Method, system and device for debugging a performance control program, and method, system and device for determining whether there is an abnormality in the performance of a gaming machine

Abstract

To simplify the debugging of a program that controls the presentation of a game machine, or to easily determine whether or not there is an abnormality in the game machine. [Solution] A method for debugging a presentation control program that controls a presentation device of a gaming machine is provided, comprising: a first step of executing the presentation control program to output a presentation control signal to the presentation device to cause the gaming machine to issue a presentation; a second step of using a detection device to detect the operation of the presentation device based on the presentation control signal; a third step of using pre-trained artificial intelligence to estimate the presentation issued by the gaming machine from the detected operation; and a fourth step of determining whether or not there is a bug in the presentation control program from the estimated presentation.

Description

[Technical Field]

[0001] The present invention relates to a method, system and device for debugging a presentation control program, and a method, system and device for determining whether or not there is an abnormality in the presentation of a gaming machine. [Background technology]

[0002] Gaming machines perform various effects, at least some of which are controlled by a computer program. In this regard, Patent Document 1 discloses a gaming machine inspection system that inspects gaming machines for defects in their effects. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6250913 Summary of the Invention [Problem to be solved by the invention]

[0004] The object of the present invention is to simplify the debugging of the program that controls the presentation of the gaming machine, to easily determine whether or not there is an abnormality in the gaming machine, and to provide a new technology that differs from Patent Document 1. [Means for solving the problem]

[0005] The following configuration is provided as an example.

[0006] [1] A method for debugging a performance control program that controls a performance device of a gaming machine, a first step of executing the effect control program to output an effect control signal to the effect device to cause the gaming machine to issue an effect; a second step in which a detection device detects an operation of the performance device based on the performance control signal; A third step of estimating the effect issued by the gaming machine from the detected action using a pre-trained artificial intelligence; A fourth step of determining whether or not there is a bug in the performance control program based on the estimated performance.

[0007] [2] A method for determining whether or not there is an abnormality in the presentation of a gaming machine, A second step in which a detection device detects an operation of a presentation device in the gaming machine; A third step of estimating the effect issued by the gaming machine from the detected action using a pre-trained artificial intelligence; A fourth step of determining whether or not there is an abnormality in the estimated presentation.

[0008] [3] outputting from the gaming machine issued effect information indicating an effect to be issued; The method according to [1] or [2], wherein in the fourth step, the determination is made by comparing the estimated effect with the issued effect information.

[0009] [4] The method according to [1] or [2], wherein in the fourth step, the judgment is made using artificial intelligence that has previously learned operations that indicate abnormal behavior of the gaming machine.

[0010] [5] A system for debugging a performance control program that controls a performance device of a gaming machine, a detection device that detects the operation of the performance device based on the performance control program; An estimation means for estimating the effect issued by the gaming machine from the detected action using a pre-trained artificial intelligence; The system is provided with a determination means for determining whether or not there is a bug in the performance control program based on the estimated performance.

[0011] [6] A system for determining whether there is an abnormality in the presentation of a gaming machine, A detection device that detects the operation of a presentation device in the gaming machine; An estimation means for estimating the effect issued by the gaming machine from the detected action using a pre-trained artificial intelligence; The system is provided with a determination means for determining whether or not there is an abnormality in the estimated performance.

[0012] [7] The system described in [5] or [6], wherein the estimation means is pre-trained to estimate the effect issued by the gaming machine from the detected action using a pair of data corresponding to the detection result by the detection device and the effect issued by the gaming machine.

[0013] [8] The system described in any of [5] to [7], wherein the determination means makes the determination by comparing the issued effect information output from the gaming machine, which indicates the effect issued by the gaming machine, with the estimated effect.

[0014] [9] The system described in any of [5] to [8], wherein the judgment means makes the judgment using artificial intelligence that has previously learned operations that indicate abnormal behavior of the gaming machine.

[0015]

[10] A system described in any of [5] to [9], wherein the detection device includes a camera that captures the visual presentation of the gaming machine.

[0016]

[11] A system described in any of [5] to

[10] , wherein the detection device includes means for detecting an auditory effect from the gaming machine.

[0017]

[12] A system described in any of [5] to

[11] , wherein the detection device includes a vibration sensor that detects vibrations of the gaming machine.

[0018]

[13] A system described in any of [5] to

[12] , wherein the detection device includes a wind sensor that detects wind from the gaming machine.

