WO2020153525A1

WO2020153525A1 - Method for managing information about artificial intelligence entity by means of blockchain, and platform therefor

Info

Publication number: WO2020153525A1
Application number: PCT/KR2019/002006
Authority: WO
Inventors: 강훈석; 김다일
Original assignee: ㈜티비스톰
Priority date: 2019-01-23
Filing date: 2019-02-20
Publication date: 2020-07-30
Also published as: KR20200091556A; KR102243182B1

Abstract

The present invention relates to a method for managing information about an artificial intelligence entity by means of a blockchain, and a platform therefor, and to a method for managing digital information and a platform therefor, the method comprising: storing, in a database, various pieces of digital information of an artificial intelligence entity generated in a process in which a user creates, nurtures, and utilizes the artificial intelligence entity; storing, in a chain, block data including a hash value for each piece of digital information; and thereby allowing integrity and legitimacy of the stored digital information to be automatically secured and the digital information to be rapidly retrieved.

Description

Method and platform for managing information on AI objects with blockchain

The present invention relates to a method and a platform for managing information on an AI object with a blockchain, and more specifically, various digital of the AI object generated in the process of a user creating, nurturing and utilizing the AI object. By storing information in a database and storing block data including a hash value for each digital information in a chain, the integrity and legitimacy of the stored digital information is automatically secured, and the digital information can be searched at high speed. It relates to a method and platform for managing digital information.

Big data technology that collects information of specific users and utilizes it for marketing, advertising, and demand forecasting is becoming common. However, unauthorized collection or use of user information is prohibited or subject to a number of restrictions.

In collecting, storing, and managing user information, it is very important to ensure the integrity and legitimacy of the information. This can be a very important and efficient means if the integrity and legitimacy of the user information can be secured as a structural feature of a collection, storage and management system or platform for information.

Recently, as the concept of blockchain-based transactions is spreading and the number of actual applications is increasing, various services using blockchain are being developed. In the case of cryptocurrency, it is electronic information that can be encrypted and issued through blockchain technology (e.g., hash) and used as currency on the network. It is managed and functions as a distributed ledger.

In other words, blockchain is a digitalized, decentralized public ledger used in cryptocurrency transactions. Each block contains a confirmed transaction history for a period of time, and the block is sent to all participants in the network, allowing participants to track digital currency transactions without a central ledger. If you look at the data stored in the blockchain, you can check the start address, target address, sending number and date information of the transaction.

On the other hand, artificial intelligence technology including machine learning by deep learning is rapidly developing, and by using the artificial intelligence technology and simultaneously embedding multiple sensors and communication functions, various information is provided to the user. Smart IoT devices for providing convenience and convenience have been spreading.

These artificial intelligence technologies are becoming more advanced and support the ability to remotely control the smart IoT devices that the user wants, while developing various information such as news and weather on the web to provide them to the user. .

Accordingly, public interest in an artificial intelligence system that allows a user to search and provide information desired on the web or to remotely control the plurality of smart IoT devices is increasing.

Such an artificial intelligence system continuously evolves into an independent entity by continuously learning the characteristics of a user, thereby automatically controlling a plurality of smart IoT devices according to a user's preference or preference, or providing information that the user actually needs. If it is possible to provide a suitable service according to the characteristics of the user as described above, it will be able to provide a high satisfaction and convenience to the user.

However, the conventional artificial intelligence system is implemented not to provide a suitable service to the user according to the characteristics of the user, but simply to control the retrieved information or device according to predefined logic. That is, it is not learned to provide a specific service according to the characteristics of the user, but provides a service desired by the user according to a preset logic through artificial intelligence technology.

That is, the conventional AI system is no longer evolved according to the user's tendency or characteristics in the initial state when it is provided in the home, and only provides a function for providing a service to the user using only simple logic or statistical values set in advance. I just apply. This does not provide a service optimized for the needs of the user according to the individual tendencies or characteristics of the user, and also implies the problem of providing unnecessary services to the user.

In order to cope with such a problem, a structure of win-win structure is provided in which each AI object provides its information to the platform in the process of creation, development, and utilization, and the platform provides information required for the AI object. In other words, each AI object needs its environment to provide its own information to the platform, and as a result, receive beneficial information and autonomously reinforce learning and evolve.

In addition, the platform can be used for marketing, advertising, demand forecasting, etc. by collecting information from numerous AI objects and processing big data. However, unauthorized collection or use of artificial intelligence information is prohibited or subject to a number of restrictions.

Accordingly, the present invention stores various digital information of the AI object generated in the process of creating, nurturing, and utilizing the AI object in a database, and storing a plurality of block data including a hash value for each digital information in a chain. It is intended to provide a method and a platform for managing the digital information so that the integrity and legitimacy of the stored digital information are automatically secured by storing in a node of.

Next, the prior art existing in the technical field of the present invention will be briefly described, and then the technical matters to be achieved differently from the prior art will be described.

First, Korean Registered Patent No.1781583 (2017.09.19.) relates to a file management and search system based on a blockchain capable of verifying data names and owners.It stores the generated data and stores the data names as the nodes where the data is stored. If you pass it to another node in the form of a transaction with the address information of, the nodes that receive it create a block based on the transaction and connect it to the blockchain, so that everyone can share the data name and the owner information that created the data. Will be. Since this information is recorded in the blockchain, since all nodes share the same information, in order for the malicious node to arbitrarily modify the contents, the contents of the blockchain possessed by all nodes must be modified. The security itself is excellent.

In the prior art, when data is stored at a specific node, and the data name is transferred to another node in the form of a transaction along with the information of the node where the data is stored, the nodes that receive it create a block based on the corresponding transaction to the blockchain By connecting, it does not store digital information about an AI object as in the present invention, and does not generate a hash value for the digital information, and compares the hash value of the stored digital information with the hash value stored in the blockchain. Since there is no process of authenticating the integrity and legitimacy of the digital information, it is clear that the prior art and the present invention have different technical features.

Also, Korean Registered Patent No. 1868029 (2018.06.08.) is a method for sharing a file based on a blockchain, and when a file is uploaded from any one of a plurality of nodes on the blockchain, the hash value of the file Shared on the blockchain, the hash value is stored in each of the plurality of nodes, a plurality of sub-files in which the files are divided are distributedly stored in each of the plurality of nodes, and a current file is present in at least one of the plurality of nodes. Extracts the hash value of, compares the extracted hash value with the hash value shared on the blockchain, checks the authenticity of the current file, and when the verification result confirms that the current file is authenticated, the Provided is a blockchain-based file sharing method comprising downloading the plurality of distributedly stored sub-files from at least one of a plurality of nodes, and generating the files using a combination of the plurality of downloaded sub-files.

The prior art is to check the authenticity of the file by comparing the hash value of the file with the hash value shared by the blockchain, and does not store digital information about the AI object as in the present invention, but hash value and digital information. There is no process of authenticating the integrity and legitimacy of the digital information through retrieval of the metadata, hash value, and metadata for the metadata, and it is clear that the prior art and the present invention have different technical characteristics.

The present invention was created to solve the above problems, and stores various digital information of the AI object generated in the process of the user creating, nurturing and utilizing the AI object in a database, for each digital information It is an object of the present invention to provide a method and a platform for managing the digital information so that the integrity and legitimacy of the stored digital information are automatically secured by storing block data including a hash value in a chain.

In addition, the present invention provides a high-speed search function based on the hash value for the digital information of the AI object, the hash value recorded and stored in the blockchain, the metadata that is the summary information for the digital information, and the location information in which the digital information is stored. Another object is to provide a method and platform for automatically verifying the integrity and legitimacy of the stored digital information based on the search function.

In addition, if the AI object according to the present invention encrypts the digital information with a public key previously distributed by a specific node, and the specific node stores the encrypted digital information in a database, and decryption of the encrypted digital information is necessary, the present invention Another object of the present invention is to provide a method and a platform for enhancing the security of the digital information by allowing a specific node of the platform to decrypt the content with the private key to check the contents of the digital information.

