Program, method, information processing device and system

Abstract

It is possible to provide an objective evaluation index that can be referred to when purchasing a newly released gaming machine. [Solution] The program is a program to be executed by a computer having a processor and a memory, and the program causes the processor to execute the following steps: storing first basic information of a first gaming machine after operation, first predicted evaluation information of the first gaming machine, and first actual performance evaluation information of the first gaming machine; acquiring third basic information and third actual performance evaluation information of a third gaming machine after operation that is different from the first gaming machine; inputting the acquired third basic information and third actual performance evaluation information into a second trained model trained based on the first basic information, the first predicted evaluation information, and the first actual performance evaluation information, thereby outputting predicted price information of the third gaming machine; and presenting the output predicted price information.

Description

[Technical Field]

[0001] The present disclosure relates to a program, a method, an information processing device, and a system. [Background technology]

[0002] Patent Document 1 describes the provision of a gaming device that can accurately analyze and evaluate gaming machines. In Patent Document 1, simulation results calculated by simulation are simultaneously displayed so that they can be compared with budget plans, machine types, target values, and actual values, so that managers of gaming facilities can easily recognize the relationships between the simulation results and budget plans, machine types, target values, actual values, etc. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-180995 Summary of the Invention [Problem to be solved by the invention]

[0004] When purchasing a newly released gaming machine, the purchasing staff basically makes a subjective decision on the introduction of the gaming machine based on the relationship between the new gaming machine and past gaming machines, etc. There is a need for an objective evaluation index that can be used as a reference when purchasing a new gaming machine.

[0005] An object of the present disclosure is to provide an objective evaluation index that can be used as a reference when purchasing a newly released gaming machine. [Means for solving the problem]

[0006] In order to solve the above problem, one embodiment of the program of the present disclosure is a program to be executed by a computer having a processor and a memory, and the program causes the processor to execute the following steps: storing first basic information of a first gaming machine after operation, first predicted evaluation information of the first gaming machine, and first performance evaluation information of the first gaming machine; acquiring third basic information and third performance evaluation information of a third gaming machine after operation that is different from the first gaming machine; inputting the acquired third basic information and third performance evaluation information into a second trained model trained based on the first basic information, the first predicted evaluation information, and the first performance evaluation information, thereby outputting predicted price information of the third gaming machine; and presenting the output predicted price information. [Effects of the Invention]

[0007] According to the present disclosure, it is possible to provide objective evaluation indicators that can be used as a reference when purchasing a newly released gaming machine. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing an example of the overall configuration of a system 1. FIG. [Figure 2] 2 is a diagram illustrating an example of a functional configuration of a business operator terminal 10 illustrated in FIG. [Figure 3] 2 is a diagram illustrating an example of a functional configuration of a server 20 shown in FIG. [Figure 4] FIG. 10 is a diagram showing the data structure of a gaming machine information table 2021. [Figure 5] FIG. 10 is a diagram showing the data structure of a gaming machine prediction and performance information table 2022. [Figure 6] 10 is a diagram showing the data structure of a new gaming machine information table 2023. FIG. [Figure 7] 10 is a flowchart showing an example of the learning processing operation of the first trained model 2024. [Figure 8] 10 is a flowchart showing an example of the learning processing operation of the second trained model 2025. [Figure 9]10 is a flowchart showing an example of a predictive evaluation operation of a new gaming machine before it is put into operation. [Figure 10] 10 is a flowchart showing an example of predicted price behavior in the resale of a gaming machine after it is put into operation. [Figure 11] 2 is a schematic diagram showing an example of a display screen of a display 141 of a business operator terminal 10. FIG. [Figure 12] 2 is a schematic diagram showing an example of a display screen of a display 141 of a business operator terminal 10. FIG. [Figure 13] FIG. 2 is a block diagram showing the basic hardware configuration of a computer 90. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In all drawings describing the embodiments, common components are designated by the same reference numerals, and repeated description will be omitted. Note that the following embodiments do not unduly limit the content of the present disclosure described in the claims. Furthermore, not all components shown in the embodiments are necessarily essential components of the present disclosure. Furthermore, each drawing is a schematic diagram and is not necessarily a precise illustration.

[0010] In the following description, a "processor" refers to one or more processors. The at least one processor is typically a microprocessor such as a CPU (Central Processing Unit), but may also be another type of processor such as a GPU (Graphics Processing Unit). The at least one processor may be single-core or multi-core.

[0011] Furthermore, the at least one processor may be a processor in the broad sense, such as a hardware circuit (for example, a field-programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) that performs part or all of the processing.

[0012] In the following explanation, information that produces an output in response to an input may be described using the expression "xxx database," but this information may be data of any structure, or may be a learning model such as a neural network that produces an output in response to an input. Therefore, "xxx database" may be referred to as "xxx information."

[0013] Furthermore, in the following description, the configuration of each database is an example, and one database may be divided into two or more databases, or all or part of two or more databases may be one database.

[0014] In addition, in the following explanation, processing may be described using the "program" as the subject, but since a program is executed by a processor to perform specified processing while appropriately using a memory unit and / or an interface unit, etc., the subject of the processing may also be the processor (or a device such as a controller that has that processor).

[0015] The program may be installed in a device such as a computer, or may be stored in, for example, a program distribution server or a computer-readable (e.g., non-transitory) recording medium. Also, in the following description, two or more programs may be realized as one program, or one program may be realized as two or more programs.

[0016] Furthermore, in the following description, identification numbers are used as identification information for various objects, but other types of identification information (for example, identifiers including alphabetic characters or symbols) may also be used.

[0017] In addition, in the following description, when describing elements of the same type without distinguishing between them, reference symbols (or common symbols among the reference symbols) may be used, and when describing elements of the same type with distinction between them, the identification numbers (or reference symbols) of the elements may be used.

[0018] In the following description, the control lines and information lines are those that are considered necessary for the description, and do not necessarily represent all the control lines and information lines in the product. All components may be interconnected.

[0019] Each information processing device is configured by a computer equipped with an arithmetic unit and a storage device. The basic hardware configuration of the computer and the basic functional configuration of the computer realized by the hardware configuration will be described later. For the server 20 and the operator terminal 10, descriptions that overlap with the basic hardware configuration and basic functional configuration of the computer will be omitted.

[0020] <Summary> The system according to this embodiment has the function of objectively and appropriately predicting and evaluating a new second gaming machine before it is put into operation (e.g., before it is released). The system stores first basic information of a first gaming machine after it is put into operation (either during operation or after operation has been completed), first predicted evaluation information of the first gaming machine, and first performance evaluation information of the first gaming machine, and trains a trained model based on this information. The system acquires second basic information of a second gaming machine before it is put into operation and inputs this information into the trained model, thereby outputting second predicted evaluation information of the second gaming machine and presenting it to the operator.

[0021] The first basic information includes, for example, the specifications (performance, specifications, etc.) of the first gaming machine, gameplay (bonus probability, bonus details, content, etc.), coin price, price, manufacturer, etc. The first basic information may also include, for example, the manufacturing date and release date of the first gaming machine. The first predicted evaluation information includes, for example, scores for multiple evaluation items and an overall score. The multiple evaluation items include, for example, predicted design scores (scores for presentation, popularity, content, concept, number of units sold, timing, specifications, etc.) and predicted performance scores (predicted contribution weeks, predicted contribution gross profit, etc.). The first performance evaluation information includes, for example, actual performance scores (actual contribution weeks, actual contribution gross profit).

