a wired communication function and a wireless communication function, and thus may communicate with each other through the network 105 .

Each of the user terminals 111 and 112 may communicate with the game server 120 through the network 105 . In embodiments, each of the user terminals 111 and 112 includes an application capable of interacting with the game server 120, and such an application, in response to user inputs, accesses the game server 120 to interact with the user. It is possible to perform various actions to open an ID and communicate with the game server 120 under the user ID to play a large game. In embodiments, the user ID may be an account registered in the game server 120 (or subscribing to a game service). In other embodiments, the user ID may be a client identifier that is determined and issued on a one-time (or temporarily) basis in order to participate in a game without registering an account. Figure 1 shows two user terminals 111 and 112 for convenience of description, but this is an example, and more user terminals access the game server 120 to operate for the game service described here. can perform them. Hereinafter, it is assumed that the first and second user terminals 111 and 112 access the high game server 120 using first and second user IDs, respectively.

As an embodiment, each of the first and second user terminals 111 and 112 is a computer, an Ultra Mobile PC (UMPC), a workstation, a net-book, a Personal Digital Assistants (PDA), and a portable computer. , web tablet, wireless phone, mobile phone, smart phone, e-book, portable multimedia player (PMP), portable game machine, etc. may include a device capable of transmitting and receiving in a wired and/or wireless environment.

The game server 120 communicates with the first and second user terminals 111 and 112 through the network 105 . The game server 120 may communicate with the first and second user terminals 111 and 112 to perform actions related to a large game. The large country game is performed using a large country map including a plurality of points, and may be performed by alternately performing the chakjeom of the first user terminal and the chakjeom of the second user ID on the large country map. According to an embodiment of the present invention, the game server 120 may select two or more points among unreached points at the time of landing of each user ID as candidate points and provide them to the corresponding user ID. Whether or not it corresponds to a relatively good chakjeom can be fed back to the user ID.

2 is a block diagram showing an embodiment of the game server of FIG. 1 according to an embodiment of the present invention. FIG. 3 is a diagram showing an embodiment of a graphic interface displayed on first and second user terminals when a game is played by the game service unit of FIG. 2 . FIG. 4 is a table showing an example of expected values determined by the initiation model apparatus of FIG. 2 and candidate points determined according to the expected values. FIG. 5 is a table showing another example of expected values determined by the initiation model device of FIG. 2 and candidate points determined according to the expected values. 6 is a diagram illustrating an embodiment of a graphic interface displayed on a user terminal receiving candidate points. 7 is a diagram illustrating an embodiment of a graphical interface displaying information associated with expected values of candidate points.

Referring to FIG. 2 , the game server 200 may include a communicator 210, a memory 220, a game service device 230, and an undertaking model device 240.

The communicator 210 may be configured to communicate with the first and second user terminals 111 and 112 (see FIG. 1) through the network 105 (see FIG. 1) in response to control of the game service device 230. . The communicator 210 transfers data and/or signals received through the network 105 to the game service device 230, and transmits data and/or signals received from the game service device 230 through the network 105. can be printed out.

The memory 220 stores and reads data in response to control of the game service device 230 . For example, the memory 220 may store chakjeom state data (MS) in response to control of the game service device 230 . In this way, the memory 220 may be used as a buffer memory of the game service device 230 . In embodiments, the storage medium 122 may include random access memory (RAM), read only memory (ROM), flash memory, hard disk, and other types of computer readable media. It may include at least one of possible media.

The game service device 230 may be connected to the communicator 210, the memory 220, and the launch model device 240 to control them. The game service device 230 may include a game service unit 231 , an expected value determination unit 232 , and a candidate point extraction unit 233 .

The game service unit 231 may communicate with the first and second user terminals 111 and 112 through the communicator 210 to play a large game. In embodiments, the game service unit 231 provides a list of major games to the first and second user terminals 111 and 112, and among the list from the first and second user terminals 111 and 112, respectively. A large-power game may be started between the first and second user IDs in response to receiving a signal for selecting the same large-power game.

