KR20230120236A - Method for evaluating the level and trading of artificial intelligence character, and the system thereof - Google Patents

Abstract

The present invention evaluates the level according to the amount of learning of the artificial intelligence character accumulated through a conversation service, and based on the evaluated level, the level evaluation and trading method of the artificial intelligence character and trading method, and the system it's about

Description

Level evaluation and trading method of artificial intelligence character, and its system

The present invention relates to a level evaluation and transaction method of an artificial intelligence character, and a system therefor, and more particularly, to a level evaluation according to an amount of learning of an artificial intelligence character accumulated through a conversation service, and an artificial intelligence character based on the evaluated level. It is about the technology of trading character learning data.

Artificial intelligence is revolutionizing business, organisations, lifestyles and communication methods. Various informatization projects are being carried out to provide optimal services to the fast-changing lifestyle of modern culture and the diverse and constantly changing requirements of customers. Among them, big data and deep learning-related technologies are rapidly changing. Artificial intelligence technology that has been developed and applied to real life in certain fields has been implemented, and it is also applied to intelligent personal services that analyze specific data and provide and utilize information in various fields specialized to individuals. Currently, human interaction with artificial intelligence is limited, but it takes place in everyday natural language, that is, in the form of conversation. Although it is still at a rudimentary stage, control of various home appliances connected to the network is being carried out in a voice-based conversation method, and search for specific information, inquiry, and response are becoming possible through a knowledge base to which deep learning is applied.

Korean Patent Publication No. 10-2021-0156741 (published on December 27, 2021)

An object of the present invention is to evaluate the level of an artificial intelligence character based on the amount of learning of an artificial intelligence character accumulated in a conversation service between an artificial intelligence character and followers following the artificial intelligence character.

An object of the present invention is an artificial intelligence character built by the amount of learning based on the level of the artificial intelligence character evaluated based on the amount of learning of the artificial intelligence character accumulated in a conversation service between an artificial intelligence character and followers following the artificial intelligence character. I want to trade learning data.

However, the technical problems to be solved by the present invention are not limited to the above problems, and can be variously expanded without departing from the technical spirit and scope of the present invention.

A method for level evaluation and trading of an artificial intelligence character according to an embodiment of the present invention includes providing a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character, the conversation service Evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through and displaying the level of the artificial intelligence character according to the evaluation result.

In addition, the artificial intelligence character level evaluation and trading method according to an embodiment of the present invention recommends and exposes the artificial intelligence character to a second artificial intelligence character according to the level of the artificial intelligence character, and the level of the artificial intelligence character A step of providing an additional service according to may be further included.

A method for evaluating and trading a level of an artificial intelligence character according to another embodiment of the present invention includes providing a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character, the conversation service Evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through and trading the learning data of the artificial intelligence character built by the amount of learning based on the evaluation result.

An artificial intelligence character level evaluation and trading system according to an embodiment of the present invention includes a conversation providing unit for providing a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character; A level evaluation unit for evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service, and a level display unit for displaying the level of the artificial intelligence character according to the evaluation result.

In addition, the artificial intelligence character level evaluation and trading system according to an embodiment of the present invention recommends and exposes the artificial intelligence character to a second artificial intelligence character according to the level of the artificial intelligence character, and the level of the artificial intelligence character It may further include a provision unit for providing additional services according to.

A level evaluation and trading system of an artificial intelligence character according to another embodiment of the present invention includes a conversation providing unit for providing a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character; A level evaluation unit that evaluates the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service, and data for trading the learning data of the artificial intelligence character built by the amount of learning based on the evaluation result Including transaction department.

According to an embodiment of the present invention, by evaluating the level of the artificial intelligence character based on the amount of learning of the artificial intelligence character accumulated in the conversation service between the artificial intelligence character and the followers following the artificial intelligence character, It can provide the conversation ability of an artificial intelligence character.

According to an embodiment of the present invention, artificial intelligence built by the amount of learning based on the level of the artificial intelligence character evaluated based on the amount of learning of the artificial intelligence character accumulated in the conversation service between the artificial intelligence character and the followers following the artificial intelligence character. By trading the learning data of an intelligent character, it is possible to trade the conversation skills of an artificial intelligence character.

However, the effects of the present invention are not limited to the above effects, and can be variously extended without departing from the technical spirit and scope of the present invention.

1 illustrates an exemplary diagram for explaining a network environment according to an embodiment of the present invention.
FIG. 2 is an exemplary view for explaining internal configurations of the electronic device and server shown in FIG. 1 .
3 is an operation flowchart of a method for evaluating the level of an artificial intelligence character according to an embodiment of the present invention.
4 to 7 illustrate an embodiment of a method for evaluating the level of an artificial intelligence character according to an embodiment of the present invention.
8 is a flowchart illustrating an operation of a transaction method of an artificial intelligence character according to another embodiment of the present invention.
9 illustrates a configuration of an artificial intelligence character level evaluation system according to an embodiment of the present invention.
10 illustrates the configuration of an artificial intelligence character trading system according to another embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various forms different from each other, only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention pertains. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims.

Terms used in this specification are for describing the embodiments and are not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" means that a stated component, step, operation, and/or element is present in the presence of one or more other components, steps, operations, and/or elements. or do not rule out additions.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used in a meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in more detail. The same reference numerals are used for the same components in the drawings, and redundant descriptions of the same components are omitted.

A level evaluation and trading method of an artificial intelligence character according to an embodiment of the present invention, and a system therefor, are accumulated while exchanging conversations in a conversation service between an artificial intelligence character and a follower following an artificial intelligence character using an online chat server. The main point is to evaluate the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character, and to trade the learning data of the artificial intelligence character based on the evaluation result.