[0022] According to the system of this embodiment, it is possible to predict objective evaluation indicators that can be used as a reference when purchasing a newly released gaming machine, and it becomes possible to consider purchasing a new gaming machine based on the prediction results.

[0023] <1 Overall system configuration> Fig. 1 is a block diagram showing an example of the overall configuration of a system 1. The system 1 shown in Fig. 1 includes, for example, a business operator terminal 10, a server 20, gaming machines 30, and an amusement facility system 40. The business operator terminal 10, the server 20, the gaming machines 30, and the amusement facility system 40 are communicatively connected via, for example, a network 80.

[0024] 1 shows an example in which the system 1 includes one operator terminal 10, but the number of operator terminals 10 included in the system 1 is not limited to one. The number of operator terminals 10 included in the system 1 may be two or more.

[0025] 1 shows an example in which the system 1 includes one gaming machine 30, the number of gaming machines 30 included in the system 1 is not limited to one. The number of gaming machines 30 included in the system 1 may be two or more.

[0026] In this embodiment, a collection of multiple devices may be considered as one server. The allocation of multiple functions required to realize the server 20 according to this embodiment to one or more pieces of hardware can be determined appropriately in consideration of the processing capacity of each piece of hardware and / or the specifications required for the server 20.

[0027] The operator terminal 10 shown in FIG. 1 is, for example, an information processing device operated by each person in charge of an operator that operates an amusement facility using gaming machines. The operator terminal 10 receives various information and instructions from the operator and transmits the input information to the server 20. The operator terminal 10 displays predicted evaluation information and actual evaluation information regarding the gaming machines from the server 20. The operator terminal 10 is realized, for example, by a stationary PC (Personal Computer), a laptop PC, or the like. The operator terminal 10 may also be realized by a mobile terminal such as a smartphone or a tablet. The operator includes, for example, an amusement facility such as a pachinko parlor or a game center. The operator may also be an operator that operates a business using gaming machines other than an amusement facility.

[0028] The operator terminal 10 includes a communication IF (Interface) 12, an input device 13, an output device 14, a memory 15, a storage 16, and a processor 19. The input device 13 is a device for receiving input operations from a user (for example, a touch panel, a touch pad, a pointing device such as a mouse, a keyboard, etc.). The output device 14 is a device for presenting information to a user (a display, a speaker, etc.).

[0029] The server 20 is, for example, an information processing device that provides a service of objectively and appropriately predicting and evaluating a new gaming machine before it is put into operation (e.g., before it is released). The server 20 stores, for example, information about a first gaming machine after it is put into operation, and stores an AI that has been trained using that information. The server 20 inputs basic information about a new second gaming machine before it is put into operation into the AI, and outputs second predicted evaluation information about the new second gaming machine and presents it to the operator.

[0030] The server 20 is, for example, an information processing device realized by a computer connected to a network 80. As shown in Fig. 1, the server 20 includes a communication IF 22, an input / output IF 23, a memory 25, a storage 26, and a processor 29. The input / output IF 23 functions as an interface with an input device for receiving input operations from businesses and users, and an output device for outputting information to businesses and users.

[0031] The gaming machine 30 is, for example, a gaming machine installed mainly in a pachinko parlor or other establishment. The gaming machine includes, for example, a pachinko machine and a pachislot machine. The gaming machine 30 transmits, for example, its own operating information to the gaming facility system 40 via the network 80.

[0032] The gaming center system 40 stores various information related to the gaming center, such as operation information of one or more gaming centers and operation information of the gaming machines 30. The gaming center system 40 transmits, for example, various information related to operation to the server 20 via the network 80.

[0033] Each information processing device is configured by a computer equipped with an arithmetic unit and a storage device. The basic hardware configuration of the computer and the basic functional configuration of the computer realized by the hardware configuration will be described later. For each of the operator terminal 10, the server 20, and the gaming machine 30, explanations that overlap with the basic hardware configuration and basic functional configuration of the computer will be omitted.

[0034] <1-1 Functional configuration of carrier terminal> Fig. 2 is a diagram showing an example of the functional configuration of the operator terminal 10 shown in Fig. 1. As shown in Fig. 2, the operator terminal 10 includes a communication unit 120, an input device 13, an output device 14, an audio processing unit 17, a microphone 171, a speaker 172, a storage unit 180, and a control unit 190. The blocks included in the operator terminal 10 are electrically connected by, for example, a bus or the like.

[0035] The communication unit 120 performs processing such as modulation and demodulation for the operator terminal 10 to communicate with other devices. The communication unit 120 performs transmission processing on signals generated by the control unit 190 and transmits them to the outside (for example, the server 20 and the gaming machine 30). The communication unit 120 performs reception processing on signals received from the outside and outputs them to the control unit 190.

[0036] The input device 13 is a device through which each person in charge of the business who operates the business terminal 10 inputs instructions or information. The input device 13 is realized, for example, by a touch-sensitive device 131 or the like, which inputs instructions by touching the operation surface. If the business terminal 10 is a PC or the like, the input device 13 may be realized by a reader, keyboard, mouse, or the like. The input device 13 converts instructions input by the business into electrical signals and outputs the electrical signals to the control unit 190. The input device 13 may include, for example, a receiving port that receives electrical signals input from an external input device.

[0037] The output device 14 is a device for presenting information to each person in charge of the business who operates the business terminal 10. The output device 14 is realized, for example, by a display 141 or the like. The display 141 displays data according to the control of the control unit 190. The display 141 is realized, for example, by an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display or the like.

[0038] The audio processing unit 17 performs, for example, digital-to-analog conversion processing of an audio signal. The audio processing unit 17 converts a signal provided from the microphone 171 into a digital signal and provides the converted signal to the control unit 190. The audio processing unit 17 also provides the audio signal to the speaker 172. The audio processing unit 17 is realized, for example, by a processor for audio processing. The microphone 171 receives audio input and provides an audio signal corresponding to the audio input to the audio processing unit 17. The speaker 172 converts the audio signal provided from the audio processing unit 17 into audio and outputs the audio to the outside of the operator terminal 10.

[0039] The storage unit 180 is realized by, for example, the memory 15, the storage 16, etc., and stores data and programs used by the operator terminal 10. The storage unit 180 stores, for example, gaming machine information 181.

[0040] The gaming machine information 181 includes, for example, information about a gaming machine before operation, a gaming machine after operation, etc. The information about the gaming machine includes, for example, basic information and evaluation information about the gaming machine.

[0041] The control unit 190 is realized by the processor 19 reading a program stored in the storage unit 180 and executing instructions included in the program. The control unit 190 controls the operation of the operator terminal 10. The control unit 190 operates in accordance with the program to fulfill the functions of an operation reception unit 191, a transmission / reception unit 192, and a presentation control unit 193.

[0042] The operation reception unit 191 performs processing for receiving instructions or information input from the input device 13. Specifically, for example, the operation reception unit 191 receives instructions or information input from the touch-sensitive device 131 or the like.

[0043] Furthermore, the operation reception unit 191 receives voice instructions input from the microphone 171. Specifically, for example, the operation reception unit 191 receives a voice signal that is input from the microphone 171 and converted into a digital signal by the voice processing unit 17. For example, the operation reception unit 191 analyzes the received voice signal and extracts a predetermined noun, thereby acquiring instructions from the business operator.

[0044] The transmitting / receiving unit 192 performs processing for the business operator terminal 10 to transmit and receive data to and from an external device such as the server 20 in accordance with a communication protocol. Specifically, for example, the transmitting / receiving unit 192 transmits information input by the business operator or instructions from the business operator to the server 20. In addition, the transmitting / receiving unit 192 receives information provided by the server 20.