[0019]

[14] A device for debugging a performance control program that controls a performance device of a gaming machine, an estimation means for estimating the effect issued by the gaming machine from the operation of the effect device based on the effect control program detected by a detection device using a pre-trained artificial intelligence; The device is provided with a determination means for determining whether or not there is a bug in the performance control program based on the estimated performance.

[0020]

[15] A device for determining whether there is an abnormality in the presentation of a gaming machine, an estimation means for estimating an effect issued by the gaming machine from the operation of an effect device in the gaming machine detected by a detection device using a pre-trained artificial intelligence; The device is provided with a determination means for determining whether or not there is an abnormality in the estimated performance. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a block diagram showing a schematic configuration of an abnormality determination system 200 according to an embodiment. [Figure 2] FIG. [Figure 3] 10 is a flowchart showing an example of a process for determining whether or not there is an abnormality in the presentation of the gaming machine 100. DETAILED DESCRIPTION OF THE INVENTION

[0022] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0023] 1 is a block diagram showing a schematic configuration of an abnormality determination system 200 according to one embodiment. The abnormality determination system 200 is a system for determining an abnormality in a gaming machine 100 (for example, a pachinko (a pachinko gaming machine) or a pachislot (a slot machine)), and can also be said to be a system for debugging a performance control program that controls the performance of the gaming machine 100.

[0024] First, a description will be given of the gaming machine 100. The gaming machine 100 has a performance device 11 and a control unit 12.

[0025] The rendering device 11 issues a wide variety of renderings in response to a rendering control signal, which will be described later. There are no limitations on the type of rendering, but possible renderings include, for example, the following:

[0026] The effects may include effects that have a visual effect on the player. As a specific example, the effect device 11 has a display 111 that displays an image in response to the effect control signal. Furthermore, in addition to or instead of the display 111, the effect device 11 may have an illumination device such as an LED that emits light in response to the effect control signal, or a moving part that moves in response to the effect control signal.

[0027] The effects may include effects that have an auditory effect on the player. As a specific example, the effect device 11 has a speaker 112 and outputs a sound corresponding to the effect control signal. Furthermore, the effect device 11 may output the sound corresponding to the effect signal as an audio signal to the player's earphones (including headphones) via a wired or wireless connection.

[0028] The effects may include effects that have a tactile effect on the player. As a specific example, the effect device 11 has a vibration generator 113 such as a button, which generates vibrations in response to the effect control signal. The effect device 11 also has a wind generator 114, which generates wind in response to the effect control signal.

[0029] FIG. 2 is a diagram illustrating an example of a performance, which is defined as a performance specification, for example. For example, the effect identified by effect ID "P1" (hereinafter referred to as "effect P1") is an effect in which a predetermined image 1 is displayed on the display 111, and sound, vibration, and wind are optional ("-" in the figure indicates that they are optional). Effect 2 is an effect in which a predetermined sound 1 is output from the microphone 212, and the image, vibration, and wind are optional. In this way, an effect may be composed of one of an image, sound, vibration, and wind.

[0030] Furthermore, effect P3 is an effect in which a predetermined image 2 is displayed on display 111, a predetermined sound 2 is output from microphone 212, and vibration and wind are optional. Effect P4 is an effect in which a predetermined image 3 is displayed on display 111, and vibration 1 of a predetermined pattern is generated from vibration generator 113. In this way, an effect may be composed of a combination of two or more of an image, sound, vibration, and wind.

[0031] Note that display 111 has multiple display areas, and the performance may be configured by including the position at which the image is displayed (for example, a performance in which image 1 is displayed in the upper right corner of display 111 may be distinguished from a performance in which image 1 is displayed in the lower left corner of display 111). Also, performance device 11 may have multiple microphones 212, and the performance may be configured by including which microphone 212 outputs sound. The same applies to vibration and wind.

[0032] Returning to Fig. 1, the control unit 12 has a performance device control unit 121 and a performance information output unit 122. Some or all of these can be realized by a processor (not shown) of the gaming machine 100 executing a performance control program. One of the purposes of this embodiment is to easily debug this performance control program.

[0033] The effect device control unit 121 generates an effect control signal for causing the gaming machine 100 to issue a predetermined effect, and outputs it to the effect device 11. For example, the display 111 displays an image according to the effect control signal. The speaker 112 outputs a sound according to the effect control signal. The vibration generator 113 generates vibration according to the effect control signal. The wind generator 114 generates wind according to the effect control signal.