The online chatting server of the present invention provides a conversation service between the creation of an artificial intelligence character in the form of a mobile application, the created artificial intelligence character and followers following the artificial intelligence character, and a predetermined learning degree among free conversations. The level of the artificial intelligence character can be evaluated based on the amount of learning according to whether or not it is satisfied. Accordingly, creators (or users) create their own artificial intelligence characters through applications installed on their terminals, and use the created artificial intelligence characters to freely communicate with their followers, or through pre-learned conversations through the automatic response function. It is an artificial intelligence character based on the engine and can have automatic conversations with followers. Here, the follower may be an artificial intelligence character or creator following an artificial intelligence character.

A creator (or user) may perform a conversation service through at least one terminal (or electronic device) of a smartphone, a desktop PC, a mobile terminal, a PDA, a laptop computer, and a tablet PC. At this time, the present invention can receive information according to a user's selection input through an application in a terminal possessed by the user, and the terminal can perform operations of a predetermined set of functions through a screen including a touch-sensing area. It may include a display in the form of a touch screen capable of performing, and may be a device including one or more physical buttons or virtual buttons, so the type and form are not limited thereto.

Hereinafter, the present invention will be described in detail with reference to FIGS. 1 to 10 .

FIG. 1 shows an exemplary diagram for explaining a network environment according to an embodiment of the present invention, and the network environment of FIG. 1 includes a plurality of electronic devices 110, 120, 130, and 140, and a plurality of servers. An example including (150, 160) and network 170 is shown. 1 is an example for explanation of the invention, and the number of electronic devices or servers is not limited as shown in FIG. 1 .

The plurality of electronic devices 110, 120, 130, and 140 may be mobile terminals implemented as computer devices. Examples of the plurality of electronic devices 110, 120, 130, and 140 include smart phones, mobile phones, tablet PCs, navigation devices, computers, laptop computers, digital broadcasting terminals, personal digital assistants (PDAs), and PMPs ( Portable Multimedia Player), user wearable devices (wearable devices), and the like. For example, the first electronic device 110 may communicate with the other electronic devices 120, 130, and 140 and/or the servers 150 and 160 through the network 170 using a wireless or wired communication method.

The communication method is not limited, and short-distance wireless communication between devices as well as a communication method utilizing a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, and a broadcasting network) that the network 170 may include may also be included. For example, the network 170 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , one or more arbitrary networks such as the Internet. In addition, the network 170 may include any one or more of network topologies including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. Not limited.

Each of the servers 150 and 160 communicates with the plurality of electronic devices 110, 120, 130, and 140 through the network 170 to provide commands, codes, files, contents, services, and the like, or a computer device or a plurality of computers. It can be implemented in devices.

For example, the server 160 may provide a file for installing an application to the first electronic device 110 accessed through the network 170 . In this case, the first electronic device 110 may install an application using a file provided from the server 160 . In addition, the server 150 is connected to the server 150 under the control of an operating system (OS) included in the first electronic device 110 or at least one program (for example, a browser or the installed application), and the server 150 provides services or content may be provided. For example, when the first electronic device 110 transmits a service request message to the server 150 through the network 170 under the control of an application, the server 150 transmits a code corresponding to the service request message to the first It can be transmitted to the electronic device 110, and the first electronic device 110 can provide content to the user by configuring and displaying a screen according to a code under the control of an application.

FIG. 2 shows an exemplary view for explaining the internal configuration of the electronic device and server shown in FIG. 1, and in FIG. 2, a first electronic device 110 as an example of one electronic device that is a terminal owned by a user. ), and the internal configuration of the server 150 will be described as an example for one server communicating with the user's terminal. Accordingly, hereinafter, the first electronic device 110 means a user's terminal, and the server 150 means a server communicating with the user's terminal. Other electronic devices 120 , 130 , and 140 or the server 160 may also have the same or similar internal configuration.

The first electronic device 110 and the server 150 may include memories 211 and 221, processors 212 and 222, communication modules 213 and 223, and input/output interfaces 214 and 224. The memories 211 and 221 are computer-readable recording media and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. In addition, the memories 211 and 221 may store an operating system or at least one program code (for example, a code for an application installed and driven in the first electronic device 110). These software components may be loaded from a computer readable recording medium separate from the memories 211 and 221 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, software components may be loaded into the memories 211 and 221 through the communication modules 213 and 223 rather than computer-readable recording media. For example, at least one program is a program installed by files provided by developers or a file distribution system (eg, the above-described server 160) that distributes installation files of applications through the network 170 (eg, the above-described server 160). It may be loaded into the memories 211 and 221 based on the above-described application).

The processors 212 and 222 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processors 212 and 222 by memories 211 and 221 or communication modules 213 and 223 . For example, the processors 212 and 222 may be configured to execute instructions received according to program codes stored in a recording device such as the memories 211 and 221 .

The communication modules 213 and 223 may provide a function for the first electronic device 110 and the server 150 to communicate with each other through the network 170, and other electronic devices (for example, the second electronic device 120). )) or a function for communicating with another server (for example, the server 160). For example, a request generated by the processor 212 of the first electronic device 110 according to a program code stored in a recording device such as the memory 211 (for example, a search request) is transmitted to the network under the control of the communication module 213. It may be transmitted to the server 150 through 170. Conversely, control signals, commands, contents, files, etc. provided under the control of the processor 222 of the server 150 pass through the communication module 223 and the network 170 to the communication module of the first electronic device 110. It can be received by the first electronic device 110 through 213. For example, control signals or commands of the server 150 received through the communication module 213 may be transmitted to the processor 212 or memory 211, and contents or files may be transferred to the first electronic device 110. Can be stored in a storage medium that can further include.