[0045] The presentation control unit 193 controls the output device 14 to present information provided from the server 20 to the business operator. Specifically, for example, the presentation control unit 193 causes the display 141 to display request instructions transmitted from the server 20, acceptance of various requests, and the like. In addition, the presentation control unit 193 causes the speaker 172 to output the information transmitted from the server 20.

[0046] <1-2 Functional configuration of the server> Fig. 3 is a diagram showing an example of the functional configuration of the server 20 shown in Fig. 1. As shown in Fig. 3, the server 20 functions as a communication unit 201, a storage unit 202, and a control unit 203.

[0047] The communication unit 201 performs processing for the server 20 to communicate with external devices.

[0048] The memory unit 202 has, for example, a gaming machine information table 2021, a gaming machine prediction / performance information table 2022, a new gaming machine information table 2023, a first trained model 2024, and a second trained model 2025. The databases and trained models stored in the memory unit 202 are not limited to these. Note that if third predicted price information for the resale of the third gaming machine is not required, the second trained model 2025 may not be required.

[0049] The gaming machine information table 2021 is a database that stores information about gaming machines after they are in operation. Details will be described later. The gaming machine information table 2021 may be linked to the gaming machine information 181 in the storage unit 180 of the operator terminal 10, for example.

[0050] The gaming machine prediction / performance information table 2022 is a database that stores information about the predicted evaluation and performance evaluation of gaming machines after they are put into operation. Details will be described later. The gaming machine prediction / performance information table 2022 may be linked to the gaming machine information 181 in the storage unit 180 of the operator terminal 10, for example.

[0051] The new gaming machine information table 2023 is a database that stores information about new gaming machines before they are put into operation. Details will be described later. The new gaming machine information table 2023 may be linked to the gaming machine information 181 in the storage unit 180 of the operator terminal 10, for example.

[0052] The first trained model 2024 is a model that estimates and outputs second predicted evaluation information for a new, pre-operational second gaming machine by inputting information about the gaming machine. The second predicted evaluation information is a quantitative evaluation, and includes, for example, multiple evaluation item scores and an overall score. The first trained model 2024 learns the first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine as learning data. The learning data may include, for example, as teacher data, the basic information of the target gaming machine, which serves as input data, and the predicted evaluation information of the target gaming machine, which serves as correct answer data, in association with each other.

[0053] The first basic information includes, for example, information on the design of the first gaming machine. The first predicted evaluation information is evaluation information predicted based on the first basic information before the first gaming machine is put into operation. The first predicted evaluation information is a quantitative evaluation and includes, for example, multiple evaluation item scores and an overall score. The first performance evaluation information is evaluation information actually measured after the first gaming machine is put into operation. The first performance evaluation information includes a performance performance score related to the results of the first gaming machine. The performance performance score includes, for example, performance contribution weeks and performance contribution gross profit, etc.

[0054] The second trained model 2025 is a model that, by inputting information about a third gaming machine after it has been put into operation, estimates and outputs third predicted price information when the gaming machine is resold. The third predicted price information is price information predicted when the third gaming machine is resold. The second trained model 2025 trains the first trained model 2024 using the first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine as training data. The training data may, for example, include, as training data, the basic information and performance evaluation information of the target gaming machine, which serve as input data, associated with the predicted price information of the target gaming machine, which serves as correct answer data.

[0055] The control unit 203 is realized by the processor 29 reading a program stored in the storage unit 202 and executing instructions included in the program. The program includes an application such as a web browser application. The program includes an interpreter-type programming language such as JavaScript (registered trademark) that is executed on a web browser application stored in the operator terminal 10. The control unit 203 operates in accordance with the program to perform functions shown as a reception control module 2031, a transmission control module 2032, a service processing module 2033, and a presentation control module 2034.

[0056] The reception control module 2031 controls the process in which the server 20 receives signals from external devices in accordance with a communication protocol. The transmission control module 2032 controls the process in which the server 20 transmits signals to external devices in accordance with a communication protocol. The service processing module 2033 outputs second predicted evaluation information for the second gaming machine based on second basic information regarding the new second gaming machine before it is put into operation. The presentation control module 2034 controls the process in which information is presented to the operator.

[0057] Specifically, the service processing module 2033 acquires second basic information regarding a new second gaming machine before it is put into operation. The second basic information includes, for example, information such as the design of the second gaming machine. The service processing module 2033 inputs the acquired second basic information into the first trained model 2024. The service processing module 2033 outputs second predicted evaluation information regarding the second gaming machine before it is put into operation. Like the first predicted evaluation information regarding the first gaming machine, the second predicted evaluation information is a quantitative evaluation and includes, for example, multiple evaluation item scores and an overall score. The service processing module 2033 presents the output second predicted evaluation information regarding the second gaming machine before it is put into operation.

[0058] The service processing module 2033 also acquires third basic information and third performance evaluation information regarding the third gaming machine after it has been put into operation. The third basic information includes, for example, information regarding the design of the third gaming machine, similar to the first basic information of the first gaming machine. The third performance evaluation information is, for example, evaluation information actually measured after the third gaming machine has been put into operation. The third performance evaluation information is information regarding the results of the third gaming machine, including, for example, performance contribution weeks and performance contribution gross profit. The service processing module 2033 inputs the acquired third basic information and third performance evaluation information into the second trained model 2025. The service processing module 2033 outputs third predicted price information for the third gaming machine after it has been put into operation. The third predicted price information is price information predicted when the third gaming machine is resold. The service processing module 2033 presents the output third predicted price information for the third gaming machine after it has been put into operation.

[0059] <2 Data Structure> 4 to 6 are diagrams showing the data structures of databases stored in server 20. Note that Figures 4 to 6 are merely examples and do not exclude data that is not listed. Furthermore, even data that is listed in the same database may be stored in separate storage areas in storage unit 202.

[0060] Fig. 4 is a diagram showing the data structure of the gaming machine information table 2021. The gaming machine information table 2021 shown in Fig. 4 is a database having columns such as gaming machine name, specifications, gameplay, price, manufacturer, and coin price, with a gaming machine ID as a key. The gaming machine information table 2021 stores, for example, first basic information such as the design of a first gaming machine after it has been put into operation.

[0061] The gaming machine ID is an item for storing an identifier for uniquely identifying the first gaming machine after operation. The first gaming machine after operation includes, for example, a gaming machine currently in operation and a gaming machine that has completed operation in the past.

[0062] The gaming machine name is an item for storing the name of the first gaming machine.

[0063] The "specs" is an item that stores the specs of the first gaming machine. The item "specs" stores, for example, the performance and specifications of the gaming machine.

[0064] The gameplay is an item that stores the gameplay of the first gaming machine. The item "gameplay" stores, for example, the bonus probability, bonus details, and content of the gaming machine.

[0065] The price is an item for storing the price of the first gaming machine.

[0066] The manufacturer is an item for storing the manufacturer that produced the first gaming machine.

[0067] The coin price is an item for storing the coin price of the first gaming machine.

[0068] Fig. 5 is a diagram showing the data structure of the gaming machine prediction / performance information table 2022. The gaming machine prediction / performance information table 2022 shown in Fig. 5 is a database having columns such as predicted evaluation information, performance evaluation information, and predicted performance comparison information, with the gaming machine ID as a key. The gaming machine prediction / performance information table 2022 stores the predicted evaluation and performance evaluation of the first gaming machine after it has been put into operation in association with each other.