In addition, the digital information of the AI object according to the present invention is added or updated according to the process of creating, nurturing and utilizing the AI object, and explicitly expressing the AI object including explicit information, behavior information, option information, and processing information. Includes personalized information, including anthropomorphic faces, voices, keys or body weights that define, anthropomorphic names, ages, addresses, phone numbers or IDs of the AI objects, and authentication information and It is provided as personal information, and is issued by recommendation of the platform, is issued to be changeable, or is issued as fixed information, and includes explicit information including information access authority and device access authority, and the AI entity. At least one of consumption information including purchase information and purchase pattern through, usage information indicating usage time of a specific device or facility through the AI object, and access information including access or viewing of specific information through the AI object. Behavioral information including one or more, optional information indicating status including health level, social status, internal form or education level for the AI object, and location and gender including the country or region for the AI object, Another object is to provide processing information including personal information including age or personality, consumption behavior, usage behavior, or access behavior of the AI entity, and including the state of the AI entity. .

A method and platform for managing information about an AI object according to an embodiment of the present invention as a blockchain, requesting to upload digital information generated in the process of creating, nurturing and utilizing an AI object to a specific node And an upload request step, a storage step of storing the digital information in a designated database in response to the upload request, and a block chain forming step of forming a blockchain for the digital information in response to the upload request.

In addition, the block chain forming step includes: extracting a hash value generated as a result of hashing the digital information, generating block data to generate block data including the hash value, and sharing the block data to each node for storage It characterized in that it comprises a step.

In addition, the method further includes a reliability verification step of verifying reliability including integrity, legitimacy, or a combination of specific digital information stored in the database, and an information provision step of providing the reliability-verified digital information. It is characterized by providing digital information whose reliability has been verified for an AI object.

In addition, the integrity is that no distortion, alteration, forgery, modulation, manipulation, or a combination of the digital information has been applied, and the legitimacy is that the digital information has been consented to provide information by the AI entity. Reliability is provided when the integrity and the legitimacy are provided, and the reliability is verified through the blockchain.

In addition, the storage step includes storing and classifying the information that is added or updated according to the process of creating, nurturing, and utilizing the artificial intelligence object, and the information includes a classification step of classifying according to the order of creation and causal relationship, and the artificial The intelligent entity, in the storage step, encrypts the digital information with a public key previously distributed by a specific node, the specific node stores the encrypted digital information in the database, and the node stores the encrypted digital information. When decryption is required, it is characterized in that the contents of the digital information can be confirmed by decrypting with a private key.

In addition, the digital information is added or updated for each process of creating, nurturing and utilizing the AI object, and includes explicit information, behavior information, option information, and processing information, and the explicit information includes the AI object. Includes personal information, including anonymized faces, voices, keys or weights, which are explicitly defined, anthropomorphic names, ages, addresses, phone numbers or IDs of the AI objects, and upon request from the user, It is given as authentication information and personal information, and is issued by recommendation of the platform, is issued to be changeable, or is issued as fixed information, includes information access authority and device access authority, and the behavior information is It includes purchase information through the AI object and consumption information including the purchase pattern, usage information indicating the usage time of a specific device or facility through the AI object, and access or viewing of specific information through the AI object. It includes at least one of the access information, the option information is information indicating the state including the health level, social status, internal style or education level of the AI object, the processing information, the AI Includes personal information, including location and gender, age group or personality, including country or region of the individual, including the consumption behavior, usage behavior, or access behavior of the AI entity, including the state of the AI entity It is characterized by.

In addition, the platform for managing information about the AI object according to an embodiment of the present invention as a blockchain is a process in which a user creates, nurtures and utilizes the AI object, and creates, nurtures and utilizes the AI object. An artificial intelligence entity unit that requests to upload the generated digital information to a specific node, an information storage unit that stores the digital information in a designated database in response to the upload request, and a blockchain for the digital information in response to the upload request. Characterized in that it comprises a block portion to form.

In addition, the blockchain unit includes extracting a hash value generated as a result of hashing the digital information, generating block data including the hash value, and sharing and storing the block data to each node. do.

In addition, the platform further includes a reliability verification unit verifying reliability including integrity, legitimacy, or a combination of specific digital information stored in the database, and an information providing unit providing the reliability verified digital information, the artificial Provides digital information whose reliability has been verified for an intelligent entity, and the integrity is that no distortion, alteration, falsification, manipulation, or combination of the digital information is applied, and the legitimacy is that the digital information is It is said that the information provision consent of the AI object has been obtained, and the reliability is granted when the integrity and the legitimacy are satisfied, and the reliability is verified through the blockchain.

In addition, the information storage unit further includes storing information separately or updated according to the creation, nurturing, and utilization processes of the AI object, and the information is further classified according to a generated order and a causal relationship, and the AI In the storage step, the digital information is encrypted with a public key previously distributed by a specific node, the specific node stores the encrypted digital information in the database, and the node decrypts the encrypted digital information. When is necessary, it is characterized in that the contents of the digital information can be confirmed by decrypting with a private key.

As described above, a method and platform for managing digital information on an AI object of the present invention with a blockchain, by managing information collected, stored, and providing the information on the AI object with a blockchain, the AI object While automatically securing the integrity and legality, the hash value of the digital information is compared with the hash value recorded on the blockchain, and the metadata of the digital information corresponding to the hash value is referenced to the artificial intelligence object at high speed. It has the effect of providing a search for digital information.

1 is a conceptual diagram for schematically explaining a method and a platform for managing information on an AI object in a blockchain according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating a process of managing AI entity information in a blockchain using a plurality of nodes according to an embodiment of the present invention.

3 is a diagram showing block data for artificial intelligence object information that is shared and stored in a specific node according to an embodiment of the present invention.

4 is a view showing to explain a method for performing reinforcement learning on an AI object according to an embodiment of the present invention.

5 is a block diagram showing the configuration of an artificial intelligence object information management platform according to an embodiment of the present invention.

6 is a flowchart illustrating a procedure for managing information on an AI object according to an embodiment of the present invention as a blockchain.

Hereinafter, a preferred embodiment of a method and a platform for managing digital information on an AI object of the present invention with a blockchain will be described in detail with reference to the accompanying drawings. The same reference numerals in each drawing denote the same members. Also, specific structural or functional descriptions of the embodiments of the present invention are exemplified for the purpose of describing the embodiments according to the present invention, and unless defined otherwise, all terms used herein, including technical or scientific terms. These have the same meaning as those generally understood by those of ordinary skill in the art. Terms such as those defined in a commonly used dictionary should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined herein. It is desirable not to. In the present invention, an AI object is created by a user in a cyber space such as the Internet or a device in a real space, such as a character or avatar (divided), as if creating an SNS account (connection window), and the corresponding character or It means that the avatar (the alter ego) is gradually advanced and evolved by users or activities on SNS by fostering and utilizing it through reinforcement learning according to artificial intelligence algorithms.

As shown in FIG. 1, a platform for managing information on an AI object according to an embodiment of the present invention as a blockchain (hereinafter, AI object information management platform) 100 is a character for a plurality of users Alternatively, the artificial intelligence object 200 included as an avatar is generated, and a plurality of digital information about the artificial intelligence object 200 that is changed, added, or generated in the course of fostering and utilizing the created artificial intelligence object 200 is plural. It supports the function to be managed by the blockchain through the node of.

Meanwhile, digital information on the AI object 200 is directly or indirectly given by a user in the process of generating, nurturing, and utilizing the AI object 200 to personify the AI object 200 Includes explicit information, option information indicating the state of the AI object 200, action information and processing information for a series of actions of the AI object 200 to provide a specific service to the user.

At this time, the plurality of nodes is formed to manage digital information about the AI object 200 by a blockchain, or is implemented as a separate physical server from the AI object information management platform 100, It may be implemented as a virtual server included in the artificial intelligence object information management platform 100.

That is, the artificial intelligence object information management platform 100, if there is a request to upload digital information for the corresponding AI object 200 to a specific node set in advance from the AI object 200, the AI information 200 Efficiently manage digital information for the AI object 200 by storing it in a predefined database, generating block data for the digital information, and storing the generated block data as a blockchain through a plurality of nodes. Make it possible.

Meanwhile, a process of managing digital information on the AI object 200 with a blockchain will be described in detail with reference to FIG. 2.