The input/output interface 214 may be a means for interface with the input/output device 215 . For example, the input device may include a device such as a keyboard or mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input/output interface 214 may be a means for interface with a device in which functions for input and output are integrated into one, such as a touch screen. As a more specific example, the processor 212 of the first electronic device 110 uses data provided by the server 150 or the second electronic device 120 in processing the command of the computer program loaded into the memory 211. The service screen or content configured as above may be displayed on the display through the input/output interface 214 . Similarly, the input/output interface 224 may output information configured using data provided by the server 150 when the processor 222 of the server 150 processes the command of the computer program loaded into the memory 221. there is.

Also, in other embodiments, the first electronic device 110 and the server 150 may include more components than those shown in FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the first electronic device 110 is implemented to include at least some of the above-described input/output devices 215 or other devices such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. It may contain more components. As a more specific example, when the first electronic device 110 is a smartphone, a direction sensor, an acceleration sensor or a gyro sensor, a camera, various physical buttons, buttons using a touch panel, an input/output port, It can be seen that various components such as a vibrator for vibration may be implemented to be further included in the first electronic device 110 .

Hereinafter, specific embodiments of a method for level evaluation and trading of an artificial intelligence character and a system thereof according to an embodiment of the present invention will be described.

3 is an operation flowchart of a method for evaluating the level of an artificial intelligence character according to an embodiment of the present invention, and the method of FIG. 3 is a level evaluation of an artificial intelligence character according to an embodiment of the present invention shown in FIG. It shows the operation flow diagram in the system or server.

Referring to FIG. 3 , in step S310, a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character is provided.

Step S310 can be created by the creator through a function for creating an artificial intelligence character provided by the system of the present invention. For example, in step S310, a face image, tone of voice, personality, conversation field of interest (or conversation content of interest), name, gender, character introduction, etc. are set by a user who is a creator, so that a preset basic conversation engine is learned and artificial You can create intelligent characters. At this time, the artificial intelligence character created in step S310 can exchange conversations with followers (artificial intelligence characters or creators) who follow the artificial intelligence character with the tone of voice and the content of conversations of interest set by the user who is the creator.

AI characters can communicate with followers using a conversation engine. At this time, the user can train the conversation engine so that the artificial intelligence character can communicate with the answer method or answer content desired by the user. That is, the present invention develops a conversation engine of an artificial intelligence character little by little through conversation according to a user's request, and the conversation engine of an artificial intelligence character can be repeatedly learned and improved by a user.

In addition, at least one hash tag set by the creator may be given to the artificial intelligence character created in step S310 so that other users can search for the artificial intelligence character created by the creator through keywords such as areas of interest in conversation. . For example, if the artificial intelligence character's hashtags are set to '#golf' and '#sports' by the creator, the artificial intelligence character can be searched for golf and sports, and conversations about golf and sports can be performed. It can be classified as an artificial intelligence character with

As described above, when the artificial intelligence character is created, a conversation service between the artificial intelligence character and followers following the artificial intelligence character is provided in step S310.

After the artificial intelligence character is created by the creator, if there are followers who follow the artificial intelligence character, a conversation service can be provided in the chat room between the artificial intelligence character and the followers in step S310. In this case, the follower may be an artificial intelligence character or a creator who creates an artificial intelligence character. For example, when an artificial intelligence character and a follower of the artificial intelligence character have a conversation, an automatic response function is turned on, and conversations can be exchanged based on a pre-learned conversation engine without intervention by the creator. As another example, when a creator and an artificial intelligence character, an artificial intelligence character and a creator, or a creator and a creator, that is, at least one person are involved in a conversation, the automatic response function is turned off so that the creator can participate and freely exchange conversations. can

As described above, step S310 may provide a conversation service in which the automatic response function is turned on/off depending on whether the creator participates in the chat room, but even if the creator does not participate in the chat room, a specific chat room is automatically opened. You can also keep the response function on (ON) or off (OFF) state.

In step S320, the level of the artificial intelligence character is evaluated according to the amount of learning of the artificial intelligence character accumulated through the conversation service.

Step S320 may evaluate whether the level of the artificial intelligence character has risen based on the amount of conversation through the conversation service between the artificial intelligence character and at least one follower. Specifically, in step S320, the level of the artificial intelligence character may be evaluated according to whether or not a preset level of learning for level increase is met using conversation volume.

The artificial intelligence character created by the creator can communicate with at least one or more artificial intelligence characters or creators, and the more conversations, that is, the more conversations are accumulated, the more the level of AI character can be raised. It becomes the basis for making it possible. In addition, the creator can satisfy the level of learning that can increase the level of the artificial intelligence character by inputting an answer to the conversation message provided by the present invention. In the present invention, the predetermined level of learning may be satisfied according to whether or not the artificial intelligence character answers a predetermined question, the amount of chatting content learning, and the amount of tail-talking conversation learning.

For example, a predetermined level of learning is designated for each level, such as level 1 and level 2, and in order to go from level 1 to level 2, the predetermined level of learning must be satisfied to satisfy the amount of learning of the artificial intelligence character. For example, the artificial intelligence character or creator can meet the amount of chat content learning by exchanging many conversations with at least one or more artificial intelligence characters or creators, and in step S320, it is determined that the chat content learning amount to be met in level 1 has been met. By doing so, the level increase of the AI character can be evaluated. As another example, if the creator responds to 'hello' provided by the system of the present invention and performs a tailgating conversation, step S320 determines whether or not the question to be satisfied in level 1 is answered and the amount of tailgating conversation learning. If it is determined that it is satisfied, the level increase of the AI character can be evaluated. However, the degree of learning is not limited to the above, and may be satisfied by answering pre-specified questions of the artificial intelligence character according to each level, learning amount of chatting contents, and learning amount of tail chatting.