[0069] The gaming machine ID is an item for storing an identifier for uniquely identifying the first gaming machine after it is put into operation. The gaming machine ID in the gaming machine prediction / performance information table 2022 corresponds to the gaming machine ID in the gaming machine information table 2021 shown in FIG.

[0070] The predicted evaluation information is an item that stores first predicted evaluation information of the first gaming machine. The item "predicted evaluation information" stores, for example, evaluation information predicted before the first gaming machine is put into operation. The item "predicted evaluation information" includes, for example, multiple evaluation item scores and an overall score. The multiple evaluation item scores include, for example, predicted design scores related to the design of the first gaming machine (scores for presentation, popularity, content, concept, number of units sold, timing, specifications, etc.), and predicted performance scores related to the performance of the first gaming machine (predicted contribution week, predicted contribution gross profit, etc.). The overall score may be the total score of the multiple evaluation item scores, the average score of the multiple evaluation item scores, or the total score obtained by weighting each evaluation item score.

[0071] The performance evaluation information is an item that stores first performance evaluation information of the first gaming machine. The item "performance evaluation information" stores, for example, evaluation information that is actually measured after the first gaming machine is put into operation. The item "performance evaluation information" includes, for example, a performance performance score (performance contribution week, performance contribution gross profit, etc.) regarding the performance of the first gaming machine.

[0072] The predicted performance comparison information is an item that stores comparison information between the predicted evaluation and actual evaluation of the first gaming machine. The item "predicted performance comparison information" stores, for example, the difference between the predicted performance score and actual performance score of the first gaming machine.

[0073] Fig. 6 is a diagram showing the data structure of the new gaming machine information table 2023. The new gaming machine information table 2023 shown in Fig. 6 is a database having columns such as gaming machine name, specifications, gameplay, price, manufacturer, and coin price, with the new gaming machine ID as a key. The new gaming machine information table 2023 stores second basic information such as the design of a new second gaming machine before it is put into operation.

[0074] The new gaming machine ID is an item for storing an identifier for uniquely identifying a second gaming machine before operation. The second gaming machine before operation includes, for example, a new gaming machine before release or within a predetermined period after release.

[0075] The gaming machine name is an item for storing the name of the second gaming machine.

[0076] The "specs" field stores the specs of the second gaming machine. The "specs" field includes, for example, the performance and specifications of the gaming machine.

[0077] The game characteristics is an item for storing the game characteristics of the second gaming machine. The item "game characteristics" includes, for example, the bonus probability, bonus content, and content of the gaming machine.

[0078] The price is an item for storing the price of the second gaming machine.

[0079] The manufacturer is an item for storing the manufacturer of the second gaming machine.

[0080] The coin price is an item for storing the coin price of the second gaming machine.

[0081] <3 Example of operation> <3-1 Learning process of the first trained model> We will now explain the learning process operation of the first trained model 2024. The first trained model 2024 is a model that estimates and outputs predicted evaluation information for a new second gaming machine by inputting information about the gaming machine before it is put into operation.

[0082] FIG. 7 is a flowchart showing an example of the learning processing operation of the first trained model 2024.

[0083] In step S11, the server 20 stores information about the first gaming machine after it has been put into operation. Specifically, the service processing module 2033 acquires, for example, first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine. The service processing module 2033 may acquire the first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine in response to an operation of the operator's operator terminal 10, or may automatically acquire the first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine stored in the gaming center system 40 periodically or in real time. Furthermore, the service processing module 2033 may acquire the first basic information about the first gaming machine directly from, for example, a manufacturer. The service processing module 2033 stores, for example, the acquired first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine in the storage unit 202. The service processing module 2033 stores, for example, the first basic information in the gaming machine information table 2021, and the first predicted evaluation information and the first performance evaluation information in the gaming machine predicted / performance information table 2022.

[0084] The first basic information includes, for example, information about the design of the first gaming machine. The first basic information includes, for example, information about the specifications, gameplay, price, manufacturer, and coin price of the first gaming machine. The specifications include, for example, the performance and specifications of the model. The gameplay includes, for example, game functions such as bonus probability, bonus content, and content. The first predicted evaluation information is evaluation information predicted based on the first basic information before (in the past) the first gaming machine was put into operation. The first predicted evaluation information is a quantitative evaluation, and includes, for example, multiple evaluation item scores and an overall score. The multiple evaluation item scores include, for example, a predicted design score related to the design of the first gaming machine and a predicted performance score related to the performance of the first gaming machine. The predicted design score includes, for example, scores for presentation, popularity, content, concept, number of units sold, timing, and specifications. The predicted performance score includes, for example, a predicted contribution week and a predicted contribution gross profit. The overall score may be the sum of the scores of multiple evaluation items, the average of the scores of multiple evaluation items, or the weighted sum of the scores of each evaluation item. The first performance evaluation information is evaluation information actually measured after the first gaming machine is put into operation. The first performance evaluation information includes a performance performance score related to the performance of the first gaming machine. The performance performance score includes, for example, performance contribution weeks and performance contribution gross profit.

[0085] In step S12, the server 20 trains the first trained model 2024. Specifically, the service processing module 2033 trains the first trained model 2024 using, for example, the stored first basic information, first prediction evaluation information, and first performance evaluation information of the first gaming machine as training data. The training data may include, for example, the first basic information serving as input data and the first prediction evaluation information and first comparison information serving as correct answer data as training data. The first comparison information is, for example, a value calculated as the difference between the first prediction evaluation information and the first performance evaluation information. Note that the first trained model 2024 may use the first performance evaluation information as correct answer data instead of the first prediction evaluation information and the first comparison information. Furthermore, if there is not enough first performance evaluation information, only the first prediction evaluation information may be used as correct answer data. Furthermore, the first trained model 2024 may be re-trained using the second basic information, second prediction evaluation information, and second performance evaluation information of a new second gaming machine as training data. At this time, if there is not enough second performance evaluation information, only the second predicted evaluation information may be used as correct answer data. Also, when the second gaming machine (or the first gaming machine) is in operation, the second performance evaluation information (or the first performance evaluation information) is updated each time, so the first trained model 2024 may be re-trained using the updated second performance evaluation information (or the first performance evaluation information).

[0086] In step S13, the server 20 stores the trained first trained model 2024 in the storage unit 202.

[0087] <3-2 Learning process of the second trained model> We will now explain the learning process operation of the second trained model 2025. The second trained model 2025 is a model that receives information about a third gaming machine after it has been put into operation, and estimates and outputs third predicted price information for when the gaming machine is resold.

[0088] FIG. 8 is a flowchart showing an example of the learning processing operation of the second trained model 2025.

[0089] In step S21, the server 20 stores information about the first gaming machine after it has been put into operation. Specifically, the service processing module 2033 acquires, for example, first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine. The service processing module 2033 may acquire the first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine in response to an operation of the operator's operator terminal 10, or may automatically acquire the first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine stored in the gaming facility system 40 periodically or in real time. The service processing module 2033, for example, stores the acquired first basic information, first predicted evaluation information, and first performance evaluation information about the first gaming machine in the storage unit 202. The service processing module 2033, for example, stores the first basic information in the gaming machine information table 2021 and the first predicted evaluation information and first performance evaluation information in the gaming machine prediction / performance information table 2022. The first basic information, the first prediction evaluation information, and the first performance evaluation information may be the same as the first basic information, the first prediction evaluation information, and the first performance evaluation information input to the first trained model, or may include additional information based on that information. Note that the process of step S21 in Figure 8 may be the same as the process of step S11 in Figure 7, and does not need to be performed again.