In addition, the created AI object 200 is continuously reinforced learning according to a user's desired direction or inclination by a user, and nurtured to evolve into an independent object, so that the user wants or is inclined to the user's inclination. Accordingly, various information (e.g., weather, etc.) is searched on the web, a specific IoT device 400 is automatically controlled, and various services including reporting on user schedules and recommended services such as music, news, and videos are provided. It performs a function that enables it to do so.

In addition, the artificial intelligence object information management platform 100, when the artificial intelligence object 200 is generated by the user, receives the user's characteristic information from the user, and uses the entered characteristic information to the user To create at least one learning model for each field to provide a specific service to a user. That is, the user characteristic information becomes learning data for generating the learning model for each field.

At this time, the user, by installing the artificial intelligence application (application) provided from the artificial intelligence object information management platform 100 to the user terminal 300 of the user, and running the installed artificial intelligence application, the artificial intelligence After accessing the object information management platform 100, the artificial intelligence object 200 may be generated.

Meanwhile, the generated AI object 200 and the learning model for each field of the AI object 200 are not only the AI object information management platform 100, but also the user terminal 300 of the corresponding user, or the corresponding AI model. It may be applied to the artificial intelligence object information management platform 100, and may be applied to a set-top box or physical hardware or server-type artificial intelligence device 500 provided in a user's home, such as a home, office, or school. That is, the AI object information management platform 100, the user model 200 or the user of the learning model for each service field for the created AI object 200 and the generated AI object 200. Applied to the artificial intelligence device 500 provided in the home of the user to provide various services through the artificial intelligence object 200.

In addition, the artificial intelligence object information management platform 100, when the user performs the interaction between the generated artificial intelligence object 200, by performing reinforcement learning for the learning model for each service field based on the result of the interaction performed , To continuously evolve the created artificial intelligence object 200.

At this time, the artificial intelligence object information management platform 100 provides learning parameters that are the result of performing the reinforcement learning to the user terminal 300 or the artificial intelligence device 500, so that the user terminal 300 or artificial By allowing it to be applied to the learning model for each field applied to the intelligent device 500, the AI object for the user applied to the AI object information management platform 100 and the user terminal 300 or the AI device 500 ), so that AI objects applied to each other can be synchronized with each other.

The created AI object 200 is applied to an SNS server (not shown) that provides an SNS service, and can be implemented to perform independent SNS activities according to the reinforcement learning results, and the SNS service is provided. By creating an account for the AI object 200 in the provided SNS server, the AI object 200 can perform the SNS activity as an independent object according to a user's desired direction or propensity. To make.

In addition, the learning model for each service field includes a TV channel recommendation learning model, a music recommendation learning model, an IoT device 400 control learning model, a news recommendation learning model, a schedule reporting learning model, and a product recommendation learning model. The AI object 200 may provide at least one service to a user using the learning model for each field. However, the types of learning models listed above are not limited thereto, and may be subdivided into a plurality of learning models by the designer of the artificial intelligence entity information management platform 100.

In addition, when the user creates the AI object 200, according to the AI object creation procedure by the AI object information management platform 100, the authentication information of the corresponding user, including fingerprint, voice, gesture, user ID , By providing the user's personal information including the name, account information, wallet, etc. to the AI object information management platform 100, requesting the creation of the AI object 200, and the AI The object information management platform 100 creates an AI object 200 for the user by creating an account for the user when the application is made.

At this time, the artificial intelligence object information management platform 100 may receive the authentication information and personal information of a corresponding user from a plurality of users and generate the artificial intelligence object 200 for each user.

The user authentication information is for using the AI object 200 by activating the AI object 200, a fingerprint recognition means provided in the user terminal 300 or the AI device 500, It may be input through a microphone or a camera, and the personal information of the user may be input through an input means such as a keypad or a touch fan provided in the user terminal 400 or the artificial intelligence device 500.

In addition, when the user creates the AI object 200, the AI object 200 can be evolved into an independent object with information distinguished from other AI objects 200 so that the AI object 200 can be evolved into an independent object. 200) by setting explicit information, and at the same time, option information indicating the state of the AI object 200 may be provided.

The explicit information and option information are for explicitly defining the AI object 200 and for defining a state for the AI object 200, wherein the explicit information is the AI object 200 Body information of the AI object 200 including face, voice, height, or body weight for anthropomorphizing) and nationality, name (ie, title), age, address, and phone number for anthropomorphizing the AI object 200 Contains personal information of the AI object 200 including a number or ID, and the body information and personal information of the AI object 200 are authenticated information of the AI object 200 at the request of the user. And by being created with personal information.

In addition, the option information may include a degree of health for the AI object 200, a social status including a work or work experience, or an education degree including education and qualifications.

On the other hand, the explicit information and optional information on the AI object 200 is granted based on the personal information of the user, physical information, health information, social status, education and qualifications, or by the user's discretion, Can be generated.

In addition, the body information of the AI object 200 may be given based on predefined customizing information for visually modeling the AI object 200, and the user may be provided with the AI object information The artificial intelligence object 200 may be generated by modeling body information on the artificial intelligence object 200 according to a user's preference using the customization information provided by the management platform 100.

In other words, the user may artificially obtain explicit information and option information about the AI object 200 through the process of generating the AI object 200, including the process of modeling the AI object 200. By giving to the object 200, it is to be distinguished from other AI objects 200 or other users so that it can evolve as an independent object.

Meanwhile, the explicit information on the AI object 200 includes personal information or authentication information for another user (for example, a member of the user's home or office), information on at least one IoT device 400, and The IoT device 400 may further include an access right.

That is, the generated artificial intelligence object 200 may be linked to a plurality of IoT devices 400 provided in the home, such as a user's home, office, or school, according to the user's settings, and the user may be connected to the corresponding IoT device Access permission of the AI object 200 to the 400 may be set.

Meanwhile, the explicit information may be recommended by the artificial intelligence object information management platform 100, changeable, or may be issued as fixed information.

In addition, the AI object 200 provides the explicit information and option information generated in the process of generating the AI object to the AI object information management platform 100, thereby providing the explicit information and option information to a specific node. Request to upload, and the AI object information management platform 100 forms and manages explicit information and option information for the AI object 200 in a blockchain through a plurality of nodes.

In addition, the plurality of IoT devices 400 refer to various devices including lighting, TVs, and air conditioning units located in the home, such as the user's home, office, or school. The plurality of IoT device 400 devices may be configured as a home network system.

In addition, when creating the AI object 200, the AI object information management platform 100 learns user characteristic information (that is, learning data) provided from a user and provides a learning model for each field for providing the service. To create.

At this time, the AI entity information management platform 100 allows the user characteristic information to be input in a predetermined format, so that a user can present a learning method for the learning model for each field in a desired direction, and the input The learning model for each field is generated based on the obtained user characteristic information.

On the other hand, the user characteristic information is the TV channel (eg, sports, culture, entertainment, drama, documentary, etc.) preferred by the user for each time zone, time, place (eg, living room, master room, calligraphy, kitchen, bathroom, etc.) and weather Lighting information including user's preferred lighting brightness, lighting color, lighting on/off time, user's preferred cooling/heating temperature by time, place and weather, and news areas preferred by the user (eg economy, sports, entertainment, etc.) ) And the music genre (e.g. popular music, classical music, etc.) and artists preferred by the user depending on the person, time, weather, or mood. ), schedule information including weather, bedtime, planned work (e.g. exercise, rest, study, etc.), anniversary (e.g. wedding anniversary, ritual, birthday, etc.), user's preferred product, and personality characteristics do.

In addition, the user may periodically input the user characteristic information to reflect the dynamic characteristics of the user in the learning model for each field, thereby enabling reinforcement learning on the AI object 200. .

In addition, the artificial intelligence object information management platform 100, when the user characteristic information is input based on the user characteristic information input data format, the user by service area to apply the user characteristic information to the learning model for each service area Classify characteristic information.

Thereafter, the AI entity information management platform 100 generates the learning model for each field by learning the classified user characteristic information for each field through the reinforcement learning network for each field.

That is, the user characteristic information is used as learning data of a field-specific learning model for the artificial intelligence object 200 in order to provide various services that are actually desired by the user.