The game service unit 231 may proceed with a large country game by alternately performing the points of the first user ID and the second user ID at the points of the large country map. Referring to FIG. 3 together with FIG. 2, stones (eg, black stones) of the first user ID and stones (eg, white stones) of the second user ID are attached to the game map (GM). this is placed In embodiments, the game map GM includes a plurality of points where horizontal lines in the X direction and vertical lines in the Y direction intersect. For example, it may include 361 points defined by crossing 19 horizontal lines and 19 vertical lines. In this way, the position of each point may be defined as a coordinate in the X direction and a coordinate in the Y direction. As the landing of the first user ID and the landing of the second user ID are repeated, the number of landing points (OP) will increase, and the number of unreaching points (UOP) will decrease. The game service unit 231 converts information on the points OP and/or unreached points UOP of the first and second user IDs on the game map GM into point state data MS. The memory 220 can be updated. In embodiments, the game service unit 231 may update the chakjeom state data (MS) whenever the chakjeom of each of the first and second user IDs is performed.

The game service unit 231 recommends two or more points (for example, three points) among the unreached points as candidate points in the turn of each user ID, and selects one of the recommended candidate points. When is selected and the landing point is performed, it is possible to feedback whether the landing point is relatively good (or advantageous). In these operations, the game service unit 231 may call the expected value determination unit 232 and the candidate point extraction unit 233. Hereinafter, for convenience of description, operations of the game service unit 231, the expected value determination unit 232, and the candidate point extraction unit 233 in the order of arrival of the first user ID will be described. Such operations may be similarly performed even in the turn of the second user ID.

The expected value determination unit 232 may determine expected values (EVS) of the first user ID corresponding to unreached points on the major country map (GM, see FIG. 3) using the start model device 240. . Expected value determining unit 232 may enable the undertaking model device 240, and provide the chakjeom state data (MS) indicating the chakjeom state of the game map (GM) to the undertaking model device 240.

The undertaking model device 240 may include an artificial intelligence model 241 and an artificial intelligence processor 242 . The artificial intelligence processor 242 responds to the request of the expected value determining unit 232, using the learned artificial intelligence model 241, the first user corresponding to the unreached points according to the landing state data MS. Expected values EVS of the ID may be generated, and the generated expected values EVS of the first user ID may be provided to the expected value determiner 232 . In embodiments, the expected value may include a value representing a probability and/or an expected win rate that the first user ID wins in the game when landing at each unlanded point. Accordingly, by referring to the expected values (EVS) of unlanded points, it can be determined which point is a good number to win the game. In this way, the artificial intelligence model 241 can be learned to output various types of data corresponding to each point that has not been landed when inputting the landing state data (MS), and the output data is expected values (EVS) can be provided as

Referring to FIG. 4 together with FIG. 2 , coordinates of some of the unreached points UOP and expected values EVS corresponding thereto are illustrated. The first expected value EV1 is at the first coordinates (Xa, Xb), the second expected value EV2 is at the second coordinates (Xc, Xd), and the third expected value EV3 is at the third coordinates (Xe, Xd). Yf), the fourth expected value EV4 is at the fourth coordinates (Xg, Yh), the fifth expected value EV5 is at the fifth coordinates (Xi, Yj), and the sixth expected value EV6 is at the sixth coordinates (Xg, Yh). Corresponds to the coordinates (Xk, Yl) (a, b, c, d, e, f, g, h, i, j, k, l each an integer greater than or equal to 1 and less than or equal to 19). The candidate point extraction unit 233 (refer to FIG. 2 ) may sort the unreached points UOP in the order of higher expected values. Accordingly, the first to sixth coordinates of FIG. 4 are six unreached points UOP having the highest six expected values EV1 to EV6, and the first to sixth expected values EV1 to EV6 EV6) may be sequentially decreasing values.