[0090] In step S22, the server 20 trains the second trained model 2025. Specifically, the service processing module 2033 trains the first trained model 2024 using, for example, the stored first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine as training data. Here, the first predicted evaluation information may include first predicted price information, which is a predicted price of the first gaming machine, and the first performance evaluation information may include first performance price information, which is an actual resale price of the first gaming machine. The training data may include, for example, the first basic information, which is input data, and the first predicted evaluation information and first comparison information, which are correct answer data, as training data. The first comparison information is, for example, a value calculated as the difference between the first predicted evaluation information and the first performance evaluation information. Note that the first trained model 2024 may use the first performance evaluation information as correct answer data instead of the first predicted evaluation information and the first comparison information. Furthermore, if there is insufficient first performance evaluation information, only the first prediction evaluation information may be used as correct answer data. Furthermore, the second trained model 2024 may be re-trained using the second basic information, second prediction evaluation information, and second performance evaluation information of a new second gaming machine as training data. In this case, if there is insufficient second performance evaluation information, only the second prediction evaluation information may be used as correct answer data. Furthermore, when the second gaming machine (or the first gaming machine) is in operation, the second performance evaluation information (or the first performance evaluation information) is updated each time, so the first trained model 2024 may be re-trained using the updated second performance evaluation information (or the first performance evaluation information).

[0091] In step S23, the server 20 stores the trained second trained model 2025 in the storage unit 202. <3-3 Predictive evaluation behavior of new gaming machines> The predictive evaluation operation of a new gaming machine (second gaming machine) before it is put into operation will be described.

[0092] FIG. 9 is a flowchart showing an example of the predictive evaluation operation of a new gaming machine before it is put into operation.

[0093] In step S31, the server 20 acquires information about a new, pre-operation second gaming machine. Specifically, the service processing module 2033 acquires, for example, second basic information about the second gaming machine. The service processing module 2033 may acquire the second basic information about the second gaming machine in response to an operation (predictive evaluation request) of the operator's operator terminal 10, or may automatically acquire the second basic information about the second gaming machine stored in the gaming center system 40 periodically (at a predetermined cycle). Furthermore, the service processing module 2033 may automatically acquire the second basic information about the second gaming machine a predetermined period before the release of the second gaming machine based on a preset schedule.

[0094] The second basic information includes, for example, information on the design of the second gaming machine, similar to the first basic information of the first gaming machine. The second basic information includes, for example, information on the specifications, game characteristics, price, manufacturer, and coin price of the second gaming machine. The specifications include, for example, the performance and specifications of the machine. The game characteristics include, for example, game functions such as bonus probability, bonus content, and content.

[0095] In step S32, the server 20 inputs the acquired second basic information into the first trained model 2024. Specifically, the service processing module 2033 inputs the acquired second basic information of the second gaming machine into the first trained model 2024, which has been trained based on, for example, the first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine. The service processing module 2033 may input the second basic information into the first trained model 2024, for example, according to the timing of acquisition of the second basic information. That is, the service processing module 2033 may input the second basic information into the first trained model 2024, for example, according to a predicted evaluation request from the operator, a predetermined cycle, or the timing of a preset schedule. It is desirable that the service processing module 2033 input the second basic information into the first trained model 2024, for example, after the release date of the second gaming machine has been decided and as early as possible before the release date.

[0096] In step S33, the server 20 outputs second predicted evaluation information for the second gaming machine before operation. Specifically, the first trained model 2024 outputs the second predicted evaluation information for the second gaming machine, for example, based on the input second basic information. The second predicted evaluation information, like the first predicted evaluation information for the first gaming machine, is a quantitative evaluation and includes, for example, multiple evaluation item scores and an overall score. The multiple evaluation item scores include, for example, a predicted design score related to the design of the second gaming machine and a predicted performance score related to the performance of the second gaming machine. The predicted design score includes, for example, scores for presentation, popularity, content, concept, number of units sold, timing, and specifications. The predicted performance score includes, for example, scores for predicted contribution week and predicted contribution gross profit. The overall score may be the sum of the multiple evaluation item scores, the average of the multiple evaluation item scores, or the weighted sum of the evaluation item scores.

[0097] Each evaluation item score may be scored, for example, on a scale of 10 points. Among the evaluation item scores, the predicted design score (scores for production, popularity, content, concept, sales volume, timing, specifications, etc.) may be scored on a scale of 1 to 10 points based on an arbitrarily set index. Furthermore, among the evaluation item scores, the predicted performance score (scores for predicted contribution week and predicted contribution gross profit, etc.) may be scored on a scale of 1 to 10 points based on an arbitrarily set threshold. For example, the predicted contribution week may be 1 point for 1 week or less, 2 points for 2 weeks or less, 9 points for 9 weeks or less, and 10 points for more than 9 weeks. Furthermore, the predicted contribution gross profit may be 1 point for 100,000 yen or less, 2 points for 200,000 yen or less, 9 points for 900,000 yen or less, and 10 points for more than 900,000 yen.

[0098] In step S34, the server 20 presents the output second predicted evaluation information of the second gaming machine before it is put into operation. Specifically, the service processing module 2033 presents the second predicted evaluation information of the second gaming machine to the operator via, for example, the presentation control module 2034. The operator checks the displayed second predicted evaluation information of the second gaming machine by operating the operator terminal 10. This allows the operator to consider purchasing the second gaming machine with reference to the second predicted evaluation information.

[0099] Note that the server 20 may store the second performance evaluation information of the second gaming machine, for example, after the second gaming machine is purchased and put into operation. The server 20 may store the second basic information, the second prediction evaluation information, and the second performance evaluation information of the second gaming machine in association with each other. The server 20 may store the second basic information, the second prediction evaluation information, and the second performance evaluation information of the second gaming machine in the new gaming machine information table 2023, or may store them in the gaming machine information table 2021 after the second gaming machine is put into operation. Furthermore, the server 20 may retrain the first trained model 2024 based on the stored second basic information, the second prediction evaluation information, and the second performance evaluation information of the second gaming machine. <3-4 Predicted price behavior of gaming machines> The predicted price behavior in the resale of the gaming machine (third gaming machine) after it has been put into operation will be described.

[0100] FIG. 10 is a flowchart showing an example of predicted price behavior in the resale of gaming machines after they are put into operation.

[0101] In step S41, the server 20 acquires information about the third gaming machine after it has been put into operation. Specifically, the service processing module 2033 acquires, for example, third basic information and third performance evaluation information about the third gaming machine. The service processing module 2033 may acquire the third basic information and third performance evaluation information about the third gaming machine in response to an operation (predicted price request) of the operator's operator terminal 10, or may automatically acquire the third basic information and third performance evaluation information about the third gaming machine stored in the gaming center system 40 periodically (at a predetermined cycle). Furthermore, the service processing module 2033 may automatically acquire the third basic information and third performance evaluation information about the third gaming machine based on a predetermined schedule, a predetermined period before the resale of the third gaming machine.

[0102] The third basic information includes, for example, information on the design of the third gaming machine, similar to the first basic information of the first gaming machine. The third basic information includes, for example, information on the specifications, gameplay, price, manufacturer, and coin price of the third gaming machine. The specifications include, for example, the performance and specifications of the model. The gameplay includes, for example, game functions such as bonus probability, bonus content, and content. The third performance evaluation information is, for example, evaluation information actually measured after the third gaming machine is put into operation, similar to the first performance evaluation information of the first gaming machine. The third performance evaluation information is information on the results of the third gaming machine, including, for example, performance contribution weeks and performance contribution gross profit.