Through this, the artificial intelligence object 200 automatically searches for and provides specific information (for example, news, people, weather) according to a preset time and a user's tendency using the learning model for each field, or A specific IoT device 400 may be automatically controlled, a specific schedule or report on expenditures may be performed, music, a product, a specific person (ie, a friend recommendation) may be recommended.

The artificial intelligence object 200 is developed through continuous reinforcement learning on the generated learning model, and evolves into an independent entity, wherein the reinforcement learning is performed through interaction with a user.

That is, when the user interacts with the AI object 200 through voice or text and inputs a request command (for example, a drama channel request) for receiving a specific service, the AI object 200 requests When an instruction is recognized, a specific service is provided according to the recognized request command (eg, at least one drama channel is recommended), and the user selects a corresponding service (eg, selects a specific drama channel), the AI object 200 ) Performs a specific action (for example, a specific drama channel selected to turn on and watch the corresponding channel), and the artificial intelligence object 200 performs action information (ie, viewing information for a TV channel) for the specific action performed. , Viewing period and viewing time), and providing it to the AI entity information management platform 100 to request to upload the behavior information to a specific node, and the AI entity information management platform 100 includes a plurality of nodes Through this, it is possible to form and manage behavior information for the AI object 200 as a blockchain.

In other words, the AI object information management platform 100 stores the AI object 200 in a preset database according to an upload request for digital information, and blocks the digital information requested through the plurality of nodes. By creating, and forming the generated block into a blockchain, it is possible to manage the digital information through the blockchain.

At this time, if the result of providing the specific service is greater than or equal to a preset frequency, the provided result is applied to the learning model in the field to adjust the weight of the learning model to perform reinforcement learning for the learning model.

That is, when the AI entity information management platform 100 performs an interaction between the user and the AI entity 200, the corresponding learning is adjusted by adjusting the weight of the learning model for each field based on the result of the interaction. By continuously performing reinforcement learning on the model, the artificial intelligence object 200 can be gradually evolved.

For example, when the user inputs a request command of "recommending a specific product (eg, a mask for preventing fine dust)" through the interaction, the AI object 200 is sold by a company preferred by the user or At least one specific product purchased by a plurality of users or by price range can be searched and recommended on the web, and when the user wants to select and purchase any one product through the recommendation, the AI object 200 May purchase the selected product through a purchasing act. At this time, the artificial intelligence entity information management platform 100 collects behavior information for the purchasing behavior of the artificial intelligence entity 200, and the behavior information for the purchasing behavior includes purchase information for the purchased product and Contains consumption information including purchase patterns by time, date, and season.

As another example, when a user inputs a request to "keep the temperature in the room at 27 degrees" through the interaction, a specific facility (that is, a heating and cooling facility) or a specific device (that is, to maintain the temperature of the corresponding room). , Through the control act of controlling the heating and cooling IoT devices) to maintain the temperature of the room to 27 degrees, the AI object information management platform 100 is behavior information for the control action of the AI object 200 Can be collected. At this time, the action information on the control action of the AI object 200 includes usage information indicating the usage time by time, season, date, weather of the specific device or specific facility.

In addition, the artificial intelligence object information management platform 100 analyzes the temperature of a user's preferred method according to a specific time, season, and weather according to the interaction result, and reflects the analyzed temperature value in a learning model for the field. By doing so, reinforcement learning can be performed on the learning model.

Also, the behavior information includes access to or access to specific information, including information about a specific user (ie, a member in the home) (personal information, schedule information, authentication information, etc.), information of the IoT device 400, and the like. It may further include access information.

That is, when the AI object information management platform 100 performs an interaction between the user and the AI object 200, the user adjusts the weight of the learning model for each field based on the result of the interaction, and the user By continuously performing reinforcement learning on the learning model in a desired direction, the AI object 200 is fostered so that the AI object 200 can evolve into an independent object, and the AI object ( 200) will collect behavior information about the artificial intelligence object (200) generated in the course of fostering.

On the other hand, fostering the artificial intelligence object 200 through the reinforcement learning, while the reinforcement learning uses the interaction result, self learning, participatory learning, supervised learning, and autonomous learning of the artificial intelligence object 200. It may also be performed, and through this, the artificial intelligence object 200 may be fostered to evolve into a more advanced and independent entity.

In addition, the self-learning is automatically performed based on the interaction with the user, where the user's location and the frequency of selection of the provided service (for example, when at least one music is recommended, select and use specific music) Frequency of use), keywords frequently used by users (e.g. keywords for specific music genres (e.g. popular music), etc.) to provide users with services that users prefer to taste, music, etc. for their current location. It means learning to help.

In addition, the self-learning automatically collects other information related to the user's characteristic information and the user's characteristic information from the web, and applies the collected other information to the user's characteristic information to provide various information for the user. It can also be performed to provide services.

For example, when the AI object 200 controls a specific IoT device 400 based on the user's preferred air-conditioning temperature or lighting information, and music information for each weather, or when recommending music. , The AI object 200 collects weather information (ie, temperature, humidity, etc.) at the current time from the Meteorological Agency or the web, and matches the collected weather information with the user's characteristic information to the learning model. By applying, it is to control a plurality of IoT devices 400 according to the characteristics of the user or to recommend a specific music.

In addition, the participatory learning means that the artificial intelligence entity 200 analyzes and learns by analyzing the user's dietary preferences, music, and preferences of the user, such as a predefined psychological test or taste game, and the The artificial intelligence object 200 may be evolved to recommend food, products, music, friends, etc. suitable for the user through the participatory learning.

In addition, the supervised learning is performed to learn user characteristic information received from the user and provide the service to the corresponding user according to the learned result.

For example, the AI object 200 that learns user characteristic information for a TV channel (eg, sports, culture, entertainment, drama, documentary, etc.) preferred by the user for each time zone is at least preferred by the user at the current time. One or more TV channels may be recommended.

In addition, the self-learning is performed by the artificial intelligence object 200 to autonomously learn and provide information to the user, based on the social networking information about the friend on the SNS provided by the user. When updating a new article or anniversary, it may be evolved to provide information to the user or to recommend news information that is a recent issue.

In addition, the artificial intelligence object 200 may be implemented to learn the social information on the user's SNS, analyze the family, work, school, location, and tastes of the social network that has a high frequency of interaction with the user and provide it to the user. It may be implemented to be provided to the user by analyzing the competency, including intimacy and expertise for the corresponding network.

In addition, the AI object 200 may act as an independent entity on the SNS based on the characteristics of the user according to the result of the reinforcement learning, perform a recommendation activity for the SNS activity of another user, or another AI entity Through the interaction with the (200) it can evolve into an entity independent of the user.

That is, the AI object 200 forms a network of only the AI object 200 through interaction with another user or another AI object 200 according to the user's preference or characteristics based on the user's connection information, or It can be evolved to form a community.

In addition, the artificial intelligence object 200 automatically provides the service according to a preset time through the reinforcement learning, or when the user inputs a request command through interaction with a user, recognizes the request command and recognizes the It is implemented to provide private service according to the recognized request command.

That is, the artificial intelligence object 200, using the learning model for each field according to a preset time, inputs preset conditions (eg, current time information) into the learning model for each field, and learns for each field The service may be automatically provided based on output data output from the model.

For example, when it is set to recommend the news at the wake-up time (eg, 6 am), the artificial intelligence object 200 inputs current time information into the learning model for recommending news. At this time, the learning model for recommending news outputs at least one news field and person preferred by the user according to the result of the reinforcement learning. Thereafter, the artificial intelligence object 200 searches for news on the news field and person on the web and provides the search result to the user, thereby providing a recommendation service for the news to the user.

In addition, when the artificial intelligence entity 200 wants to provide a recommendation service through the interaction, the keyword is extracted from the user request command, and compared with the extracted keyword and at least one representative keyword for each preset recommended field Based on one result, it recognizes which recommendation service the user request command wants to receive.

For example, if a representative keyword for recommending music is set to "music", "song", and "sound source", and the user inputs a request command "recommended music", "music" from the request command When the keyword "is extracted", the comparison process recognizes that the user's request command is to receive a music recommendation.