In step S330, the level of the artificial intelligence character according to the evaluation result is displayed.

In step S330, when the conversation service is terminated, the amount of learning based on the degree of learning satisfied through the conversation service may be displayed on the artificial intelligence character. For example, when an artificial intelligence character and an artificial intelligence character or creator exchange a conversation and end a conversation service, the degree of learning satisfied through the conversation service may be quantified and the current learning amount of the artificial intelligence character may be displayed.

An artificial intelligence character level evaluation method according to an embodiment of the present invention recommends and exposes an artificial intelligence character to a second artificial intelligence character according to the level of the artificial intelligence character, and provides additional services according to the level of the artificial intelligence character Step S340 may be further included.

For example, in step S340, the artificial intelligence character may be exposed or recommended to an appropriate conversation partner according to the level of the artificial intelligence character. For example, in step S340, an artificial intelligence character of level 10 may be exposed or recommended to an artificial intelligence character or creator of the same level. In addition, an artificial intelligence character of level 10 may be exposed or recommended to an artificial intelligence character or creator who wants to communicate with an artificial intelligence character of level 10 or higher.

As another example, in step S340, additional services may be provided to the artificial intelligence character according to the level of the artificial intelligence character. For example, in step S340, if the level is 10 or higher, an additional service such as adjusting the amount of learning so that the level up is easier than before can be provided to the artificial intelligence character.

As another example, in step S340, a reward may be provided according to the level of the artificial intelligence character. For example, in step S340, when the level is 10 or higher, a reward such as an item for decorating an artificial intelligence character may be provided.

4 to 7 illustrate an embodiment of a method for evaluating the level of an artificial intelligence character according to an embodiment of the present invention.

4 shows an example in which the level of an artificial intelligence character is displayed. Referring to FIG. 4, the level 401 of an artificial intelligence character is displayed, and learning, which is a condition for rising to the next level, that is, level 2, is displayed near the level. The degree 402 can be checked. In the case of level 1 as shown in FIG. 4 , a learning degree 402 suitable for level 1 is given, and a learning amount 403 satisfying the learning degree 402 may be displayed. When the amount of learning 403 satisfies all the levels of learning 402, the level 2 can be raised.

In the present invention, the artificial intelligence character created by the creator can communicate with at least one or more artificial intelligence characters or creators, and the more conversations, that is, the more conversations are accumulated, the higher the level of the artificial intelligence character. It becomes the basis for meeting the level. The creator can satisfy the level of learning that can increase the level of the artificial intelligence character by inputting an answer to the conversation message provided by the present invention. Here, the predetermined level of learning may be satisfied according to whether or not the artificial intelligence character answers a predetermined question (or conversation), the amount of learning in chatting, and the amount of learning in tail-talking.

Hereinafter, an embodiment in which a level of learning is satisfied according to an answer to a pre-specified question and an amount of learning in a tail-talking conversation will be described. Satisfying the level of learning through the amount of chat content learning may be satisfied in proportion to the amount of conversation, that is, as the creator or the artificial intelligence character has many conversations with at least one or more artificial intelligence characters or creators.

To describe an example of satisfying the learning level with reference to FIGS. 5 and 6 , as shown in FIG. 5 , the creator may satisfy the learning level by inputting an answer to a predetermined question to an artificial intelligence character. Referring to FIG. 5, ‘I will try to have a good day!’, ‘Hahaha, have a nice day everyone!’, ‘Hello! A predetermined message 510 such as 'Nice to meet you!' is provided, and the creator can satisfy the level of learning by inputting an answer to each message 510. In addition, referring to FIG. 6 , a tail chat message 610 of 'I'll try to have a good day!' is provided, and the creator inputs an answer to the tail chat message 610 to determine the degree of learning. be able to satisfy Here, tail-biting means that when a creator inputs an answer to 'I'll try to have a good day!', the artificial intelligence character 'Audrey' tails off the conversation and provides another conversation message, and the creator responds with another message. Represents a dialog learning engine that subsequently inputs an answer to a dialog message.

If the level of learning is met through FIGS. 5 and 6, the present invention provides a notification pop-up window 710 indicating that the conversation has been learned when the conversation service is terminated as shown in FIG. 7, and the learning satisfied through the conversation service. By quantifying the degree and providing it, the creator can immediately check the learning level and amount of learning of his/her artificial intelligence character.

8 is an operation flow chart of an artificial intelligence character trading method according to another embodiment of the present invention, and the method of FIG. 8 is an artificial intelligence character trading system according to another embodiment of the present invention shown in FIG. 10 or It shows the operation flow diagram in the server.

Referring to FIG. 8 , in step S810, a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character is provided.

Step S810 can be created by the creator through a function for creating an artificial intelligence character provided by the system of the present invention. For example, in step S810, a face image, tone of voice, personality, conversation field of interest (or conversation content of interest), name, gender, character introduction, etc. are set by a user who is a creator, so that a preset basic conversation engine is learned and artificial You can create intelligent characters. At this time, the artificial intelligence character created in step S810 can exchange conversations with followers (artificial intelligence characters or creators) who follow the artificial intelligence character with the tone of voice and conversations of interest set by the user who is the creator.

AI characters can communicate with followers using a conversation engine. At this time, the user can train the conversation engine so that the artificial intelligence character can communicate with the answer method or answer content desired by the user. That is, the present invention develops a conversation engine of an artificial intelligence character little by little through conversation according to a user's request, and the conversation engine of an artificial intelligence character can be repeatedly learned and improved by a user.