The candidate point extraction unit 233 selects a predetermined number (eg, 3) of the unreached points UOP having the highest expected values EV1 to EV6 to determine the candidate points CPNT. can be determined by For example, the candidate point extraction unit 233 may select unreached points UOP having three highest expected values as the candidate points CPNT. Accordingly, the first coordinates Xa and Xb, the second coordinates Xc and Xd, and the third coordinates Xe and Yf may be selected as candidate points CPNT. For example, as shown in FIG. 5, the candidate point extraction unit 233 selects unreached points UOP having first, fourth, and fifth expected values EV1, EV4, and EV5 as candidates. It can be selected as points (CPNT'). Accordingly, the first coordinates (Xa, Xb), the fourth coordinates (Xg, Xh), and the fifth coordinates (Xi, Yj) may be selected as candidate points CPNT'.

The game service unit 231 may transmit the candidate points to the first user terminal 111 and allow the first user terminal 111 to visualize the candidate points on the game map GM. Referring to FIG. 6 together with FIG. 2, the first to third candidate points on the game map (GM) displayed on the first user terminal 111, for example, coordinates (X3, Y3), coordinates (X16, Y5) ), and the first candidate object OBJ1, the second candidate object OBJ2, and the third candidate object OBJ3 are displayed at coordinates (X3, Y8), respectively. Among the first to third candidate points, the first candidate point may have the highest expected value, the second candidate point may have the next highest expected value, and the third candidate point may have the lowest expected value. The first to third candidate points may be, for example, candidate points CPNT of FIG. 4 . The first to third candidate points may be, for example, candidate points CPNT′ of FIG. 5 .

In embodiments, the game service unit 231 activates the first to third candidate points on the game map GM to be selected, and the other coordinates (or points) on the game map GM are selected. The first user terminal 111 may be commanded to display a graphic interface that is disabled so as not to be displayed.

The user may select one of the first to third candidate points, for example, a second candidate point corresponding to the second candidate object OBJ2 through the displayed graphic interface, and the first user terminal 111 Information on the second candidate point may be transmitted to the game server 200 .

The game service unit 231 may place the first user ID on the selected candidate point. For example, the landing of the first user ID may be performed at the coordinates (X16, Y5) of the second candidate point, and the performed landing may be displayed on the first and second user terminals 111 and 112. there is.

According to an embodiment of the present invention, after the first user ID is settled, the game service unit 231 determines the expected value of the selected candidate point and/or the expected values of all candidate points (eg, FIG. 4 ). Information related to EV1 , EV2 , and EV3 may be provided to the first user terminal 111 .

The game service unit 231 may provide the first user terminal 111 with a ranking of a selected candidate point among candidate points according to expected values. Furthermore, the game service unit 231 may provide the first user terminal 111 with a ranking of each of the candidate points according to expected values. For example, as shown in FIG. 7 , a first priority object ROBJ1 , a second priority object OBJ2 , and a third priority object ROBJ3 may be displayed at the first to third candidate points, respectively. there is. A star indicates that the candidate point has the highest expected value among candidate points, a square indicates that the corresponding candidate point has the second highest expected value among candidate points, and a triangle indicates that the corresponding candidate point has the second highest expected value among candidate points. It can indicate that it has the lowest expected value. Accordingly, the user of the first user ID can know that the second candidate point has the second highest expected value among the first to third candidate points. Considering that a large country game (e.g., a Go game) played using a large country map including a plurality of points is a relatively difficult game for inexperienced users to play, a candidate with relatively high expected values. While recommending points to the user, information related to the expected value of the candidate point selected by the user (for example, the ranking of the selected candidate point among the candidate points) is fed back to the user, allowing the user to feel the game more familiar and easy. While doing so, it is possible to encourage understanding of the game of great powers.

The first to third ranking objects ROBJ1 to ROBJ3 may be visualized in various ways suitable for expressing rankings according to expected values of the first to third candidate points. For example, the first to third priority objects ROBJ1 to ROBJ3 may be represented by blue color, green color, and red color, respectively. For example, the first to third ranked objects ROBJ1 to ROBJ3 may include the text "excellent", the text "good", and the text "bad", respectively.