[0034] In the normal operation mode when a player plays a game, an effect control signal is generated in response to the player's operation, etc. In the debug mode, an effect control signal for issuing an arbitrary effect may be generated, or multiple effect control signals may be generated in sequence for issuing multiple effects in sequence.

[0035] The effect information output unit 122 generates issued effect information and outputs it from the gaming machine 100 to the outside. The issued effect information is internal information of the gaming machine 100 related to effects, such as lottery information (log), various command information, effect information, etc. In any case, this issued effect information includes information (e.g., effect information) corresponding to the effect control signal (or may be the effect control signal itself), and includes information indicating the effect issued from the gaming machine 100. "Indicating" may mean directly indicating which effect it is (e.g., indicating the effect ID in FIG. 2), or it may mean being able to infer the effect from the issued effect information.

[0036] Next, a description will be given of the abnormality determination system 200. The abnormality determination system 200 includes a detection device 21 and a determination apparatus 22.

[0037] Detection device 21 detects the operation (image, sound, vibration, wind, etc.) of performance device 11 and outputs the detection result to determination device 22. The detected "sound" may include a wired or wireless audio signal. Detection device 21 is configured to have devices corresponding to the configuration of performance device 11 so that it can detect the operation of performance device 11.

[0038] For example, the detection device 21 has a camera 211 that captures images of all or part of the gaming machine 100. That is, the camera 211 captures images of the visual effects of the gaming machine 100, such as the display 111, the illumination devices, and the moving props. The detection device 21 also has sound detection means that detects the auditory effects of the gaming machine 100. The sound detection means may be a microphone 212 that picks up sound from the speaker 112, an audio jack when the gaming machine 100 outputs an audio signal via a wired connection, or a wireless receiver when the gaming machine 100 outputs an audio signal wirelessly. Furthermore, the detection device 211 has a vibration sensor 213 that detects vibrations from the vibration generator 113 and a wind sensor 214 that detects wind from the wind generator 114, as means for detecting the tactile effects of the gaming machine 100.

[0039] The determination device 22 has an estimation unit 221 and a determination unit 222. Some or all of these can be realized by a processor (not shown) executing a predetermined program. This program can also be called a debug program for debugging the performance control program.

[0040] The estimation unit 221 uses pre-trained artificial intelligence to estimate the effect issued by the gaming machine 100 from the operation of the effect device 11 detected by the detection device 21 (in other words, the detection result by the detection device 21).

[0041] This artificial intelligence has been trained in advance to estimate the effect issued by the gaming machine 100 from the action detected by the detection device 21, using a combination of data corresponding to the detection result by the detection device 21 and the effect issued by the gaming machine 100.

[0042] In the example of Fig. 2, a set of data corresponding to image 1 and corresponding correct data, performance P1, is used as training data for learning. The data corresponding to image 1 is, for example, image 1 itself (or its features; the same applies below) or an image corresponding to it (image 1 with noise that may occur due to the performance of display 111 or camera 211, image 1 with slight changes in color or brightness, distorted image 1, etc.). By performing such learning in advance, estimation unit 221 can accurately output performance P1 when the image captured by camera 211 is image 1.

[0043] The same applies to sound, vibration, and wind. That is, the artificial intelligence of the estimation unit 221 is trained in advance to estimate an image, sound, vibration, and / or wind from the detection results of the detection device 21, and to estimate a performance ID corresponding to one or a combination of these.

[0044] Returning to FIG. 1, the determination unit 222 determines whether or not there is an abnormality in the effect estimated by the estimation unit 221. As an example, the determination unit 222 determines an abnormality by comparing the issued effect information from the gaming machine 100 with the effect estimated by the estimation unit 221. As a specific example, if the effect indicated by the issued effect information matches the effect estimated by the estimation unit 221, it is determined that there is no abnormality. If there is an abnormality, it can be said that there is a bug in the effect control program, and if there is no abnormality, there is no bug in the effect control program.

[0045] 3 is a flowchart showing an example of a process for determining whether or not there is an abnormality in the effects of the gaming machine 100. This process can also be said to be a method for debugging the effect control program.