[0103] The third gaming machine after operation and the first gaming machine after operation may be the same gaming machine. That is, it may be assumed that the first gaming machine after operation will be resold. In this case, the server 20 may use the first basic information and first performance evaluation information of the first gaming machine that have already been acquired.

[0104] In step S42, the server 20 inputs the acquired third basic information and third performance evaluation information into the second trained model 2025. Specifically, the service processing module 2033 inputs the acquired third basic information and third performance evaluation information of the third gaming machine into the second trained model 2025, which has been trained based on, for example, the first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine. The service processing module 2033 may input the third basic information and the third performance evaluation information into the second trained model 2024, for example, depending on the timing of acquisition of the third basic information and the third performance evaluation information. That is, the service processing module 2033 may input the third basic information and the third performance evaluation information into the second trained model 2025, for example, depending on the timing of a predicted price request from the operator, a predetermined cycle, or a preset schedule.

[0105] In step S43, the server 20 outputs third predicted price information of the third gaming machine after it is put into operation. Specifically, the second trained model 2025 outputs the third predicted price information of the third gaming machine based on, for example, the input third basic information and third performance evaluation information. The third predicted price information is price information predicted when the third gaming machine is resold.

[0106] In step S44, the server 20 presents the output third predicted price information of the third gaming machine after operation. Specifically, the service processing module 2033 presents the third predicted price information of the third gaming machine to the operator via, for example, the presentation control module 2034. The operator checks the displayed third predicted price information of the third gaming machine by operating the operator terminal 10. This allows the operator to consider reselling the third gaming machine with reference to the predicted price information.

[0107] The server 20 may store third actual price information of the third gaming machine after the third gaming machine is resold, for example. The third actual price information is the actual price at the time of resale. The server 20 may store third basic information, third performance evaluation information, third predicted price information, and third actual price information of the third gaming machine in association with each other. The server 20 may also retrain the second trained model 2025 based on the stored third basic information, third performance evaluation information, third predicted price information, and third actual price information of the third gaming machine.

[0108] <4 Screen example> Fig. 11 is a schematic diagram showing an example of a display screen of the display 141 of the operator terminal 10. Fig. 11 shows, for example, a screen presenting the second predicted evaluation information of the second gaming machine before the operation of step S34 shown in Fig. 9. The screen shown in Fig. 11 includes a first area 1411, a second area 1412, a third area 1413, a fourth area 14, and a fifth area 15.

[0109] The first area 1411 is an area where, for example, the name of the second gaming machine is displayed.

[0110] The second area 1412 is an area where, for example, an image of the second gaming machine is displayed.

[0111] The third area 1413 is an area where, for example, second predicted evaluation information of the second gaming machine is displayed. The second predicted evaluation information is a quantitative evaluation and includes, for example, multiple evaluation item scores and an overall score. In FIG. 11, the multiple evaluation item scores are displayed in a radar chart. The multiple evaluation item scores include, for example, a predicted design score related to the design of the second gaming machine and a predicted performance score related to the performance of the second gaming machine. The predicted design score includes, for example, scores for presentation, popularity, content, concept, sales volume, timing, and specifications. The predicted performance score includes, for example, scores for the predicted contribution week and the predicted contribution gross profit. The overall score may be the sum of the multiple evaluation item scores, the average of the multiple evaluation item scores, or a weighted total score for each evaluation item score. In FIG. 11, the overall score is an example of the sum of the multiple evaluation item scores. Furthermore, although the predicted performance scores (the predicted contribution week and the predicted contribution gross profit) are displayed outside the radar chart in FIG. 11, they may also be included within the radar chart. The second predicted evaluation information displayed in the third area will not be changed, for example, even if the evaluation information is actually measured after the second gaming machine is put into operation, but may be re-evaluated and changed in accordance with the operator's operations, etc. before the second gaming machine is put into operation.

[0112] The fourth area 1414 is an area where, for example, the second performance evaluation information of the second gaming machine is displayed after the second gaming machine is put into operation. In Fig. 11, the second gaming machine has not yet been put into operation, so the second performance evaluation information is not displayed in the fourth area 1414.

[0113] The fifth area 1415 is an area where, for example, the second predicted price information of the second gaming machine is displayed after the second gaming machine is put into operation. In Fig. 11, the second gaming machine has not yet been put into operation, so the second predicted price information is not displayed in the fifth area 1415.

[0114] The operator checks the displayed second predicted evaluation information of the second gaming machine by operating the operator terminal 10. This allows the operator to consider purchasing the second gaming machine with reference to the second predicted evaluation information.

[0115] FIG. 12 is a schematic diagram showing an example of a display screen of the display 141 of the operator terminal 10. FIG. 12 shows, for example, a screen presenting predicted price information of a third gaming machine after the operation of step S44 shown in FIG. 10. FIG. 12 shows a screen presented when the second gaming machine is purchased and put into operation after the second predicted evaluation information of the second gaming machine is displayed in FIG. 11. In FIG. 12, the fourth area 1414 and the fifth area 1415 are updated with respect to the display screen of FIG. 11. Note that, in the explanation of FIG. 12, for convenience, the displayed information will be explained as information relating to the third gaming machine, but the second gaming machine in FIG. 11 and the third gaming machine in FIG. 12 refer to the same gaming machine.

[0116] The fourth area 1414 is an area where, for example, third performance evaluation information of the third gaming machine is displayed after the third gaming machine is put into operation. The third performance evaluation information is, for example, evaluation information of the third gaming machine that is actually measured after the third gaming machine is put into operation. The third performance evaluation information is, for example, information about the results of the third gaming machine, including, for example, performance contribution weeks and performance contribution gross profit.

[0117] The fifth area 1415 is an area where, for example, third predicted price information of the third gaming machine is displayed after the third gaming machine is put into operation. The third predicted price information is price information predicted when the third gaming machine is resold.

[0118] The business operator checks the displayed third predicted price information of the third gaming machine by operating the business operator terminal 10. This allows the business operator to consider reselling the third gaming machine with reference to the predicted price information.

[0119] <5 Variations> In the above embodiment, the first trained model 2024 outputs the second predicted evaluation information of the second gaming machine, but this embodiment is not limited to this. A generation AI may be used instead of the first trained model 2024. The generation AI may be tuned to output predicted evaluation information of the target gaming machine based on the first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine. Furthermore, the first trained model 2024 and the generation AI may be re-trained based on performance evaluation information that is subsequently measured.

[0120] Furthermore, in the above embodiment, the second trained model 2025 outputs the third predicted price information of the third gaming machine, but this embodiment is not limited to this. A generation AI may be used instead of the second trained model 2025. The generation AI may be tuned to output predicted price information of the target gaming machine based on the first basic information, first predicted evaluation information, and first performance evaluation information of the first gaming machine. Furthermore, the second trained model 2025 and the generation AI may be retrained based on the actual price at which the gaming machine will be resold later.

[0121] Furthermore, in the above embodiment, the first trained model 2024 and the second trained model 2025 learned the first basic information, first predicted evaluation information, and first actual evaluation information of the first gaming machine as learning data, but this embodiment is not limited to this. The first trained model 2024 and the second trained model 2025 may add information such as external factors as learning data. Information such as external factors may include, for example, industry trend information, competitor information, economic information, seasonal information, and advertising media information. Industry trend information may include, for example, topic information on social media and industry news information. Competitor information may include, for example, competitor advertising information and promotional information such as campaign information. Economic information may include, for example, consumer purchasing information. Seasonal information may include, for example, impact data of the year-end sales season or a specific season. Advertising media information may include, for example, performance analysis data of advertising using various social media. For example, the first trained model 2024 may learn how the external factors affect the comparison information between the first prediction evaluation information and the first actual evaluation information by learning the values ​​contained in the external factors as features.