In addition, information associated with various types of expected values may be provided to the first user terminal 111 . In embodiments, each expected value may include a probability of winning a game or an expected win rate when landing on a corresponding candidate point. In this case, when landing at the selected candidate point, the probability of winning the game or the expected odds may be transmitted to the first user terminal 111 . The game service unit 231 may accumulate and display probabilities or expected odds on the odds graph displayed on the first user terminal 111 whenever a first user ID is settled.

8 is a view showing an embodiment of the initiation model device of FIG. 2 .

Referring to FIG. 8 , the initiation model device 300 may include an artificial intelligence model 310 and an artificial intelligence processor 320. The artificial intelligence model 310 and the artificial intelligence processor 320 may be provided as the artificial intelligence model 241 and the artificial intelligence processor 242 of FIG. 2 , respectively.

The artificial intelligence model 310 will be pre-learned to output expected values (EVS) of user IDs (eg, the first user ID) corresponding to non-landing points when inputting the landing state data (MS). can In embodiments, the artificial intelligence model 310 may include one or more neural networks, and may learn landing state data and expected values corresponding to unreached points in advance.

The artificial intelligence processor 320 is configured to control the artificial intelligence model 310 . The artificial intelligence processor 320 may include a data learning unit 321 and a data processing unit 322 . In embodiments, the data learning unit 321 uses learning data including landing state data and expected values corresponding to non-landing points, and when the landing state data of the learning data is input, the corresponding expected values of the learning data The artificial intelligence model 310 can be trained to be output. In embodiments, the expected value may include a value representing a probability that the corresponding user ID wins in a large country game when landing at each unlanded point and/or a value representing an expected win rate. Referring to the expected values (EVS) of unreached points, which points are good numbers for the corresponding user ID can be sequentially sorted as shown in the tables of FIGS. 4 and 5 .

In embodiments, the data learning unit 321 may provide training data to the artificial intelligence model 310 by performing a Monte Carlo Tree Search (MCTS) operation. For example, the data learning unit 321 receives expected values output from the artificial intelligence model 310 and, based on the expected values, performs a Monte Carlo Tree Search (MCTS) operation to artificially regenerate the obtained data. It can be used as training data of the intelligence model 310. Regarding this learning method, Publication No. 10-2021-0009588 is incorporated herein by reference.

The data processing unit 322 may acquire expected values (EVS) of user IDs corresponding to non-arrived points by inputting point state data (MS) to the learned artificial intelligence model 310 . The data processing unit 322 may provide the output expected values (EVS) to the expected value determining unit 232 of FIG. 2 , and the candidate point extracting unit 233 of FIG. As shown, the expected values (EVS) may be sorted in descending order.

In embodiments, the artificial intelligence model 310 and the artificial intelligence processor 320 may be implemented as a processor and a memory. A processor may include one or more cores, such as single core, dual core, quad core, etc. The processor may provide each of the artificial intelligence model 310 and the artificial intelligence processor 320 by loading programs and/or instructions into memory and executing the loaded programs and/or instructions.

9 is a flow chart showing an embodiment of a method of providing a large game service by the game server of FIG. 1 .

Referring to FIGS. 1 and 9 , in step S110, the game server 120 may receive signals for selecting the same large-country game from the first and second user terminals 111 and 112. In this case, the first and second user terminals 111 and 112 may correspond to the first and second user IDs, respectively.

In step S120, the game server 120 may proceed with the game by alternately performing the chakjeom of the first user ID and the chakjeom of the second user ID. The game server 120 will perform each chakjeom of the first user ID by communicating with the first user terminal 111 and perform each chakjeom of the second user ID by communicating with the second user terminal 112 .

FIG. 10 is a flowchart illustrating an embodiment of a method of operating a game server performed in the order of landing of a first user ID in step S120 of FIG. 9 .

