KR20200093766A - Platform of smart contracts for providing digital information transaction - Google Patents

Abstract

The present invention relates to a digital information transaction platform through a smart contract for dividing digital information into a plurality of depths according to importance, usability, volume of data, and processing degree to trade digital information through a smart contract, and providing a reward for a transaction result according to the depths of digital information, and a transaction method thereof. The digital information transaction platform comprises: a transaction construction unit; and a smart contract unit.

Description

Digital information trading platform through smart contracts{PLATFORM OF SMART CONTRACTS FOR PROVIDING DIGITAL INFORMATION TRANSACTION}

The present invention relates to a digital information transaction platform through a smart contract, and more specifically, the digital information is divided into a plurality of depths according to importance, usability, data scale, and processing degree to trade through a smart contract, and It relates to a platform for providing a reward for the transaction result according to the depth and the transaction method.

2. Description of the Related Art With the rapid development of industrial technology and information and communication technology, big data technology that collects data for a plurality of users and utilizes it for marketing, advertising, and demand forecasting based on the collected data is becoming common.

Therefore, a user in various fields who wants to utilize the data intends to achieve his or her desired purpose by purchasing or selling the desired data according to his or her purpose and, if necessary, transferring the data through exchange or the like.

However, the conventional method of trading data was performed through a relay server that provides a transaction service for data and proves the transaction history for the transaction. That is, the conventional method of trading data was performed through a relay server, which is a centralized system, which has a problem in that a separate fee must be provided to a relay server that provides a corresponding transaction service even when multiple users trade their data. .

On the other hand, since the data may include personal information, there is a problem of infringing on the privacy of a user or exploiting various crimes, and unauthorized collection of the user's data is prohibited. There are also many restrictions.

In addition, the original data of the collected data should not be changed in an inappropriate way, so that the consumer can efficiently use the user data as intended.

That is, in collecting, storing, managing, and trading user data, it is very important to ensure the integrity and legitimacy of the user data. This is a very important and efficient means if the integrity and legitimacy of the user data can be secured as a structural feature of a system or platform that supports the ability to collect, store and manage data, and enable the transaction of the user data. Will be.

In addition, recently, the concept of a blockchain-based transaction has been spreading. The blockchain stores and distributes all the collected data to a plurality of blockchain nodes (e.g., a server), creates blocks for each of the distributed and stored data, forms the generated blocks into a chain, and then the It is managed through multiple blockchain nodes. This is because a malicious user arbitrarily manipulates the data, or in order to make changes including distortion or correction, the contents of all the blocks must be changed, so virtually no arbitrary change is possible. Therefore, the data managed by the blockchain is highly reliable and has the advantage of easily securing the integrity of the data.

Leveraging the advantages of this blockchain, smart contract technology has been developed and commercialized in various fields, such as finance, insurance, and virtual currency, to exclude information from the relay server and to exchange information between contract parties.

Since the smart contract excludes the relay server, there is no separate fee, so the effect of cost reduction is very large, and multiple blockchain nodes constituting the blockchain network can check and automatically verify transactions for the data. There is an advantage that can ensure the reliability 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 that the user wants to receive according to a preset logic according to the AI 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 collects information from a number of AI objects and manages it through a plurality of blockchain nodes as a blockchain, and directly deals with transactions between contracting parties including the owner of the information and consumers who want to use the information through smart contracts. If the transaction can be performed and the transaction can be guaranteed by the plurality of blockchain nodes, the consumer can use reliable information based on his/her purpose (e.g., AI object information) without any extra effort. According to demand forecasting, marketing, or advertisement), the information of the AI object can be effectively used, and if the owner receives a specific reward (eg, money or coupon) through the transaction, the owner will also have a great advantage. .

Accordingly, in the present invention, various digital information of the AI object generated in the process of creating, nurturing and utilizing the AI object is stored in a database, and a plurality of block data including hash values for each digital information are chained. We intend to present a method to secure the integrity and legitimacy of the digital information by automatically storing and managing it in the blockchain node, so that digital information of highly reliable AI objects can be traded through a smart contract. .