[0122] In addition, in the above embodiment, the gaming machine information table 2021 of Fig. 4, the gaming machine prediction and performance information table 2022 of Fig. 5, and the new gaming machine information table 2023 of Fig. 6 are stored separately, but this embodiment is not limited to this. The gaming machine information table 2021 of Fig. 4, the gaming machine prediction and performance information table 2022 of Fig. 5, and the new gaming machine information table 2023 of Fig. 6 may be integrated into one data table.

[0123] Furthermore, in the above embodiment, an example of a form in which each function is provided by the operator terminal 10, the server 20, the gaming machine 30, or the gaming facility system 40 has been described, but this is not limited to this form, and some or all of the functions may be provided by the operator terminal 10, the server 20, the gaming machine 30, or the gaming facility system 40 in a form different from the above embodiment.

[0124] <6 summary> As described above, the server 20 of this embodiment stores first basic information of a first gaming machine after operation, first predicted evaluation information of the first gaming machine, and first performance evaluation information of the first gaming machine. The server 20 acquires second basic information of a second gaming machine before operation. The server 20 inputs the acquired second basic information into a first trained model trained using the first basic information, the first predicted evaluation information, and the first performance evaluation information as training data, thereby outputting second predicted evaluation information of the second gaming machine. The server 20 presents the output second predicted evaluation information. This allows operators to predict objective evaluation indicators that can be referenced when purchasing a newly released gaming machine, enabling them to consider purchasing a new gaming machine based on the prediction results.

[0125] Furthermore, the server 20 of this embodiment outputs a quantitative evaluation as the second predictive evaluation information in the outputting step, thereby enabling the gaming machine to be evaluated objectively and fairly.

[0126] In this embodiment, the quantitative evaluation includes evaluations for multiple evaluation items and an overall evaluation, which allows operators to check the evaluations for each evaluation item of the gaming machine as well as the overall evaluation.

[0127] Furthermore, in the acquiring step, the server 20 of this embodiment acquires the second basic information at a predetermined cycle. In the outputting step, the server 20 outputs the second predictive evaluation information in accordance with the timing of acquiring the second basic information. This makes it possible to automatically and efficiently collect the second basic information of the second gaming machine before operation at a predetermined cycle and perform predictive evaluation. In other words, because the predictive evaluation has been performed in advance, the server 20 can present the predictive evaluation without waiting time when instructed by the operator.

[0128] Furthermore, in the acquiring step, the server 20 of this embodiment acquires the second basic information based on a preset schedule. In the outputting step, the server 20 outputs the second predictive evaluation information in accordance with the timing of acquiring the second basic information. This makes it possible to automatically and efficiently collect the second basic information of the second gaming machine before operation based on a schedule desired by the operator and perform predictive evaluation. In other words, because the predictive evaluation has been performed in advance, the server 20 can present the predictive evaluation without waiting time when instructed by the operator.

[0129] In this embodiment, the training data includes, as training data, the first basic information serving as input data and the first prediction evaluation information serving as ground truth data, thereby enabling the first trained model to perform output with higher accuracy.

[0130] In this embodiment, the second basic information, the second predicted evaluation information, and the second performance evaluation information of the second gaming machine are stored in association with each other. This allows the operator to check not only the second predicted evaluation information of the second gaming machine but also the second performance evaluation information. Furthermore, the operator can re-learn the first trained model based on each piece of information of the second gaming machine.

[0131] Furthermore, the server 20 of this embodiment stores first basic information of a first gaming machine after operation, first predicted evaluation information of the first gaming machine, and first performance evaluation information of the first gaming machine. The server 20 acquires third basic information and third performance evaluation information of a third gaming machine after operation, which is different from the first gaming machine. The server 20 inputs the acquired third basic information and third performance evaluation information into a second trained model trained based on the first basic information, the first predicted evaluation information, and the first performance evaluation information, thereby outputting predicted price information of the third gaming machine. The server 20 presents the output predicted price information. This allows operators to predict price information that can be referenced when reselling gaming machines after operation (after use), and enables operators to consider reselling gaming machines based on the prediction results.

[0132] <7 Basic computer hardware configuration> 13 is a block diagram showing the basic hardware configuration of a computer 90. The computer 90 includes at least a processor 91, a main memory device 92, an auxiliary memory device 93, and a communication IF (interface) 99. These are electrically connected to one another by a bus.

[0133] The processor 91 is hardware for executing an instruction set written in a program, and is composed of an arithmetic unit, registers, peripheral circuits, and the like.

[0134] The main storage device 92 is used to temporarily store programs, data to be processed by the programs, etc. For example, it is a volatile memory such as a DRAM (Dynamic Random Access Memory).

[0135] The auxiliary storage device 93 is a storage device for saving data and programs, such as a flash memory, a hard disk drive (HDD), a magneto-optical disk, a CD-ROM, a DVD-ROM, or a semiconductor memory.

[0136] The communication IF 99 is an interface for inputting and outputting signals for communicating with other computers via a network using wired or wireless communication standards.

[0137] The network is composed of the Internet, a LAN, various mobile communication systems constructed by wireless base stations, etc. For example, the network includes 3G, 4G, and 5G mobile communication systems, LTE (Long Term Evolution), and wireless networks (e.g., Wi-Fi (registered trademark)) that can connect to the Internet via a predetermined access point. In the case of a wireless connection, communication protocols include, for example, Z-Wave (registered trademark), ZigBee (registered trademark), and Bluetooth (registered trademark). In the case of a wired connection, the network also includes a direct connection using a USB (Universal Serial Bus) cable, etc.

[0138] It should be noted that the computer 90 can be virtually realized by distributing all or part of each hardware configuration across multiple computers 90 and interconnecting them via a network. In this way, the computer 90 is a concept that includes not only a computer 90 housed in a single housing or case, but also a virtualized computer system.

[0139] <8 Basic Functional Configuration of Computer 90> A description will be given of the functional configuration of a computer realized by the basic hardware configuration of a computer 90 shown in Fig. 13. The computer includes at least the functional units of a control unit, a storage unit, and a communication unit.

[0140] The functional units of the computer 90 can also be realized by distributing all or part of the functional units among multiple computers 90 interconnected via a network. The computer 90 is a concept that includes not only a single computer 90 but also a virtualized computer system.

[0141] The control unit is realized by the processor 91 reading various programs stored in the auxiliary storage device 93, expanding them in the main storage device 92, and executing processing in accordance with the programs. The control unit can realize functional units that perform various types of information processing depending on the type of program. In this way, the computer is realized as an information processing device that processes information.

[0142] The storage unit is realized by a main storage device 92 and an auxiliary storage device 93. The storage unit stores data, various programs, and various databases. Furthermore, the processor 91 can allocate a storage area corresponding to the storage unit in the main storage device 92 or the auxiliary storage device 93 in accordance with the programs. Furthermore, the control unit can cause the processor 91 to execute processes for adding, updating, and deleting data stored in the storage unit in accordance with the various programs.

[0143] A database refers to a relational database, which is used to manage and correlate data sets called tabular databases, which are structurally defined by rows and columns. In a database, a table is called a database, a column in a table, and a row in a table is called a record. In a relational database, relationships between databases can be set and associated.

[0144] Typically, each database has a column set as a key for uniquely identifying a record, but setting a key to a column is not essential. The control unit can cause the processor 91 to add, delete, or update records in a specific database stored in the storage unit according to various programs.