Referring to FIGS. 1 and 10 , in step S210, the game server 120 performs step S220 when the order of the first user ID is placed. In step S220, the game server 120 determines expected values (hereinafter, first expected values) of first user IDs corresponding to unreached points according to the landing state of the game map using the learned artificial intelligence model. do. In this case, the first expected value may include a value representing a probability that the first user ID wins in the game when the first user ID is landed at each unlanded point and/or a value representing an expected win rate.

In step S230, the game server 120 selects two or more points among the unreached points as candidate points according to the first expected values. In embodiments, the game server 120 selects a predetermined number of unreached points having the highest first expected values as candidate points (eg, see CPNT in FIG. 4 or CPNT' in FIG. 5). You can choose.

In step S240, the game server 120 transmits the candidate points to the first user terminal 111 so that the candidate points on the game map, such as the first to third candidate objects COBJ1 to COBJ3 in FIG. to be displayed on the terminal 111.

In step S250, the game server 120 performs steps S260 or S270 according to whether or not a signal for selecting one of the candidate points is received from the first user terminal 111 within a predetermined time (eg, 30 seconds). can be done

In step S260, the game server 120 performs landing of the first user ID on the selected candidate point. In step S270, the game server 120 determines the first user ID on the candidate point having the lowest first expected value among the candidate points. In this way, if the first user ID does not select any one of the candidate points within a predetermined time, the first user ID may be disadvantaged.

In step S280, the game server 120 transmits information associated with first expected values of candidate points, including the landed candidate point, to the first user terminal 111 and displays the information. In embodiments, a relative rank of each of the candidate points according to the first expected values may be provided to the first user terminal 111 . For example, the game server 120 may command the first user terminal 111 to display the first to third priority objects ROBJ1 to ROBJ3 on the candidate points, respectively, as shown in FIG. 7 . .

Considering that a game of a game using a game map including a plurality of points is too difficult for an inexperienced user to use, candidate points having relatively high expected values are recommended to the user while the user By feeding back information related to the expected value of the selected candidate point to the user, it is possible to encourage the user to understand the game while making the user feel more familiar and easy.

FIG. 11 is a flowchart illustrating an embodiment of a method of operating a game server performed in the order of landing of a second user ID in step S120 of FIG. 9 .

Referring to FIGS. 1 and 11 , in step S310, the game server 120 performs step S320 when the order of the second user ID is placed. In step S320, the game server 120 determines expected values (hereinafter referred to as second expected values) of second user IDs corresponding to unreached points according to the state of landing points on the game map using the learned artificial intelligence model. do. In this case, the second expected value may include a probability value representing the probability that the second user ID wins in the game when the second user ID is landed at each unlanded point and/or a value representing the expected win rate.

In step S330, the game server 120 selects two or more points among the unreached points as candidate points according to the second expected values. In step S340, the game server 120 transmits the candidate points to the second user terminal 112 so that the candidate points on the game map are displayed on the second user terminal 112.

In step S350, the game server 120 may perform step S360 or step S370 according to whether or not a signal for selecting one of the candidate points is received from the second user terminal 112 within a predetermined time.

In step S360, the game server 120 performs landing of the second user ID on the selected candidate point. In step S370, the game server 120 determines the second user ID on the candidate point having the lowest second expected value among the candidate points. In step S380, the game server 120 transmits information related to the second expected values of the candidate points, including the landed candidate point, to the second user terminal 112 and displays the information.

In this way, the game server 120 may operate in the same way as the operations for the chakjeom of the first user ID with respect to the chakjeom of the second user ID.

FIG. 12 is a block diagram showing an embodiment of a computer device suitable for implementing the game server of FIG. 2 .

Referring to FIG. 12, a computer device 1000 includes a bus 1100, at least one processor 1200, a system memory 1300, a storage interface (I/F) 1400, a communication interface 1500, and a storage medium. 1600, communicator 1700, and launch model device 1800.