At this time, the learning model for music recommendation outputs at least one music genre and artist preferred by the user according to the result of the reinforcement learning. Thereafter, the artificial intelligence object 200 searches for a music source for the music genre and an artist for the music genre on the web and recommends it or recommends an existing stored sound source to provide a recommendation service for the music to the user. Will be.

At this time, the user request command may be input by voice or text, and the artificial intelligence object 200 recognizes the input voice and text to extract the keyword.

Meanwhile, extracting a keyword by recognizing the voice or text may be performed through a pre-built language model and a morpheme analysis, such as a hidden markov model (HMM) model. However, in the present invention, the method for extracting keywords by recognizing the voice or text is not limited.

In addition, when the service is provided through the interaction, a predetermined gesture is performed through the camera, fingerprint sensor, microphone or keypad, fingerprint authentication is performed, or the name of the set AI object 200 is called. Thus, after activating the AI object 200, the service may be provided by inputting the voice or text.

In addition, when the artificial intelligence object 200 is to automatically control a plurality of IoT devices 400 provided in a user's home, office, or school based on the result of performing the reinforcement learning, current time information or weather information By inputting the learning model for controlling the IoT device to control information for controlling the IoT device 400 to be selected by recommending to the user, the IoT device 400 is controlled or the IoT device according to the control information It is possible to automatically control the 400.

At this time, the AI object 200 accesses a home network gateway and transmits control information for controlling a specific IoT device 400 to the corresponding IoT device 400 according to the user's selection, so that the IoT is remotely performed. It is possible to automatically control the device 400.

On the other hand, when the request command recognized through the interaction designates a target for a specific service or includes direct control information for the IoT device 400, the specified target is automatically searched for and provided, or the control information is provided. Based on this, it may be implemented to automatically control the IoT device 400.

For example, when the user inputs a request command such as "Set the temperature of the living room to 27 degrees" by voice or text, or when requesting music by specifying a specific music title, the AI object 200 , Extract the keywords "living room", "temperature", "27 degrees" from the request command, generate control information for the heating device to maintain the temperature of the living room at 27 degrees, and generate the control information with the corresponding heating device By transmitting, it is possible to maintain the temperature of the living room at 27 degrees, or to search for a sound source for the specific music title to provide the searched sound source to the user.

Through this, the AI object 200 recommends music desired by the user, or operates at least one or more IoT devices 400 on behalf of the user in the user's home, office, or school at a time and method desired by the user. Or to set an operation for at least one IoT device 400 so that the user can maintain a desired home, office, or school environment.

In addition, if the user's schedule is set to recommend a task to be performed by checking the user's schedule according to a preset time (for example, 6 am), the AI object 200 is preset in the learning model for schedule recommendation. Enter one condition information (eg current time information). At this time, the schedule recommendation learning model outputs schedule information of the corresponding user according to the time and date according to the result of the reinforcement learning. Thereafter, the artificial intelligence object 200 selects at least one of the output schedule information according to a preset period (for example, one day, one week, one month) and provides it to the user, so that the user can schedule the schedule information You will be recommended to do something according to.

In addition, when the user performs a request command for schedule information through the interaction, the AI entity 200 extracts a keyword from the request command, and the extracted keyword (eg, "schedule", "schedule") and the By comparing a plurality of representative keywords and recognizing that the corresponding request command is a request for a schedule recommendation, and inputting time information into the learning model for recommending the schedule, the schedule information for the request command can be extracted and provided to the user. have.

For example, when the representative keyword for schedule recommendation is set to "schedule", "schedule", and "anniversary", and the user inputs a request command such as "check schedule today" by text or voice, the artificial intelligence The object 200 extracts keywords “today” and “schedule” from the request command, and compares the representative keyword with the extracted keyword to recognize that the request command is for schedule recommendation.

Thereafter, the artificial intelligence object 200 extracts schedule information for today by inputting current time information in a learning model for schedule recommendation, and provides schedule information for the extracted today to a user to perform tasks to be performed today. It is recommended.

Meanwhile, the learning model is generated through a machine learning algorithm including an artificial neural network (ANN), a convolutional neural network (CNN), or a recurrent neural network (RNN), and as described above, at least one or more specialized for a specific service Includes sectoral learning models.

That is, the artificial intelligence object information management platform 100 of the present invention is created, added or updated in the process of generating the artificial intelligence object 200 and fostering and utilizing the created artificial intelligence object 200 By managing various digital information on the intelligent entity 200 in blocks, various consumers using digital information on the artificial intelligence entity 200 can be utilized according to their purpose.

On the other hand, when the AI object information collection platform 100 manages digital information about the AI object 200 as a blockchain, it integrates the explicit information, behavior information, and option information explicitly of the digital information. After processing it into one piece of processing information, it may be stored together with the digital information.

At this time, the processing information, the explicit information, behavior information and optional information is simplified to integrate, the country or region for the AI object 200 or the AI object 200 is the user terminal 300 Applied to the location where the AI object 200 frequently moves, personal information including the gender, age, or personality of the AI object 200 and the consumption behavior, use behavior, or access of the AI object 200 Behavior and state information of the AI object 200 may be included.

Meanwhile, the process of creating and nurturing the AI object 200 is performed through the AI device 500 provided as a physical device in the home, such as a user's home, office, or school, and the corresponding AI Applicable to the device 500 and the user terminal 300, the AI entity information management platform 100 blocks digital information about the AI entity 200 requested to be uploaded from the AI entity 200. It can be implemented to perform only the functions managed by the chain.

As illustrated in FIG. 2, managing AI entity information according to an embodiment of the present invention as a blockchain using a plurality of nodes may be performed through at least one client and a plurality of nodes.

The plurality of nodes distributes and stores digital information (ie, AI object information) for a plurality of AI objects 200, respectively, and blocks blocks including block data generated for the stored digital information. Formed into a chain, it is possible to manage digital information of the AI object 200 through the formed blockchain. At this time, the plurality of nodes is implemented as a virtual server, preferably included in the AI object information management platform 100, but to be implemented as a separate physical server from the AI object information management platform 100 Can.

On the other hand, when the plurality of nodes are implemented as a separate physical server from the AI object information management platform 100, the AI object information management platform 100 may block data about the AI object information. It is implemented as a block generation node that generates a block that includes, and another node performs a function of storing a block generated by the block generation node.

That is, the AI object information management platform 100 performs a function of collectively managing digital information on a plurality of AI objects through the plurality of nodes.

Also, when the specific client (C1 or C2 shown in FIG. 2) wants to upload digital information about the AI object 200 generated in the process of creating, nurturing, and utilizing the AI object 200 to a specific node. , Generate upload request information for the digital information (①), and transmit the digital information together with the generated upload request information (②). At this time, the digital information can be encrypted for security, and the client signs and encrypts the digital information with the public key of the client, and then the digital information to a specific node of the artificial intelligence object information management platform 100 Can transmit.

At this time, the public key is issued in advance by a specific node connected to the corresponding client.

The client means a device to which the created AI object 200 is applied, and may be a user terminal 300 or an AI device 500 provided in a user's home, office, or school. Meanwhile, as described above, the artificial intelligence entity 200 may be applied to the artificial intelligence entity information management platform 100 itself.

That is, the AI object information management platform 100 collects digital information about the plurality of AI objects 200 generated by the plurality of users, stores them in a specific database, and stores the stored AI objects By generating a block including block data for digital information about, it is to perform the function of managing the digital information with a blockchain.

In addition, the AI object information management platform 100 allows the upload request of each client to be shared (③) with a plurality of nodes, and the digital information of the AI object 200 received from each client is communicated with the client. Store in the database of a specific node that is connected. At this time, the AI object information management platform 100 generates a block for the digital information upload request using the AI object information received from each client (④).

At this time, the generated block includes block data for the AI object information, and the block data is a hash value extracted by hashing the AI object information using a hash function, corresponding It consists of the hash value of the block, the hash value of the previous block, metadata about the AI object information, and location information in which the AI object information is stored.

Meanwhile, the hash value of the corresponding block means a hash value representing the corresponding block, and may be used as a hash value extracted by hashing the artificial intelligence object information.

That is, the block includes a hash value of the previous block that was created immediately before, and the block created for the digital information, which is the AI object information, is chained to block the digital information of the AI object 200 It will form.