[0145] The communication unit is realized by the communication IF 99. The communication unit realizes the function of communicating with other computers 90 via a network. The communication unit can receive information transmitted from other computers 90 and input the information to the control unit. The control unit can cause the processor 91 to execute information processing on the received information in accordance with various programs. In addition, the communication unit can transmit information output from the control unit to other computers 90.

[0146] Furthermore, the above-described configurations, functions, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The present invention can also be realized by software program code that implements the functions of the embodiments. In this case, a storage medium on which the program code is recorded is provided to a computer, and a processor included in the computer reads the program code stored in the storage medium. In this case, the program code itself read from the storage medium implements the functions of the above-described embodiments, and the program code itself and the storage medium on which it is stored constitute the present invention. Examples of storage media for providing such program code include flexible disks, CD-ROMs, DVD-ROMs, hard disks, SSDs, optical disks, magneto-optical disks, CD-Rs, magnetic tape, non-volatile memory cards, and ROMs.

[0147] Furthermore, the program code that realizes the functions described in this embodiment can be implemented in a wide range of program or script languages, such as assembler, C / C++, perl, Shell, PHP, and Java (registered trademark).

[0148] Furthermore, the program code of the software that realizes the functions of the embodiments may be distributed via a network and stored in a storage means such as a computer's hard disk or memory, or in a storage medium such as a CD-RW or CD-R, and the processor of the computer may read and execute the program code stored in the storage means or storage medium.

[0149] The functions performed by the components described herein may be implemented in circuitry or processing circuitry, including general-purpose processors, application-specific processors, integrated circuits, ASICs (Application Specific Integrated Circuits), a CPU (a Central Processing Unit), conventional circuits, and / or combinations thereof, programmed to perform the described functions. A processor includes transistors and other circuits and is considered to be circuitry or processing circuitry. A processor may also be a programmed processor that executes programs stored in memory.

[0150] In this specification, a circuitry, unit, or means is hardware that is programmed to realize or performs the described functions, which may be any hardware disclosed herein or any hardware known to be programmed to realize or perform the described functions.

[0151] If the hardware is a processor considered to be a type of circuitry, the circuitry, means, or unit is a combination of the hardware and software used to configure the hardware and / or processor.

[0152] Although several embodiments of the present disclosure have been described above, these embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and modifications are intended to be included in the scope of the inventions and their equivalents as defined in the claims, as well as in the scope and spirit of the inventions.

[0153] (Addendum) The matters described in the above embodiments will be supplemented below.

[0154] (Appendix 1) A program to be executed by a computer having a processor and a memory, the program causing the processor to: a step of storing first basic information of the first gaming machine after operation, first predicted evaluation information of the first gaming machine, and first actual performance evaluation information of the first gaming machine; acquiring second basic information of the second gaming machine before operation; a step of inputting the acquired second basic information into a first trained model trained using the first basic information, the first predicted evaluation information, and the first performance evaluation information as training data, thereby outputting second predicted evaluation information of the second gaming machine; presenting the output second predicted evaluation information; A program that executes the following.

[0155] (Appendix 2) In the outputting step, a quantitative evaluation is output as second predictive evaluation information. (Appendix 1) The program described in.

[0156] (Appendix 3) Quantitative evaluation includes evaluation of multiple evaluation items and overall evaluation. (Appendix 2) The program described in.

[0157] (Appendix 4) In the acquiring step, the second basic information is acquired at a predetermined interval; In the outputting step, the second predicted evaluation information is output in accordance with the timing of acquisition of the second basic information. The program described in (Appendix 1) to (Appendix 3).

[0158] (Appendix 5) In the acquiring step, the second basic information is acquired based on a preset schedule; In the outputting step, the second predicted evaluation information is output in accordance with the timing of acquisition of the second basic information. The program described in (Appendix 1) to (Appendix 3).

[0159] (Appendix 6) The learning data includes, as teacher data, the first basic information which is input data and the first prediction evaluation information which is correct answer data. The program described in (Appendix 1) to (Appendix 5).

[0160] (Appendix 7) a step of storing second basic information, second predicted evaluation information, and second performance evaluation information of the second gaming machine in association with each other; The program described in (Appendix 1) to (Appendix 6) to be executed.

[0161] (Appendix 8) A program to be executed by a computer having a processor and a memory, the program causing the processor to: a step of storing first basic information of the first gaming machine after operation, first predicted evaluation information of the first gaming machine, and first actual performance evaluation information of the first gaming machine; acquiring third basic information and third performance evaluation information of a third gaming machine after operation, the third gaming machine being different from the first gaming machine; a step of inputting the acquired third basic information and third performance evaluation information into a second trained model trained based on the first basic information, the first predicted evaluation information, and the first performance evaluation information, thereby outputting third predicted price information of the third gaming machine; presenting the output third predicted price information; A program that executes the following.

[0162] (Appendix 9) A method executed by a computer having a processor and a memory, wherein the processor executes all of the steps performed in any of the inventions according to (Appendix 1) to (Appendix 8).

[0163] (Appendix 10) An information processing device comprising a control unit and a storage unit, wherein the control unit executes all of the steps executed in the invention according to any one of (Appendix 1) to (Appendix 8).

[0164] (Appendix 11) A system comprising means for executing all steps performed in any of the inventions according to (Appendix 1) to (Appendix 8). [Explanation of symbols]

[0165] 1. System 10...Operator terminal 12...Communication IF 13...Input device 14...Output device 15...Memory 16…Storage 19...Processor 20...Server 22...Communication IF 23...Input / output interface 25…Memory 26…Storage 29...Processor 30...Amusement machines 40...Amusement park system

Claims

1. A program to be executed by a computer having a processor and a memory, the program causing the processor to: a step of storing, as information relating to a first gaming machine having an operating record, first basic information indicating model characteristics of the first gaming machine, first predicted evaluation information predicted based on the first basic information before the operation of the first gaming machine, and first actual performance evaluation information relating to an operation evaluation actually measured after the operation of the first gaming machine; acquiring second basic information indicating model characteristics of the second gaming machine before operation; a step of inputting the acquired second basic information into a first trained model trained using the first basic information, the first predicted evaluation information, and the first performance evaluation information as training data, thereby outputting second predicted evaluation information of the second gaming machine; presenting the output second predicted evaluation information; Execute In the outputting step, a quantitative evaluation including evaluations in a plurality of evaluation items and an overall evaluation is output as the second prediction evaluation information. program.

2. In the acquiring step, the second basic information is acquired at a predetermined interval; In the outputting step, the second predicted evaluation information is output in accordance with a timing of acquiring the second basic information. The program according to claim 1.

3. In the step of acquiring, the second basic information is acquired based on a preset schedule; In the outputting step, the second predicted evaluation information is output in accordance with a timing of acquiring the second basic information. The program according to claim 1.

4. The learning data includes, as teacher data, the first basic information that is input data and the first prediction evaluation information that is correct answer data. The program according to claim 1.

5. a step of storing the second basic information, the second predicted evaluation information, and second actual performance evaluation information relating to an operation evaluation actually measured after the operation of the second gaming machine in association with each other; The program according to claim 1, which is executed.

6. A method implemented on a computer having a processor and a memory, wherein the processor executes all of the steps performed in the invention according to any one of claims 1 to 5.

7. 10. An information processing device comprising a control unit and a storage unit, wherein the control unit executes all of the steps executed in the invention according to any one of claims 1 to 5.

8. A system comprising means for executing all steps executed in any one of the inventions according to claims 1 to 5.

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