[0046] First, the effect control program is executed to generate an effect control signal and issued effect information (step S1). The effect control signal is output to the effect device 11. The issued effect information is output from the gaming machine 100 and input to the determination unit 222 of the abnormality determination system 200. Then, the detection device 21 detects the operation of the effect device 11 based on the effect control signal, and inputs the detection result to the estimation unit 221 of the abnormality determination system 200 (step S2). The estimation unit 221 estimates the effect issued by the gaming machine 100 from the detected operation (step S3).

[0047] Then, the determination unit 222 compares the estimated performance with the issued performance information and determines whether or not there is an abnormality in the estimated performance (i.e., whether or not there is a bug in the performance control program) (step S4). If the estimated performance matches the performance indicated by the issued performance information, the control of the performance device 11 based on the performance control signal is being performed as intended and there is no abnormality (i.e., there is no bug in the performance control program). On the other hand, if the two do not match, the performance device 11 is not operating as intended and there is an abnormality (i.e., there is a bug in the performance control program). The presence or absence of an abnormality and the details of the abnormality may be automatically uploaded to a specified server.

[0048] By sequentially changing the performance control information issued in step S1 (and the issued performance information accordingly), it is possible to debug whether performance device 11 is being controlled as intended for various performances.

[0049] In the above-described embodiment, the estimation unit 221 is trained to estimate the performance ID in Fig. 2. However, the estimation unit 221 may be trained to estimate a performance corresponding to each detection result of the detection device 21. For example, the estimation unit 221 may estimate that the image captured by the camera 211 is image 1, or that the sound picked up by the microphone 212 is sound 1.

[0050] The determination unit 222 may then use a pre-trained artificial intelligence to determine whether or not there is an abnormality in the estimated effects (one or a combination of effects). This artificial intelligence has pre-trained operations that indicate abnormal behavior of the gaming machine 100, and if it is determined that the estimated effects are abnormal behavior, it determines that there is an abnormality (i.e., there is a bug in the effect control program).

[0051] An operation indicating abnormal behavior of the gaming machine 100 is, for example, an abnormal operation that has occurred in the past, such as an output sound being too long, two images being repeatedly displayed, or an effect that is clearly different from the state of the gaming machine 100 (such as an effect of a miss even though the machine is in a jackpot state).

[0052] As described above, according to this embodiment, the effects are estimated using artificial intelligence, which simplifies the determination of abnormalities in the gaming machine 100 and the debugging of the effect control program.

[0053] Any part or all of the functional units described in this specification may be realized by a program. The program mentioned in this specification may be non-transitoryly recorded on a computer-readable recording medium.

[0054] Such a program may be installed on a computer (a so-called native application), in which case the program may be downloaded to the computer via a communication line (including wireless communication) such as the Internet, or may be distributed in a state where it is installed on the computer.

[0055] Alternatively, the program may be one that runs on a web browser (a so-called web app), in which case the computer may receive the program written in a markup language file (e.g., an HTML file) from a server and execute it using the web browser.

[0056] Based on the above description, a person skilled in the art may be able to conceive additional effects and various modifications of the present invention, but the aspects of the present invention are not limited to the individual embodiments described above. For example, inventions that extract only a part of each embodiment or inventions that combine multiple embodiments are naturally envisioned. Various additions, modifications, and partial deletions are possible within the scope of the conceptual idea and spirit of the present invention, which can be derived from the content defined in the claims and their equivalents.

[0057] For example, what is described in this specification as one apparatus (or device, the same applies hereinafter) (including what is depicted as one apparatus in the drawings) may be realized by multiple apparatuses. Conversely, what is described in this specification as multiple apparatuses (including what is depicted as multiple apparatuses in the drawings) may be realized by one apparatus. Alternatively, some or all of the means or functions included in one apparatus may be included in another apparatus. Furthermore, a "system" may be composed of one apparatus, or two or more apparatuses.

[0058] Furthermore, not all of the features described in this specification are essential requirements. In particular, features described in this specification but not included in the claims can be considered optional additional features.

[0059] Furthermore, unless otherwise specified, the term "means" in this specification and claims refers to hardware itself (or a function realized by hardware) and does not include a human being (or human mental activity).