When the blockchain for digital information of the AI object 200 is formed in this way, security of the AI object information can be maximized. In other words, in order for any user (for example, a hacker, etc.) to falsify specific AI object information, the hash values for all blocks formed by the blockchain must be falsified to completely falsify the AI object information. Since it is almost impossible to forge artificial intelligence object information, it is possible to maximize security of the artificial intelligence object information.

In addition, metadata about the digital information of the AI object 200 is generated by summarizing or simplifying the AI object information. For example, the AI object information may be generated by a specific IoT device 400 for a certain time. In the case of the behavior information controlled during the time, the name of the IoT device 400 is generated as metadata and included in the block data.

Next, the artificial intelligence object information management platform 100 applies the upload of the generated block and applies the newly generated block to the processing result book, thereby updating (■) the processing result book, and The generated block is propagated (⑥) to the plurality of nodes so that the generated block can be shared (⑦).

Through this, digital information of the plurality of AI objects 200 is not centrally stored, but can be distributed and stored in a database provided in a plurality of nodes.

Meanwhile, the processing result book means the generated block, and is updated by applying a digital information upload request to the generated block. In addition, the processing result book may include usage information (that is, the number of downloads by the consumer and audience information using the digital information) using digital information of the AI object 200 for the corresponding block.

The plurality of nodes includes a first database for storing a block chain upload request for the newly created block, a second database for receiving and storing the digital information that is the AI object 200 information from the client, and the AI object And a third database storing related applications for managing digital information of 200.

In addition, the AI entity information management platform 100 verifies reliability including integrity, composition, or a combination of the digital information of the stored AI entity 200, and reliability is verified to the consumer To provide digital information of the artificial intelligence object 200.

The integrity means that the stored digital information is not distorted, altered, falsified, tampered with, manipulated, or a combination thereof, periodically hashing the digital information about the AI object 200, and the hash It can be performed by checking whether a hash value exists for the blockchain.

That is, the hash value extracted by hashing the digital information and the hash value for each block formed by the block chain are matched, and as a result, when the hash value extracted by hashing the digital information exists in the blockchain, the corresponding digital By determining that the information is not distorted, altered, forged, tampered with, manipulated, or a combination of them, the integrity of the digital information is verified.

In addition, the legitimacy means that the digital information has been consented to provide information from the AI object 200, which is set by the user using the AI object 200 or the AI object ( 200) can be automatically consented to the provision of information as it is fostered.

In addition, the integrity verification may be performed when the AI object information is provided to a specific consumer or user, and the AI object information management platform 100 may include a specific AI object based on keywords of the consumer. When searching for information, metadata is searched based on the keyword and a hash value of a block containing the metadata is extracted, and the extracted hash value is compared with the hash value for the digital information of the AI object 200 , If a matching hash value exists, it may be determined that the artificial intelligence entity information has been verified as integrity.

As shown in FIG. 3, block data for AI object information according to an embodiment of the present invention is generated by generating blocks for specific AI object information generated by the AI object information management platform 100. Is created.

At this time, the artificial intelligence object information management platform 100 hashes digital information about the artificial intelligence object 200 provided from a specific client, extracts a hash value generated as the result of the hashing, and extracts the hash value. Block data including hash value is generated.

In addition, the artificial intelligence object information management platform 100 allows the generated block data to be shared with each node and stored in the database of each node.

That is, the AI object information management platform 100 generates blocks for digital information of the AI object 200, propagates the generated blocks to each node, and stores the generated block data. do.

The block data includes a hash value for the AI object information, a hash value of the corresponding block, a hash value of the previous block, metadata about the digital information, and location information in which the digital information of the AI object 200 is stored. Includes.

Meanwhile, the hash value of the previous block means a hash value of a block generated immediately before the block, and when the block is first generated, the hash value of the previous block is not given.

In addition, each block data includes the hash value of the previous block, so that the digital information about the artificial intelligence entity 200 is formed as a block chain to maximize security for each digital information.

4 is a view illustrating a process of evolving an AI object through an AI object information management platform according to an embodiment of the present invention.

As illustrated in FIG. 4, the process of evolving the created AI object 200 through the AI object information management platform 100 according to an embodiment of the present invention is first, a user may use the AI object ( In order to use 200), the artificial intelligence object 200 is first activated.

The activation is performed by performing a preset gesture, or by recognizing fingerprints or calling the name of the AI object 200 set in the AI object.

Next, when the artificial intelligence object 200 is activated, the corresponding user inputs a recommendation command for a service field that he or she wants to receive service.

The recommendation command may be input by voice or text, and may be input by voice.

Meanwhile, the user may input the recommendation command as text through a chat function of the SNS account or a chat function provided by the AI object 200 automatically through a chat with the AI object 200. At this time, the AI object 200 is an independent object and participates in the chat.

Next, the artificial intelligence object 200 recognizes a voice or text for the input recommendation command, extracts a keyword from the recognized recommendation command, and recognizes a service field required by the user based on the extracted keyword. .

That is, the artificial intelligence object 200 compares at least one keyword extracted from the recommendation command with a plurality of representative keywords for each predetermined field, and recognizes the recommended field according to the comparison result.

For example, when the representative keywords for music recommendation are set to "song" and "music", and the keyword extracted from the recommendation command is "music", the AI object 200 recommends that the recommendation command is music. Recognize as a service.

As another example, if the representative keyword for schedule recommendation is set to "schedule", "schedule", "anniversary", etc., and the keyword extracted from the recommendation command is "schedule" or "schedule", the AI object ( 200) means that the recommendation command is recognized as a schedule recommendation service.

As another example, when the representative keyword for TV channel recommendation is set to "channel", "TV", "drama", "documentary", "entertainment", etc., and the keyword extracted from the recommendation command is "drama", The AI object 200 recognizes the recommendation command as a TV channel recommendation service.

Next, the AI object 200 provides a service for the recognized service field to the user.

For example, when the user inputs a request command "Play sports channel" in voice or text, the artificial intelligence object 200 automatically plays a specific sports channel or recommends at least one sports channel to the user. It allows you to watch specific sports channels according to your choice.

Thereafter, the artificial intelligence object information management platform 100 performs reinforcement learning on the learning model by applying it to a learning model in a corresponding field when the provided service is equal to or greater than a preset frequency. Let the object 200 evolve.

That is, the artificial intelligence object information management platform 100 allows the interaction result to be applied to the corresponding learning model, thereby performing reinforcement learning on the learning model. Through this, the AI object information management platform 100 is to enable the AI object 200 to evolve through the reinforcement learning.

In this case, the artificial intelligence object information management platform 100 may collect digital information about each artificial intelligence object 200 in the process of creating, nurturing, and utilizing each of the artificial intelligence objects 200. The collected digital information may be stored in a database preset for the intelligent entity 200.

In addition, the AI object information management platform 100 manages the digital information by generating a blockchain for the digital information of the collected AI object 200, as described in FIGS. 2 and 3.

On the other hand, the creation, training and utilization of each AI object 200 is provided in the user's office, home, or school, and may be performed through the AI device 500 implemented with physical hardware. 300) However, as described above, it is possible to receive and receive digital information about the artificial intelligence object 200 by the creation, training, and utilization from the artificial intelligence device 500, and manage it in the blockchain format.

As shown in FIG. 5, the AI object information management platform 100 according to an embodiment of the present invention generates and nurtures the AI object 200 through interaction with the user interface unit 110 and a user. And the artificial intelligence object unit 120 to be utilized, and information storing digital information about the artificial intelligence object 200 that is added, updated, or generated in the process of creating, nurturing, and utilizing the artificial intelligence object 200. The unit 130, a blockchain unit 140 that forms a blockchain for digital information of the stored AI object 200, and verifies the reliability of each digital information of the stored AI object 200. It includes a reliability verification unit 150 and an information providing unit 160 that provides the digital information whose reliability has been verified to a user or a consumer.

The user interface unit 110, through the communication between the artificial intelligence object information management platform 100 and the user terminal 300, generates the artificial intelligence object 200 of the type desired by the user, and the generated A user interface is provided to transmit and receive related data for generating a learning model for each service field for the AI object 200, respectively.