In addition, in the present invention, by excluding the centralized system through the smart contract and allowing the digital information to be traded between contracting parties, and to ensure the transaction through the plurality of blockchain nodes, the plurality of By providing a reliable digital information to the consumer by ensuring the validity of the transaction through the blockchain node, and reflectively providing the reward according to the transaction of the digital information to the owner of the digital information, the owner and I would like to propose a way to ensure that all consumers have a profit.

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.

Also, Korean Registered Patent No. 1941200 (2019.01.16.) relates to a blockchain-based social network system capable of trading ideas, and registers various types of ideas for multiple users, and shares or transfers specific ideas. If present, it is related to a blockchain-based social network system capable of trading ideas that allows sharing, transfer, and transfer history of the idea based on the blockchain.

In other words, the prior art uses a blockchain technology to allow multiple users to register and authenticate their ideas, and to share, rent, and transfer the registered ideas among multiple users, thereby making reasonable compensation To provide.

On the other hand, the present invention collects, stores, and manages digital information about an AI object for automatically providing various services such as IoT device control, music, products, news, and the integrity of digital information of the AI object. And by verifying the reliability including the legality, the digital information of the artificial intelligence entity that has been verified to be able to trade between the contracting parties through a smart contract, and the result of the transaction, the digital information according to the depth set in the digital information By providing a reward to the owner, the prior art does not describe or suggest the technical features of the present invention.

First, Korean Patent Publication No. 10-2019-0000747 (2019.01.03.) relates to an e-commerce method using a blockchain technique, issues an offer to purchase a specific product on a blockchain platform system to a user, and issues the above By receiving an ordered offer, creating an order block for transaction, sending it to the blockchain node of all users connected to the network, and then validating the order block to add it to the existing blockchain if the order block is valid, It relates to an electronic commerce method using a block chain technique for performing payment according to the transaction of the specific product.

The prior art is to enable direct transactions between trading parties based on a blockchain without third-party intervention such as a relay shopping mall or a relay service company to trade products, and provides digital information about an AI entity as in the present invention. There is no process to collect and manage the blockchain according to the depth set in the corresponding digital information through a smart contract, and the transaction performed by performing a transaction guarantee through a plurality of blockchain nodes for the transaction It does not describe the technical configuration of the process to confirm the transaction in accordance with the correction, it is clear that the prior art and the present invention have different technical features.

The present invention was created to solve the above problems, and stores various digital information of AI objects that are added, changed, or generated in the process of creation, fostering and utilization of AI objects in a database, and By storing block data containing a hash value for each digital information in a chain, the reliability including the integrity and legitimacy of the digital information of the AI object is automatically secured, and the AI secured reliability through a smart contract. The object of the present invention is to provide a digital information trading platform through a smart contract that enables the digital information of objects to be traded.

That is, the present invention collects digital information, including body information of AI objects, explicit information including human information, consumption information for a specific product or service or music, and usage information of a specific IoT device, etc. Management, and through the smart contract, by allowing a specific consumer to use the digital information through direct transactions between the owner of the digital information and the consumer who wants to use the digital information, marketing, advertising, demand forecasting, statistical analysis, etc. Likewise, it is possible to efficiently utilize the digital information according to the purpose of the recipient.

In addition, the present invention allows digital information to be stored and managed by dividing the digital information into a plurality of depths, and digital information through a smart contract to provide a reward according to the depth to an owner who owns the digital information during the transaction. Another purpose is to provide a trading platform.

In addition, the present invention enables the depth set in the digital information to be traded as a contract condition for the digital information, and provides a transaction guarantee for the transaction to a plurality of blockchain nodes for managing the digital information as a blockchain. Another method is to provide a digital information trading platform through a smart contract that ensures the reliability of the transaction by requesting and verifying the transaction based on a response to a transaction guarantee request received from each blockchain node. The purpose.

In addition, according to the present invention, the transaction is determined according to the verification result, and block data for the determined transaction result is generated and managed as a blockchain through the plurality of blockchain nodes, thereby allowing the malicious user to view the transaction result. Another object is to provide a digital information transaction platform through a smart contract that prevents arbitrary manipulation and modification to secure the integrity of the transaction result.