In addition, at least one hash tag set by the creator may be given to the artificial intelligence character created in step S810 so that other users can search for the artificial intelligence character created by the creator through keywords such as areas of interest in conversation. . For example, if the artificial intelligence character's hashtags are set to '#golf' and '#sports' by the creator, the artificial intelligence character can be searched for golf and sports, and conversations about golf and sports can be performed. It can be classified as an artificial intelligence character with

As described above, when the artificial intelligence character is created, a conversation service between the artificial intelligence character and followers following the artificial intelligence character is provided in step S810.

After the artificial intelligence character is created by the creator, if there are followers who follow the artificial intelligence character, a conversation service can be provided in the chat room between the artificial intelligence character and the followers in step S810. In this case, the follower may be an artificial intelligence character or a creator who creates an artificial intelligence character. For example, when an artificial intelligence character and a follower of the artificial intelligence character have a conversation, an automatic response function is turned on, and conversations can be exchanged based on a pre-learned conversation engine without intervention by the creator. As another example, when a creator and an artificial intelligence character, an artificial intelligence character and a creator, or a creator and a creator, that is, at least one person are involved in a conversation, the automatic response function is turned off so that the creator can participate and freely exchange conversations. can

In step S820, the level of the artificial intelligence character is evaluated according to the amount of learning of the artificial intelligence character accumulated through the conversation service.

Step S820 may evaluate whether or not the level of the artificial intelligence character has risen based on the amount of conversation through the conversation service between the artificial intelligence character and at least one follower. Specifically, in step S820, the level of the artificial intelligence character may be evaluated according to whether or not a preset level of learning for level increase is met using conversation volume.

The artificial intelligence character created by the creator can communicate with at least one or more artificial intelligence characters or creators, and the more conversations, that is, the more conversations are accumulated, the more the level of AI character can be raised. It becomes the basis for making it possible. In addition, the creator can satisfy the level of learning that can increase the level of the artificial intelligence character by inputting an answer to the conversation message provided by the present invention. In the present invention, the predetermined level of learning may be satisfied according to whether or not the artificial intelligence character answers a predetermined question, the amount of chatting content learning, and the amount of tail-talking conversation learning.

For example, a predetermined level of learning is designated for each level, such as level 1 and level 2, and in order to go from level 1 to level 2, the predetermined level of learning must be satisfied to satisfy the amount of learning of the artificial intelligence character. For example, the artificial intelligence character or creator can meet the amount of chat content learning by exchanging many conversations with at least one or more artificial intelligence characters or creators, and in step S820, it is determined that the chat content learning amount to be satisfied in level 1 has been met. By doing so, the level increase of the AI character can be evaluated. As another example, if the creator responds to 'hello' provided by the system of the present invention and performs a tailgating conversation, step S820 determines whether the questions to be met at level 1 are answered and the amount of tailgating conversation learning. If it is determined that it is satisfied, the level increase of the AI character can be evaluated. However, the degree of learning is not limited to the above, and may be satisfied by answering pre-specified questions of the artificial intelligence character according to each level, learning amount of chatting contents, and learning amount of tail chatting.

In step S830, based on the evaluation result, the learning data of the artificial intelligence character built by the amount of learning is traded.

In step S830, learning data representing the conversation ability of an artificial intelligence character who has achieved a specific level in a specific field may be sold to a second artificial intelligence character. In more detail, in step S830, based on the level of the artificial intelligence character designated according to the evaluation result, learning data built by the learning amount of the artificial intelligence character may be traded with the second artificial intelligence character.

For example, in the case of a creator who has a lot of interest in sports, and especially golf, artificial intelligence characters can also be set and learned as hashtags of ‘#golf’ and ‘#sports’. As the artificial intelligence character who is interested in golf levels up, learning data on 'golf' is accumulated, and in step S830 according to another embodiment of the present invention, learning data on golf of the accumulated artificial intelligence character is stored. can be traded to other AI characters (or creators) who are interested in At this time, step S830 is a transaction process between a creator who wants to sell learning data on golf and a creator who wants to purchase learning data on golf, that is, a commission of a certain amount is received from the creator who wants to purchase and provided to the creator who wants to sell it, Learning data on golf may be received from creators who wish to sell and provided to creators who wish to purchase. Accordingly, a creator who purchases golf-related learning data can teach the golf-related learning data to an artificial intelligence character.

According to an embodiment, S creator may purchase learning data A on golf from creator A and learning data B on golf from creator B to learn the S artificial intelligence character of S creator. Afterwards, when the S artificial intelligence character exchanges golf-related conversations with the follower, if overlapping data between the A learning data and the B learning data occurs in response to the follower's conversation question, the present invention provides the S artificial intelligence character It is possible to provide an answer by probabilistically outputting appropriate data among learning data A and learning data B in the conversation flow between the user and the follower. That is, the creator can purchase a plurality of learning data to learn the artificial intelligence character, and in the method of trading the artificial intelligence character according to another embodiment of the present invention, when the learning data collides, the creator probabilistically outputs suitable data to provide an answer. can provide

Accordingly, the artificial intelligence character trading method according to another embodiment of the present invention trades the conversation ability of a creator who has established professional learning data in a specific field by achieving a specific level in a specific field, Skills can be shared and fees can be paid accordingly.

9 shows a configuration of an artificial intelligence character level evaluation system according to an embodiment of the present invention, and shows a conceptual configuration of a server or system that performs a level evaluation method of an artificial intelligence character.

Referring to FIG. 9 , the level evaluation system 900 of an artificial intelligence character according to an embodiment of the present invention includes a conversation providing unit 910, a level evaluation unit 920, a level display unit 930, and a providing unit 940. and DB 950.