In addition, the AI object unit 120 is an AI object that generates an AI object 200 that is implemented as an avatar or character for providing at least one specific service to the user automatically or through interaction with the user. The generation unit 121, the artificial intelligence object training unit 122 and the fostering of the artificial intelligence entity 200 to evolve the artificial intelligence entity 200 into an independent entity by performing reinforcement learning on the created artificial intelligence entity 200 It comprises an artificial intelligence object utilizing unit 123 to utilize the artificial intelligence object 200.

In addition, the artificial intelligence object generating unit 121, by modeling the artificial intelligence object 200 for providing at least one specific service to a user automatically or through interaction with the user according to the user's selection, generates Perform a function.

At this time, the AI object utilization unit 123 provides the user with predefined and stored customizing information through the user interface 110, and the user through a creation process for generating the AI object 200. To enable the user to provide explicit information and option information for the AI object 200, and to generate explicit information and option information for the AI object 200 given according to a user's selection. do.

In addition, the artificial intelligence object training unit 122 receives the corresponding user characteristic information from a user, generates a learning model for each service field for the AI object 200 generated by learning the received user characteristic information, respectively, and By performing reinforcement learning on the generated learning model for each service field, it performs the function of fostering the created AI entity 200 to evolve into an independent entity through the reinforcement learning.

That is, the AI object training unit 122 is for fostering the AI object 200 generated through the AI object generation unit 121 as an independent entity, based on user characteristic information input from the user. The generated artificial intelligence by generating a learning model for each service field for the AI object 200 and performing reinforcement learning on the generated learning model for each service field according to the result of the interaction through interaction with the user. Cultivate individuals to evolve into independent entities.

On the other hand, the artificial intelligence object training unit 122, the user can input learning data (that is, user characteristic information) as a basis for generating a learning model for each service field for the created artificial intelligence object 200. In order to provide the user with the user characteristic information input data format defined in advance through the user interface 110.

Thereafter, when the user inputs his own characteristic information using the characteristic information input data format, the artificial intelligence object training unit 122 classifies the entered user characteristic information for each service field and stores a memory (not shown). ).

In addition, the artificial intelligence object training unit 122 performs a function of learning user characteristic information classified for each service field for each service field and generating a learning model for each service field.

That is, the learning model for each service field is generated by learning user characteristic information classified for each service field, a TV channel recommendation learning model, a music recommendation learning model, an IoT device 400 control learning model, and a news recommendation. And a learning model for recommending schedules. However, the learning model for each field may be extended to various fields by the designer of the AI entity information collection platform 100.

Thereafter, the artificial intelligence object 200 provides at least one service to a user using the generated learning model for each service field.

In addition, the artificial intelligence object training unit 122, through the interaction with the user through the artificial intelligence object 200, performs the reinforcement learning on the learning model for each service field generated according to the result of the interaction, the generated The artificial intelligence object 200 is fostered so that it can evolve into an independent object.

In addition, the artificial intelligence object training unit 122 may further include a function of mutually combining the at least one learning model to enable the artificial intelligence object 200 to evolve.

That is, the artificial intelligence object training unit 122 combines at least one learning model specialized for a specific service according to the related degree of learning data for reinforcement learning so that the artificial intelligence object 200 can evolve. .

For example, when recommending music for each time zone by weather, or when controlling a plurality of IoT devices 400 for adjusting the temperature or humidity in the house for each time zone by weather, a service and IoT recommending music by time zone for each weather It can be seen that the relevance of the service controlling the device 400 is high. That is, the learning data used for the learning model for recommending music or the learning model for controlling the IoT device includes weather and time, and it can be seen that the related degree of the learning data is high.

Thus, the artificial intelligence object training unit 122, by combining the learning model for music recommendation and the learning model for controlling the IoT device, by providing a service for music and IoT device control by weather time zone at the same time , The artificial intelligence object 200 can be evolved. In this case, the combining is performed by quantifying the learning data into a characteristic value according to the degree of relevance for the related field and scaling it to have a value between 0 and 1.

In addition, the AI object training unit 122 continuously performs reinforcement learning for the learning model for each service field through self-learning, participatory learning, supervised learning, and self-learning in addition to the interaction, so that the AI object 200 is independent. You can make it possible to evolve into phosphorus.

On the other hand, since the self-learning, participatory learning, supervised learning, and autonomous learning were described with reference to FIG. 1, further detailed description will be omitted.

In addition, the AI object training unit 122 is not the first input of the user characteristic information, but is input after the AI object 200 and the learning model for each service field for the AI object 200 are generated. In this case, it may further include performing reinforcement learning on the learning model for each service field using the corresponding user characteristic information.

In addition, the AI object utilization unit 123 supports a function for allowing the user to utilize the generated AI object 200, and the AI object 200 is the AI object utilization unit 123 ) To perform interaction with the user, and provide at least one or more services to the user by using the generated learning model for each service field according to the performed interaction.

That is, the artificial intelligence object utilization unit 123 allows the user to utilize the created and nurtured artificial intelligence object 200 through interaction, thereby controlling a specific IoT device 400 or scheduling the corresponding user. Or report music, videos, news, products, and more.

At this time, the AI object utilization unit 123 performs a function of generating action information for a series of actions for the AI object 200 to provide the service.

In addition, the AI object unit 120 allows the user to create the AI object 200 in a direction desired by the user, and to foster and utilize the created AI object 200.

In addition, the AI object unit 120, for the upload to the digital information about the AI object 200 generated in the process of creating, nurturing and utilizing the AI object 200 to a specific node The request will be fulfilled. Meanwhile, the request for the upload may be performed through the user terminal 300 or the AI device 500 to which the AI object 200 is applied, as described above.

In addition, the information storage unit 130 performs a function of storing digital information about the AI object 200 in a specific database (ie, a database of the specific node) in response to the request for the upload.

At this time, the digital information, encrypt the digital information with a public key distributed in advance in the specific node, and the information storage unit 130 stores the encrypted digital information in the database of the specific node in the specific node Make it possible.

That is, the digital information encrypts digital information of the AI object 200 using a public key issued by a specific node connected to the AI object 200, and the specific node encrypts the encrypted digital information. Information is stored in the database of the node.

The information storage unit 130 stores digital information on the AI object 200 according to the process of creation, training and utilization of the AI object 200, wherein the AI object 200 The information of the generated order and the temporal relationship between the digital information of the AI object 200 that is currently added, updated, or created and the digital information of the AI object 200 previously stored for each service field (eg, account, etc.) ).

The cause relationship means that the preference varies according to the service field of the AI object 200 due to temporal relevance such as season. For example, the artificial intelligence object 200 will prefer to maintain the user's home or office below a certain temperature by controlling the IoT device 400 in the summer, and in the winter, the user's home or office It may be preferred to keep the temperature above a certain temperature. Accordingly, the information storage unit 130 may classify and store digital information of the AI object 200 according to temporal relevance such as seasons.

The digital information of the artificial intelligence object 200 that is classified and stored in this way is determined according to the purpose of the corresponding consumer through a search using temporal order or causal relationship from the viewpoint of the consumer who uses the digital information of the artificial intelligence object 200. The digital information of the AI object 200 may be conveniently used.

In addition, the blockchain unit 140 performs a function of forming a blockchain for digital information of the AI object 200 in response to the upload request.

The formation is performed by generating a block for digital information of the AI object 200, and the block data is a hash value generated as a result of hashing the digital information, a hash value for the corresponding block, and a previous block Contains the hash value for, metadata for the digital information, and location information in which the digital information is stored.

In addition, the blockchain unit 140 propagates and shares the generated block data to each node, so that the block data can be stored in each node.

In addition, the reliability verification unit 150 performs a function of verifying reliability including integrity, legitimacy, or a combination of specific digital information stored in the database. Meanwhile, since the method for verifying the reliability has been described with reference to FIG. 2, further detailed description will be omitted.

In addition, the information providing unit 160 performs a function of providing digital information on the AI object 200 for which reliability has been verified to the user or the consumer, and the user or the consumer has a specific AI object 200 Provides a search function for searching digital information for, searches for metadata of a specific block using keywords entered by the user or consumer, and retrieves location information of block data included in the searched metadata block Based on this, artificial intelligence object information stored in a specific database can be quickly searched and provided to the user or the consumer.