In addition, the present invention allows the user or artificial intelligence entity to set the depth for digital information, and when the transaction for the digital information is confirmed through the smart contract, cash included in the consumer's electronic wallet as much as the amount corresponding to the depth Or a digital information transaction platform through a smart contract that allows the cryptocurrency to be extinguished, and automatically charges the cash or virtual currency in the electronic wallet of the user or the AI object of the digital information. Another object is to provide a.

In addition, the present invention, by allowing the AI object to transact the digital information of the AI object according to the pre-set sales conditions or purchase conditions, digital through a smart contract to provide convenience to users or consumers The aim is to provide an information trading platform.

In a digital information transaction platform through a smart contract according to an embodiment of the present invention, for a specific digital information, a transaction configuration unit configured by a trading party to configure a profile for trading the digital information, and the trading party trades the digital information For this, a contract is signed according to the configured profile, and a smart contract unit that stores the transaction results according to the contract as a blockchain, wherein the digital information is the importance, usability, data scale or processing degree of digital information. It is divided into a plurality of depths, and the contract is characterized in that the profile is different according to the depths.

In addition, the transaction configuration unit, the information search unit to search for the other party of the trading party, the owner of the digital information and the digital information, and the searched trading party configures the digital information according to the depth of the profile Characterized in that it comprises a profiling portion.

In addition, the smart contract unit generates a transaction according to one agreed contract condition of the contracting party for each depth, requests a transaction guarantee from a plurality of blockchain nodes, and requests for the transaction guarantee from the plurality of blockchain nodes. It characterized in that it comprises a transaction guarantee processing unit for receiving and collecting the response and the transaction assurance unit for verifying the transaction by verifying the collected transaction guarantee for each depth and according to the transaction guarantee policy.

In addition, the transaction guarantee processing unit, the transaction agreement request unit, the contract party to agree on a per-depth basis, create a transaction under the agreed contract condition, and request a transaction guarantee on a per-depth basis to a plurality of blockchain nodes. When the blockchain node simulates and executes the transaction internally for each depth for the requested transaction guarantee, and then signs the executed result and responds to the request for the transaction guarantee, the requested transaction guarantee from the plurality of blockchain nodes It characterized in that it comprises a transaction guarantee response collection unit for collecting the response for each depth.

In addition, the transaction confirmation unit, if the transaction verification unit and the transaction assurance policy is satisfied, the transaction party checks whether the collected response for each depth satisfies the transaction guarantee policy, and if the transaction guarantee policy is satisfied, the transaction guarantee information is sent to the other blockchain node. In accordance with the transaction confirmation notification unit to notify that the transaction has been confirmed, the transaction confirmation notification is to generate and distribute the transaction result according to the confirmation to the blockchain node as block data, thereby storing the blockchain in the blockchain node. It is characterized by.

In addition, the platform is characterized in that it further comprises a reward provider for trading through the smart contract and providing a reward according to the depth of the digital information.

In addition, the digital information transaction method through a smart contract according to an embodiment of the present invention, the transaction configuration step in which the trading party configures a profile for the transaction of the digital information with respect to specific digital information, and the trading party The contract includes a smart contract step of signing a contract according to the configured profile for the transaction and storing the transaction result according to the signed contract as a blockchain, wherein the digital information includes the importance, usability, and data scale of the digital information. It is divided into a plurality of depths according to the processing degree, and the contract is characterized in that the profiles are different according to the depths.

In addition, the transaction configuration step, an information search step in which one of the trading parties searches for the digital information and the counterpart of the trading party that is the owner of the digital information, and the retrieved trading party configures the digital information according to the depth. It characterized in that it comprises a profiling step.

In addition, the smart contract step, creates a transaction with the agreed contract conditions of the contracting party for each depth, requests a transaction guarantee from a plurality of blockchain nodes, and requests the transaction from the plurality of blockchain nodes. It characterized in that it comprises a transaction guarantee processing step of collecting and receiving the response to the response, and a transaction confirmation step of verifying the transaction by verifying the collected transaction guarantee according to the depth and according to the transaction guarantee policy.

In addition, the transaction guarantee processing step, the transaction guarantee request step, wherein the contracting party agrees for each depth, creates a transaction under the agreed contract condition, and requests a transaction guarantee for each depth to a plurality of blockchain nodes. When the blockchain node of the above simulates and executes the transaction internally for each depth for the requested transaction guarantee, and then signs the executed result and responds to the request for the transaction guarantee, the requested transaction from the plurality of blockchain nodes And collecting a transaction guarantee response for collecting the response to the guarantee for each depth.