DB (DataBase; Database, 950) is a means for storing information related to the present invention, and can store and manage information about artificial intelligence characters, learning amount according to learning level, and guide information of level evaluation criteria of artificial intelligence characters. . Of course, the DB 950 is not limited to the above data, and can store all data of the present invention.

The conversation providing unit 910 provides a conversation service between an artificial intelligence character generated based on a creator's input and followers following the artificial intelligence character.

The conversation providing unit 910 may be created by a creator through a function for generating an artificial intelligence character provided by the system of the present invention. For example, the conversation providing unit 910 is a preset basic conversation engine by setting a face image, tone of voice, personality, conversation field of interest (or conversation content of interest), name, gender, character introduction content, etc. by a user who is a creator. This learning can create an artificial intelligence character. At this time, the artificial intelligence character created by the conversation providing unit 910 communicates with followers (artificial intelligence characters or creators) who follow the artificial intelligence character with the tone of speech and conversation contents of interest set by the user who is the creator. can

AI characters can communicate with followers using a conversation engine. At this time, the user can train the conversation engine so that the artificial intelligence character can communicate with the answer method or answer content desired by the user. That is, the present invention develops a conversation engine of an artificial intelligence character little by little through conversation according to a user's request, and the conversation engine of an artificial intelligence character can be repeatedly learned and improved by a user.

In addition, the artificial intelligence character created by the conversation provider 910 includes at least one hash tag set by the creator so that other users can search for the artificial intelligence character created by the creator through keywords such as areas of interest in conversation. can be granted For example, if the artificial intelligence character's hashtags are set to '#golf' and '#sports' by the creator, the artificial intelligence character can be searched for golf and sports, and conversations about golf and sports can be performed. It can be classified as an artificial intelligence character with

As described above, when an artificial intelligence character is created, the conversation providing unit 910 provides a conversation service between the artificial intelligence character and followers following the artificial intelligence character.

After an artificial intelligence character is created by a creator and followers who follow the corresponding artificial intelligence character arise, the conversation providing unit 910 may provide a conversation service in a chat room between the artificial intelligence character and followers. In this case, the follower may be an artificial intelligence character or a creator who creates an artificial intelligence character. For example, when an artificial intelligence character and a follower of the artificial intelligence character have a conversation, an automatic response function is turned on, and conversations can be exchanged based on a pre-learned conversation engine without intervention by the creator. As another example, when a creator and an artificial intelligence character, an artificial intelligence character and a creator, or a creator and a creator, that is, at least one person are involved in a conversation, the automatic response function is turned off so that the creator can participate and freely exchange conversations. can

The level evaluation unit 920 evaluates the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service.

The level evaluation unit 920 may evaluate whether the level of the artificial intelligence character has risen based on the amount of conversation through the conversation service between the artificial intelligence character and at least one follower. Specifically, the level evaluator 920 may evaluate the level of the artificial intelligence character according to whether or not a preset level of learning for level increase is satisfied using conversation volume.

The artificial intelligence character created by the creator can communicate with at least one or more artificial intelligence characters or creators, and the more conversations, that is, the more conversations are accumulated, the more the level of AI character can be raised. It becomes the basis for making it possible. In addition, the creator can satisfy the level of learning that can increase the level of the artificial intelligence character by inputting an answer to the conversation message provided by the present invention. In the present invention, the predetermined level of learning may be satisfied according to whether or not the artificial intelligence character answers a predetermined question, the amount of chatting content learning, and the amount of tail-talking conversation learning.

For example, a predetermined level of learning is designated for each level, such as level 1 and level 2, and in order to go from level 1 to level 2, the predetermined level of learning must be satisfied to satisfy the amount of learning of the artificial intelligence character. For example, the artificial intelligence character or creator may communicate with at least one or more artificial intelligence characters or creators a lot to meet the amount of chat content learning, and the level evaluation unit 920 determines the amount of chat content learning to be met at level 1. It is determined that the level of the artificial intelligence character has been met, and the level increase of the artificial intelligence character can be evaluated. As another example, when the creator responds to 'hello' provided by the system of the present invention and conducts a tailgate conversation, the level evaluation unit 920 determines whether or not the question to be met at level 1 is answered and the tail It is judged that the amount of conversation learning has been met, and the level increase of the artificial intelligence character can be evaluated. However, the degree of learning is not limited to the above, and may be satisfied by answering pre-specified questions of the artificial intelligence character according to each level, learning amount of chatting contents, and learning amount of tail chatting.

The level display unit 930 displays the level of the artificial intelligence character according to the evaluation result.

When ending the conversation service, the level display unit 930 may display the amount of learning based on the level of learning satisfied through the conversation service on the artificial intelligence character. For example, when an artificial intelligence character and an artificial intelligence character or creator exchange a conversation and end a conversation service, the degree of learning satisfied through the conversation service may be quantified and the current learning amount of the artificial intelligence character may be displayed.

The provision unit 940 may recommend and expose the artificial intelligence character to the second artificial intelligence character according to the level of the artificial intelligence character, and provide additional services according to the level of the artificial intelligence character.

For example, the provision unit 940 may expose or recommend an artificial intelligence character to an appropriate conversation partner according to the level of the artificial intelligence character. For example, the providing unit 940 may expose or recommend an artificial intelligence character of level 10 to an artificial intelligence character or creator of the same level. In addition, an artificial intelligence character of level 10 may be exposed or recommended to an artificial intelligence character or creator who wants to communicate with an artificial intelligence character of level 10 or higher.

As another example, the providing unit 940 may provide additional services to the artificial intelligence character according to the level of the artificial intelligence character. For example, the providing unit 940 may provide an additional service such as adjusting the amount of learning so that the level up is easier than before to the artificial intelligence character when the level is 10 or higher.