The bus 1100 is connected to various components of the computer device 1000 to transfer data, signals, and information. The processor 1200 may be either a general purpose or a dedicated processor, and may control overall operations of the computer device 1000 .

The processor 1200 is configured to load program codes and instructions providing various functions into the system memory 1300 when executed, and to process the loaded program codes and instructions. The system memory 1300 may be provided as a working memory of the processor 1200 . As an embodiment, the system memory 1300 may include at least one of a random access memory (RAM), a read only memory (ROM), and other types of computer-readable media.

The processor 1200 may load the game service module 1310 , which provides functions of the game service device 230 of FIG. 2 , into the system memory 1300 when executed by the processor 1200 . Such program codes and/or instructions may be executed by the processor 1200 to perform functions and/or operations of the game service device 230 described with reference to FIG. 2 . To perform such functions and/or operations, the game service module 1310 executed by the processor 1200 may utilize components of the computer device 1000, such as the storage interface 1400 and the communication interface 1500. can For example, the game service module 1310 may use the communicator 1700 through the communication interface 1500 . The processor 1200 may load an operating system into the system memory 1300 and execute the loaded operating system, and the operating system may configure components of the computer device 1000 such as the storage interface 1400 and the communication interface 1500 A usable environment (or interface) may be provided to the game service module 1310 .

The game service module 1310 may be loaded into the system memory 1300 from the storage medium 1600, which is a recording medium readable by a separate computer. Alternatively, the game service module 1310 may be loaded into the system memory 1300 from the outside of the computer device 1000 through the communicator 1700 . In addition, the system memory 1300 may function as a buffer memory for the game service module 1310. For example, the system memory 1300 may function as the memory 220 of FIG. 2 , in this case the system memory 1300 may store the chakjeom state data (MS) of FIG. 2 .

In FIG. 11 , the system memory 1300 is shown as a separate configuration from the processor 1200 , but at least a portion of the system memory 1300 may be included in the processor 1200 . The system memory 1300 may be provided as a plurality of memories physically and/or logically separated from each other according to embodiments.

The storage interface 1400 is connected to the storage medium 1600 . The storage interface 1400 may interface between components such as the processor 1200 and the system memory 1300 connected to the bus 1100 and the storage medium 1600 . The communication interface 1500 is coupled to the communicator 1700 . The communication interface 1500 may interface between components connected to the bus 1100 and the communicator 1700 .

The storage medium 1600 may include various types of nonvolatile storage media, such as a flash memory and a hard disk, which retain stored data even when power is cut off.

The communicator 1700 (or transceiver) may send and receive signals between the computer device 1000 and other devices and/or servers in the network system 100 (see FIG. 1) over the network 105 (see FIG. 1). . Communicator 1700 can function as communicator 210 in FIG. 2 .

The initiation model device 1800 is connected to the bus 1100 and may function as the initiation model device 240 of FIG. 2 . The game service module 1310 executed by the processor 1200 may access the launch model device 1800 through the bus 1100, and the user ID corresponding to the unreached points from the launch model device 1800. Expected values (EVS, see FIG. 2) of can be obtained. In embodiments, the initiation model device 1800 may be implemented with a processor and memory separate from the processor 1200 and system memory 1300 . In another embodiment, the initiation model device 1800 may be implemented as the processor 1200 and the system memory 1300, in which case the initiation model device 1800 is provided as program codes and / or instructions to the system memory ( 1300 and can be executed by the processor 1200.

In some embodiments, the bus 1100, the processor 1200, and the system memory 1300 may be integrated into a single board 1050 or a semiconductor chip. In embodiments, the board 1050 may further include a storage interface 1400 , a communication interface 1500 , and an initiation model device 1800 .

Although specific embodiments and application examples have been described herein, they are only provided to help a more general understanding of the present invention, the present invention is not limited to the above embodiments, and those of ordinary skill in the field to which the present invention belongs Numerous modifications and variations are possible from this description when grown.