At this time, the information providing unit 16 performs decryption on the encrypted and stored digital information through the node and provides it to the user or the consumer, so that the contents of the digital information can be checked.

At this time, the decryption is performed using a private key corresponding to the public key issued by the node.

That is, when decryption of the encrypted digital information is necessary, the decryption is performed to check the content of the digital information.

As illustrated in FIG. 6, a procedure for managing information about an AI object through a blockchain through the AI object information management platform 100 according to an embodiment of the present invention is first, in a specific client, the AI The upload request information for the digital information on the object 200 is generated, and the generated request information is transmitted to a specific node connected to the corresponding client (S110).

At this time, the request information includes digital information about the AI object 200 that is added, changed, and generated in the process of creating, nurturing, and utilizing the AI object 200.

Next, the artificial intelligence object information management platform 100 allows the specific client and the connected specific node to share digital information upload request information of the entire node and the corresponding client (S120), and the specific node At, the digital information upload request is collected, and a block for digital information of the artificial intelligence object 200 is generated (S130).

The block includes a hash value for the corresponding digital information, a hash value for the corresponding block, a hash value for the previous block created immediately before the corresponding block, metadata about the digital information, and location information in which the digital information is stored. The block data is generated as described above.

At this time, each of the blocks includes a hash value of the previous block, thereby forming a block chain.

Next, the artificial intelligence object information management platform 100 updates the processing result book by applying the digital information upload request to the generated block, and propagates the generated block to each node (S140).

Thereafter, each node shares the block, and stores a request for uploading the digital information of the blockchain of the specific node that generated the block, so that the request for uploading the digital information can be stored at each node (S150). ).

Next, each client that has performed the upload request can confirm the processing result for the upload request by checking the processing result book (S160).

In the above, the preferred embodiment according to the present invention has been mainly described, but the technical spirit of the present invention is not limited thereto, and each component of the present invention is changed or modified within the technical scope of the present invention in order to achieve the same purpose and effect. It could be.

In addition, although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention pertains without departing from the gist of the present invention claimed in the claims. In addition, various modifications may be implemented by a person having ordinary knowledge in the art, and these modifications should not be individually understood from the technical idea or prospect of the present invention.

According to the present invention, a user creates an AI object and continuously learns it as he/she wants, and through reinforcement learning, evolves into one independent object that the user himself or herself desires, thereby searching for specific information according to the user's preferences, You can control a specific IoT device, report the schedule of the user, or recommend music, products, news, etc.

In addition, the present invention, by allowing the user to manage the digital information on the artificial intelligence object generated in the process of creating, nurturing and utilizing the artificial intelligence by the blockchain, the integrity and legitimacy of the digital information automatically While being secured, specific digital information can be searched and provided at high speed according to a request of a consumer who uses the digital information.

Claims

An upload request step of requesting to upload the digital information generated in the process of creating, nurturing and utilizing the AI object to a specific node;

A storage step of storing the digital information in a designated database in response to the upload request; And

And a block chain forming step of forming a block chain for the digital information in response to the upload request.
The method according to claim 1,

The block chain forming step,

Extracting a hash value generated as a result of hashing the digital information;

A block data generation step of generating block data including the hash value; And

Sharing and storing the block data to each node; Method for managing information about the artificial intelligence object comprising a block chain.
The method according to claim 1,

The above method,

A reliability verification step of verifying reliability including integrity, legitimacy, or a combination of specific digital information stored in the database; And

Further comprising; an information providing step of providing the reliability verified digital information;

A method of managing information on an AI object with a blockchain, characterized by providing digital information whose reliability has been verified for the AI object.
The method according to claim 3,

The integrity is that no distortion, alteration, falsification, tampering, manipulation, or a combination thereof has been applied to the digital information,

The legitimacy is that the digital information has been consented to provide information of the AI entity,

The reliability is given when the integrity and the legitimacy are met,

The reliability is a method for managing information on an AI object, which is verified through the blockchain.
The method according to claim 1,

The storage step includes a classification step of classifying and storing information added or updated according to the process of creating, nurturing, and utilizing the artificial intelligence object, and classifying the information according to a generated order and a causal relationship.

The artificial intelligence entity, in the storage step, encrypts the digital information with a public key previously distributed by a specific node, and the specific node stores the encrypted digital information in the database,

The node, when the decryption of the encrypted digital information is required, the method of managing information on the AI object, characterized in that the content of the digital information can be confirmed by decrypting with a private key.
The method according to claim 1,

The digital information is added or updated according to the process of creating, nurturing, and utilizing the artificial intelligence object, and includes explicit information, behavior information, option information, and processing information,

The explicit information includes personal information including an anthropomorphic face, voice, height, or weight that explicitly defines the AI object, and an anthropomorphic name, age, address, telephone number, or ID of the AI object. Includes matters, and is granted as authentication information and personal information by the user's application, and is issued by recommendation of the platform, is issued to be changeable, or is issued as fixed information, information access authority and device Includes access rights,

The behavior information includes consumption information including purchase information and a purchase pattern through the AI object, usage information indicating usage time of a specific device or facility through the AI object, and specific information through the AI object It includes at least one or more of access information including access or viewing,

The option information is information indicating a state including a health degree, a social position, an internal style, or an education degree for the AI object,

The processing information includes personal information including the location and gender, age, or personality, including the country or region, of the AI entity, and includes consumption behavior, use behavior, or access behavior of the AI entity, A method of managing information on an AI object with a blockchain, comprising the state of the AI object.
An artificial intelligence entity unit for requesting a user to upload digital information generated in the process of creating, nurturing and utilizing the artificial intelligence object to a specific node; And

An information storage unit that stores the digital information in a designated database in response to the upload request; And

A platform for managing information about an AI object in a blockchain, including; a blockchain unit that forms a blockchain for the digital information in response to the upload request.
The method according to claim 7,

The block chain portion,

And extracting a hash value generated as a result of hashing the digital information, generating block data including the hash value, and sharing the block data to each node for storage. A platform that manages information in a blockchain.
The method according to claim 7,

The platform,

A reliability verification unit that verifies reliability including integrity, legitimacy, or a combination of specific digital information stored in the database; And

Further comprising; an information providing unit for providing the reliability verified digital information,

Provides digital information verified for reliability of the AI object,

The integrity is that no distortion, alteration, falsification, tampering, manipulation, or a combination thereof has been applied to the digital information,

The legitimacy is that the digital information has been consented to provide information of the AI entity,

The reliability is given when the integrity and the legitimacy are met,

The credibility is a platform for managing information about an AI object, which is verified through the blockchain, with a blockchain.
The method according to claim 7,

The information storage unit further comprises separately storing information added or updated according to the process of creating, nurturing, and utilizing the artificial intelligence object, and further classifying the information according to the order of creation and causal relationship,

The artificial intelligence entity, in the storage step, encrypts the digital information with a public key previously distributed by a specific node, and the specific node stores the encrypted digital information in the database,

The node, when the decryption of the encrypted digital information is required, the platform for managing the information on the artificial intelligence object, characterized in that by decrypting with a private key to check the contents of the digital information.
The method according to claim 7,

The digital information is added or updated according to the process of creating, nurturing, and utilizing the artificial intelligence object, and includes explicit information, behavior information, option information, and processing information,

The explicit information includes personal information including an anthropomorphic face, voice, height, or weight that explicitly defines the AI object, and an anthropomorphic name, age, address, telephone number, or ID of the AI object. Includes matters, and is granted as authentication information and personal information by the user's application, and is issued by recommendation of the platform, is issued to be changeable, or is issued as fixed information, information access authority and device Includes access rights,

The behavior information includes consumption information including purchase information and a purchase pattern through the AI object, usage information indicating usage time of a specific device or facility through the AI object, and specific information through the AI object It includes at least one or more of access information including access or viewing,

The option information is information indicating a state including a health degree, a social position, an internal style, or an education degree for the AI object,

The processing information includes personal information including the location and gender, age, or personality, including the country or region, of the AI entity, and includes consumption behavior, use behavior, or access behavior of the AI entity, A platform for managing information about an AI object with a blockchain, comprising the state of the AI object.