As another example, the provision unit 940 may provide a reward according to the level of the artificial intelligence character. For example, the providing unit 940 may provide a reward such as an item for decorating an artificial intelligence character when the level is 10 or higher.

10 shows the configuration of an artificial intelligence character trading system according to another embodiment of the present invention, and shows a conceptual configuration of a server or system that performs a trading method of an artificial intelligence character.

Referring to FIG. 10, the artificial intelligence character trading system 1000 according to another embodiment of the present invention includes a conversation providing unit 1010, a level evaluation unit 1020, a data trading unit 1030, and a DB 1040. include

DB (DataBase; database, 1040) is a means for storing information related to the present invention, and stores information on artificial intelligence characters, guide information on the amount of learning and level evaluation criteria of artificial intelligence characters, and transaction-related information and can be managed. Of course, the DB 1040 is not limited to the above data, and can store all data of the present invention.

The conversation providing unit 1010 provides a conversation service between an artificial intelligence character generated based on a creator's input and followers following the artificial intelligence character.

The conversation providing unit 1010 may be created by a creator through a function for generating an artificial intelligence character provided by the system of the present invention. For example, the conversation providing unit 1010 is a preset basic conversation engine by setting a face image, tone of voice, personality, conversation field of interest (or conversation content of interest), name, gender, character introduction content, etc. by a user who is a creator. This learning can create an artificial intelligence character. At this time, the artificial intelligence character generated by the conversation providing unit 1010 communicates with followers (artificial intelligence characters or creators) who follow the artificial intelligence character with the tone of speech and conversation contents of interest set by the user who is the creator. can

AI characters can communicate with followers using a conversation engine. At this time, the user can train the conversation engine so that the artificial intelligence character can communicate with the answer method or answer content desired by the user. That is, the present invention develops a conversation engine of an artificial intelligence character little by little through conversation according to a user's request, and the conversation engine of an artificial intelligence character can be repeatedly learned and improved by a user.

In addition, the artificial intelligence character created by the conversation provider 1010 includes at least one hash tag set by the creator so that other users can search for the artificial intelligence character created by the creator through keywords such as areas of interest in conversation. can be granted For example, if the artificial intelligence character's hashtags are set to '#golf' and '#sports' by the creator, the artificial intelligence character can be searched for golf and sports, and conversations about golf and sports can be performed. It can be classified as an artificial intelligence character with

As described above, when an artificial intelligence character is created, the conversation providing unit 1010 provides a conversation service between the artificial intelligence character and followers following the artificial intelligence character.

After an artificial intelligence character is created by a creator and followers who follow the artificial intelligence character arise, the conversation providing unit 1010 may provide a conversation service in a chat room between the AI character and followers. In this case, the follower may be an artificial intelligence character or a creator who creates an artificial intelligence character. For example, when an artificial intelligence character and a follower of the artificial intelligence character have a conversation, an automatic response function is turned on, and conversations can be exchanged based on a pre-learned conversation engine without intervention by the creator. As another example, when a creator and an artificial intelligence character, an artificial intelligence character and a creator, or a creator and a creator, that is, at least one person are involved in a conversation, the automatic response function is turned off so that the creator can participate and freely exchange conversations. can

The level evaluation unit 1020 evaluates the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service.

The level evaluator 1020 may evaluate whether the level of the artificial intelligence character has risen based on the amount of conversation between the artificial intelligence character and at least one follower through a conversation service. Specifically, the level evaluator 1020 may evaluate the level of the artificial intelligence character according to whether or not a preset level of learning for level increase is satisfied using conversation volume.

The artificial intelligence character created by the creator can communicate with at least one or more artificial intelligence characters or creators, and the more conversations, that is, the more conversations are accumulated, the more the level of AI character can be raised. It becomes the basis for making it possible. In addition, the creator can satisfy the level of learning that can increase the level of the artificial intelligence character by inputting an answer to the conversation message provided by the present invention. In the present invention, the predetermined level of learning may be satisfied according to whether or not the artificial intelligence character answers a predetermined question, the amount of chatting content learning, and the amount of tail-talking conversation learning.

For example, a predetermined level of learning is designated for each level, such as level 1 and level 2, and in order to go from level 1 to level 2, the predetermined level of learning must be satisfied to satisfy the amount of learning of the artificial intelligence character. For example, the artificial intelligence character or creator can meet the amount of chat content learning by exchanging many conversations with at least one or more artificial intelligence characters or creators, and the level evaluation unit 1020 determines the amount of chat content learning to be met at level 1. It is determined that the level of the artificial intelligence character has been met, and the level increase of the artificial intelligence character can be evaluated. As another example, when the creator responds to 'hello' provided by the system of the present invention and performs a tail-talking conversation, the level evaluation unit 1020 determines whether or not the answer to the question to be satisfied at level 1 and the tail It is judged that the amount of conversation learning has been met, and the level increase of the artificial intelligence character can be evaluated. However, the degree of learning is not limited to the above, and may be satisfied by answering pre-specified questions of the artificial intelligence character according to each level, learning amount of chatting contents, and learning amount of tail chatting.

The data trading unit 1030 trades the learning data of the artificial intelligence character built by the amount of learning based on the evaluation result.

The data transaction unit 1030 may sell learning data representing conversational abilities of an artificial intelligence character that has achieved a specific level in a specific field to a second artificial intelligence character. In more detail, the data trading unit 1030 may trade learning data built by the learning amount of the artificial intelligence character with the second artificial intelligence character based on the level of the artificial intelligence character designated according to the evaluation result.