[0060] It should be noted that the applicant is merely aware of the inventions disclosed in the documents listed in the "Prior Art Documents" section of this specification, and the present invention does not necessarily aim to solve the problems of the disclosed inventions. The problem that the present invention aims to solve should be determined by taking into consideration the entire specification. For example, if this specification states that a specific configuration achieves a certain effect, it can also be said that the present invention solves a problem that is the reverse of that effect. However, it is not necessarily intended that such a specific configuration be an essential requirement. [Explanation of symbols]

[0061] 100 gaming machines 11 Performance device 111 Display 112 Speaker 113 Vibration Generator 114 Wind Generator 12 Control Unit 121 Production equipment control section 122 Production information output unit 200 Abnormality Judgment System 21 Detection Device 211 Camera 212 Mike 213 Vibration Sensor 214 Wind Sensor 22 Judgment device 221 Estimation Department 222 Judgment section

Claims

1. A method for debugging a performance control program that controls a performance device of a gaming machine, a first step of executing the effect control program to output an effect control signal to the effect device for causing the gaming machine to issue an effect; outputting from the gaming machine issued effect information indicating an effect to be issued; a second step in which a detection device detects one or more operations of the performance device based on the performance control signal; A third step of estimating an effect issued by the gaming machine from one or more detected actions using a pre-trained artificial intelligence; and a fourth step of determining that there is a bug in the performance control program when the estimated performance does not match the performance indicated by the issued performance information. The method, wherein the one or more movements include at least one of sound, vibration, and wind.

2. A method for debugging a performance control program that controls a performance device of a gaming machine, a first step of executing the effect control program to output an effect control signal to the effect device for causing the gaming machine to issue an effect; a second step in which a detection device detects one or more operations of the performance device based on the performance control signal; A third step of estimating an effect issued by the gaming machine from one or more detected actions using a pre-trained artificial intelligence; Using an artificial intelligence that has previously learned the behavior of the gaming machine that indicates abnormal behavior, a determination is made as to whether or not there is a bug in the performance control program based on the estimated performance; a fourth step, wherein the one or more actions include at least one of sound, vibration, and wind.

3. A method for debugging a performance control program that controls a performance device of a gaming machine, a first step of executing the effect control program to output an effect control signal to the effect device for causing the gaming machine to issue an effect; a second step in which a detection device detects two or more different actions of the performance device based on the performance control signal; a third step of estimating an effect issued by the gaming machine from the detected two or more actions using an artificial intelligence that has been trained in advance to estimate one of a plurality of predetermined effects from two or more actions; and a fourth step of determining whether or not there is a bug in the performance control program based on the estimated performance, The method, wherein one of the operations is one of an image, a sound, a vibration, and a wind, and the other of the operations is another one of an image, a sound, a vibration, and a wind.

4. A method for determining whether or not there is an abnormality in the presentation of a gaming machine, a second step in which a detection device detects one or more operations of a presentation device in the gaming machine; A third step of estimating an effect issued by the gaming machine from one or more detected actions using a pre-trained artificial intelligence; a fourth step of determining whether or not there is an abnormality in the estimated presentation using an artificial intelligence that has previously learned an operation that indicates an abnormal behavior of the gaming machine; The method, wherein the one or more movements include at least one of sound, vibration, and wind.

5. A method for determining whether or not there is an abnormality in the presentation of a gaming machine, a second step in which a detection device detects two or more different actions of the effect device in the gaming machine; a third step of estimating an effect issued by the gaming machine from the detected actions using an artificial intelligence that has been trained in advance to estimate one of a plurality of predetermined effects from two or more actions; A fourth step of determining whether or not there is an abnormality in the estimated effect, The method, wherein one of the operations is one of an image, a sound, a vibration, and a wind, and the other of the operations is another one of an image, a sound, a vibration, and a wind.

6. A system for debugging a performance control program that controls a performance device of a gaming machine, a detection device that detects one or more operations of the performance device based on the performance control program; An estimation means for estimating an effect issued by the gaming machine from one or more detected actions using a pre-trained artificial intelligence; and a determining means for determining that there is a bug in the effect control program when the estimated effect does not match the effect indicated by the issued effect information output from the gaming machine; The system wherein the one or more movements include at least one of sound, vibration, and wind.

7. A system for debugging a performance control program that controls a performance device of a gaming machine, a detection device that detects one or more operations of the performance device based on the performance control program; An estimation means for estimating an effect issued by the gaming machine from one or more detected actions using a pre-trained artificial intelligence; and a determining means for determining whether or not there is a bug in the performance control program based on the estimated performance using an artificial intelligence that has previously learned the behavior of the gaming machine that indicates abnormal behavior. The system wherein the one or more movements include at least one of sound, vibration, and wind.