Therefore, the spirit of the present invention should not be limited to the described embodiments, and it will be said that not only the claims to be described later, but also all modifications equivalent or equivalent to these claims belong to the scope of the present invention. .

111, 112: first and second user terminals
120, 200: game server
210: communicator
220: memory
230: game service device
240: launch model device

Claims (10)

In the method of providing game service:
Receiving signals for selecting a major game from first and second user terminals corresponding to first and second user IDs, respectively, wherein the major game is performed using a large country map including a plurality of points, ; and
Progressing the game by communicating with the first and second user terminals and alternately performing the chakjeom of the first user ID and the chakjeom of the second user ID at the plurality of points of the multinational map Including,
When performing at least one of the chakjeom of the first user ID:
Determining expected values of the first user ID corresponding to unreached points of the major country map according to the state of landing points on the major country map using the learned artificial intelligence model;
selecting two or more points of the major country map as candidate points according to the expected values and transmitting the selected points to the first user terminal;
performing the landing of the first user ID on the selected candidate point when receiving a signal for selecting one of the candidate points from the first user terminal; and
and providing information associated with the expected value of the selected candidate point to the first user terminal. According to claim 1,
Transmitting the candidate points to the first user terminal comprises:
and visualizing, on the first user terminal, a graphical interface for activating the candidate points on the major country map and inactivating points other than the candidate points on the major country map. According to claim 1,
The candidate points correspond to a predetermined number of highest expected values among the expected values corresponding to the unreached points of the major country map. According to claim 1,
The candidate points correspond to at least some of the highest expected values of a predetermined number among the expected values corresponding to the unreached points of the major country map. According to claim 1,
The providing of the information associated with the expected value of the selected candidate point includes transmitting, to the first user terminal, ranking information of the selected candidate point among the candidate points according to the expected values. According to claim 1,
In the step of playing the game, determining the expected values of the first user ID, transmitting the candidate points to the first user terminal, performing the landing of the first user ID, and providing the information associated with the expected value of the selected candidate point to the first user terminal is performed whenever each of the chak-points of the first user ID is performed. According to claim 1,
When performing at least one of the chakjeom of the second user ID:
Determining second expected values of the second user ID corresponding to unreached points of the major country map according to the state of landing points on the major country map using the learned artificial intelligence model;
selecting two or more points of the major country map as second candidate points according to the second expected values and transmitting the selected points to the second user terminal;
performing the landing of the second user ID on the selected second candidate point when receiving a signal for selecting one of the second candidate points from the second user terminal; and
The method further comprising providing information associated with the second expected value of the selected second candidate point to the second user terminal. According to claim 7,
In the step of playing the game, determining the second expected values of the second user ID, transmitting the second candidate points to the second user terminal, performing the landing of the second user ID The step of doing, and the step of providing the information associated with the second expected value of the selected second candidate point to the second user terminal are performed whenever each of the chakjeom of the second user ID is performed. In a game server for providing a game service of first and second user IDs through a network:
a communicator connected to the network; and
And at least one processor for providing the game by communicating with first and second user terminals respectively corresponding to the first and second user IDs through the communicator,
The large country game is performed using a large country map including a plurality of points,
The at least one processor,
Progressing the game by communicating with the first and second user terminals and alternately performing the chakjeoms of the first user ID and the chakjeoms of the second user ID at the plurality of points of the powers map; , when performing at least one of the above points of the first user ID:
Determining expected values of the first user ID corresponding to unreached points of the major country map according to the state of landing points on the major country map using the learned artificial intelligence model;
selecting two or more points of the major country map as candidate points according to the expected values and transmitting the selected points to the first user terminal;
When receiving a signal for selecting one of the candidate points from the first user terminal, performing the landing of the first user ID on the selected candidate point while providing information associated with the expected value of the selected candidate point A game server configured to provide the game to the first user terminal. According to claim 9,
The information associated with the expected value of the selected candidate point includes ranking information of the selected candidate point among the candidate points according to the expected values.

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