For example, in the case of a creator who has a lot of interest in sports, and especially golf, artificial intelligence characters can also be set and learned as hashtags of ‘#golf’ and ‘#sports’. As the artificial intelligence character who is interested in golf levels up, learning data on 'golf' is accumulated, and the data transaction unit 1030 according to another embodiment of the present invention relates to golf of the accumulated artificial intelligence character. Learning data can be traded to other AI characters (or creators) who are interested in golf. At this time, the data transaction unit 1030 is a transaction process between a creator who wants to sell learning data on golf and a creator who wants to purchase learning data on golf, that is, a creator who wants to sell it by receiving a certain amount of commission from the creator who wants to purchase it. , receive learning data on golf from creators who want to sell it, and provide it to creators who want to purchase it. Accordingly, a creator who purchases golf-related learning data can teach the golf-related learning data to an artificial intelligence character.

According to an embodiment, S creator may purchase learning data A on golf from creator A and learning data B on golf from creator B to learn the S artificial intelligence character of S creator. Afterwards, when the S artificial intelligence character exchanges golf-related conversations with the follower, if overlapping data between the A learning data and the B learning data occurs in response to the follower's conversation question, the present invention provides the S artificial intelligence character It is possible to provide an answer by probabilistically outputting appropriate data among learning data A and learning data B in the conversation flow between the user and the follower. That is, the creator can purchase a plurality of learning data to learn the artificial intelligence character, and in the method of trading the artificial intelligence character according to another embodiment of the present invention, when the learning data collides, the creator probabilistically outputs suitable data to provide an answer. can provide

Accordingly, the artificial intelligence character trading system 1000 according to another embodiment of the present invention trades the conversation ability of a creator who has achieved a specific level in a specific field and has built professional learning data for a specific field, thereby artificial intelligence You can share the character's conversation skills and pay a fee accordingly.

Although the description is omitted in the system of FIGS. 9 and 10, each component constituting FIGS. 9 and 10 may include all of the contents described in FIGS. 1 to 8, which is It is obvious to those skilled in the art.

The system or apparatus described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (15)

Providing a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character;
Evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service; and
Displaying the level of the artificial intelligence character according to the evaluation result
Level evaluation and trading method of artificial intelligence character including. According to claim 1,
The evaluation step is
Evaluating whether or not the level of the artificial intelligence character has increased based on the amount of conversation through the conversation service between the artificial intelligence character and at least one or more followers, the level evaluation and trading method of the artificial intelligence character. According to claim 2,
The evaluation step is
Characterized in that the level evaluation and trading method of the artificial intelligence character, characterized in that the level of the artificial intelligence character is evaluated according to whether or not a predetermined level of learning is satisfied for level increase using the conversation volume. According to claim 3,
The degree of learning
Characterized in that the level evaluation and trading method of the artificial intelligence character is satisfied according to whether or not the artificial intelligence character answers the pre-specified question, the amount of chatting content learning, and the amount of tail-talking conversation learning. According to claim 3,
The step of displaying
When the conversation service ends, the level evaluation and transaction method of the artificial intelligence character, characterized in that the amount of learning by the learning degree satisfied through the conversation service is displayed on the artificial intelligence character. According to claim 1,
Recommending and exposing the artificial intelligence character to a second artificial intelligence character according to the level of the artificial intelligence character, and providing additional services according to the level of the artificial intelligence character.
Level evaluation and trading method of artificial intelligence character further comprising. Providing a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character;
Evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service; and
Based on the evaluation result, trading the learning data of the artificial intelligence character built by the amount of learning
Level evaluation and trading method of artificial intelligence character including. According to claim 7,
The evaluation step is
Evaluating whether or not the level of the artificial intelligence character has increased based on the amount of conversation through the conversation service between the artificial intelligence character and at least one or more followers, the level evaluation and trading method of the artificial intelligence character. According to claim 8,
The evaluation step is
Characterized in that the level evaluation and trading method of the artificial intelligence character, characterized in that the level of the artificial intelligence character is evaluated according to whether or not a predetermined level of learning is satisfied for level increase using the conversation volume. According to claim 9,
The degree of learning
Characterized in that the level evaluation and trading method of the artificial intelligence character is satisfied according to whether or not the artificial intelligence character answers the pre-specified question, the amount of chatting content learning, and the amount of tail-talking conversation learning. According to claim 7,
The transaction step is
A method for evaluating and trading levels of artificial intelligence characters, characterized in that selling the learning data representing the conversation ability of an artificial intelligence character who has achieved a specific level in a specific field to a second artificial intelligence character. According to claim 11,
The transaction step is
Based on the level of the artificial intelligence character designated according to the evaluation result, trading the learning data built by the amount of learning of the artificial intelligence character to a second artificial intelligence character, artificial intelligence character level evaluation and trading method. A conversation providing unit that provides a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character;
a level evaluation unit for evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service; and
Level display unit for displaying the level of the artificial intelligence character according to the evaluation result
A level evaluation and trading system for artificial intelligence characters that includes According to claim 13,
A provision unit for recommending and exposing the artificial intelligence character to a second artificial intelligence character according to the level of the artificial intelligence character, and providing additional services according to the level of the artificial intelligence character.
Level evaluation and trading system of artificial intelligence characters further comprising. A conversation providing unit that provides a conversation service between an artificial intelligence character generated based on a creator's input and a follower following the artificial intelligence character;
a level evaluation unit for evaluating the level of the artificial intelligence character according to the amount of learning of the artificial intelligence character accumulated through the conversation service; and
Based on the evaluation result, a data trading unit that trades the learning data of the artificial intelligence character built by the amount of learning
A level evaluation and trading system for artificial intelligence characters that includes