8. A system for debugging a performance control program that controls a performance device of a gaming machine, a detection device that detects two or more different operations of the performance device based on the performance control program; an estimation means for estimating an effect issued by the gaming machine from the detected two or more actions using an artificial intelligence that has been trained in advance to estimate one of a plurality of predetermined effects from the two or more actions; and a determination means for determining whether or not there is a bug in the performance control program based on the estimated performance. The system, wherein one of the operations is one of an image, a sound, a vibration, and a wind, and the other of the operations is another one of an image, a sound, a vibration, and a wind.

9. A system for determining whether there is an abnormality in the presentation of a gaming machine, A detection device that detects one or more operations of a presentation device in the gaming machine; An estimation means for estimating an effect issued by the gaming machine from one or more detected actions using a pre-trained artificial intelligence; and a determination means for determining whether or not there is an abnormality in the estimated presentation using an artificial intelligence that has previously learned the behavior of the gaming machine that indicates abnormal behavior. The system wherein the one or more movements include at least one of sound, vibration, and wind.

10. A system for determining whether there is an abnormality in the presentation of a gaming machine, a detection device for detecting two or more different actions of a performance device in the gaming machine; An artificial intelligence that has been trained in advance to infer one of a plurality of predetermined effects from two or more actions is used to infer an effect issued by the gaming machine from the two or more detected actions. an estimation means for determining A determination means for determining whether or not there is an abnormality in the estimated effect, A system in which one of the operations is one of an image, a sound, a vibration, and a wind, and the other of the operations is another one of an image, a sound, a vibration, and a wind.

11. The detection device comprises: a camera for photographing the visual effects of the gaming machine; means for detecting an auditory effect from the gaming machine; a vibration sensor for detecting vibrations of the gaming machine; and 10. The system according to claim 6, further comprising at least one wind sensor for detecting wind from the gaming machine.

12. A device for debugging a performance control program that controls a performance device of a gaming machine, an estimation means for estimating an effect issued by the gaming machine from one or more operations of an effect device based on the effect control program detected by a detection device using a pre-trained artificial intelligence; and a determining means for determining that there is a bug in the effect control program when the estimated effect does not match the effect indicated by the issued effect information output from the gaming machine; The device, wherein the one or more movements include at least one of sound, vibration, and wind.

13. A device for debugging a performance control program that controls a performance device of a gaming machine, an estimation means for estimating an effect issued by the gaming machine from one or more operations of an effect device based on the effect control program detected by a detection device using a pre-trained artificial intelligence; and a determining means for determining whether or not there is a bug in the performance control program based on the estimated performance using an artificial intelligence that has previously learned the behavior of the gaming machine that indicates abnormal behavior. The device, wherein the one or more movements include at least one of sound, vibration, and wind.

14. A device for debugging a performance control program that controls a performance device of a gaming machine, an estimation means for estimating an effect issued by the gaming machine from two or more different actions of the effect device based on the effect control program detected by a detection device, using an artificial intelligence that has been previously trained to estimate one of a plurality of predetermined effects from two or more actions; and a determination means for determining whether or not there is a bug in the performance control program based on the estimated performance. The apparatus, wherein one of the operations is one of an image, a sound, a vibration, and a wind, and the other of the operations is another one of an image, a sound, a vibration, and a wind.

15. A device for determining whether there is an abnormality in the presentation of a gaming machine, an estimation means for estimating an effect issued by the gaming machine from one or more operations of an effect device in the gaming machine detected by a detection device using a pre-trained artificial intelligence; and a determination means for determining whether or not there is an abnormality in the estimated presentation using an artificial intelligence that has previously learned the behavior of the gaming machine that indicates abnormal behavior. The device, wherein the one or more movements include at least one of sound, vibration, and wind.

16. A device for determining whether there is an abnormality in the presentation of a gaming machine, an estimation means for estimating an effect issued by the gaming machine from two or more different actions of an effect device in the gaming machine detected by a detection device, using an artificial intelligence that has been previously trained to estimate one of a plurality of predetermined effects from two or more actions; A determination means for determining whether or not there is an abnormality in the estimated effect, The apparatus, wherein one of the operations is one of an image, a sound, a vibration, and a wind, and the other of the operations is another one of an image, a sound, a vibration, and a wind.

Images