In addition, the transaction confirmation step, the transaction verification step of checking whether the collected response by the trading party satisfies the transaction guarantee policy for each depth, and if the transaction guarantee policy is satisfied, the transaction is guaranteed to another blockchain node. And a transaction confirmation notification step of notifying that the transaction has been confirmed according to the transaction confirmation notification. The transaction confirmation notification is generated and distributed as block data to the blockchain node, thereby storing the blockchain in the blockchain node. It is characterized by.

In addition, the method is characterized in that it further comprises the step of providing a reward for providing a reward according to the depth of the digital information, and trading through the smart contract.

As described above, the digital information transaction platform through the smart contract of the present invention manages the collection, storage, and provision of digital information on artificial intelligence objects with a blockchain, thereby automatically securing the integrity and legitimacy of the digital information. By doing so, there is an effect of allowing digital information of a reliable AI object to be directly traded between contracting parties through a smart contract.

In addition, the present invention has the effect of ensuring the reliability of the transaction by performing a guarantee process for the transaction through a plurality of blockchain nodes forming a blockchain network.

In addition, the present invention, without having a centralized means such as a transaction relay server, it is possible to directly carry out the transaction for the digital information through the smart contract between the trading partners, and the corresponding digital information through the transaction It is possible to automatically distribute to the owner, so that the transaction can be performed without incurring additional costs such as a transaction relay fee.

1 is a conceptual diagram for schematically explaining a digital information transaction platform through a smart contract according to an embodiment of the present invention.
2 is a view illustrating a process of managing a transaction result of trading the digital information through the digital information and the smart contract of the AI object according to an embodiment of the present invention as a blockchain using a plurality of blockchain nodes. It is a drawing.
3 is a diagram illustrating block data for digital information of an AI object shared, stored, and managed by a specific blockchain node according to an embodiment of the present invention.
4 is a view illustrating a process of evolving an AI entity through a digital information transaction platform according to an embodiment of the present invention.
5 is a block diagram showing the configuration of a digital information transaction platform according to an embodiment of the present invention.
6 is a block diagram showing in detail the transaction configuration of the digital information transaction platform according to an embodiment of the present invention.
7 is a detailed block diagram of a smart contract unit of a digital information transaction platform according to an embodiment of the present invention.

Hereinafter, a preferred embodiment of a digital information transaction platform through a smart contract of the present invention 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, data can be interpreted as digital information.

1 is a conceptual diagram for schematically explaining a digital information transaction platform through a smart contract according to an embodiment of the present invention.

As shown in FIG. 1, a digital information trading platform (hereinafter referred to as a digital information trading platform) 100 through a smart contract according to an embodiment of the present invention includes a character or avatar for a plurality of users Creates an artificial intelligence object 200, collects digital information of the artificial intelligence object 200, and performs a function to enable the contracted parties to trade the collected digital information.

The digital information of the AI object 200 refers to information that is changed, added, or generated in the process of creating, nurturing, and utilizing the AI object 200 by a user, and the digital information transaction platform ( 100) collects digital information (i.e., AI object information) about the AI object 200 that is changed, added, or created in the process of the AI object 200 being created, nurtured, and utilized by the user. To save.

In addition, the digital information transaction platform 100 blocks the digital information by generating block data for the stored digital information and sharing the generated block data through a plurality of blockchain nodes composed of a blockchain network. Make it manageable with a chain.

In addition, the digital information transaction platform 100 includes a central direct system such as a transaction relay server to distribute digital information of the artificial intelligence object 200 managed by the blockchain so that contract parties can trade through smart contracts. Support the function.

In this case, the contracting party means an owner who owns the digital information, and a consumer who uses the digital information, and preferably means an actual person. That is, the owner means an actual user of the artificial intelligence object 200 for the digital information, and the consumer means an actual user who wants to use the digital information. However, the artificial intelligence entity 200 used by the owner and the consumer may participate as a trading party that trades the digital information through the smart contract according to the sales conditions and purchase conditions set in advance.

Hereinafter, it will be revealed that the contracting party includes a real owner, real consumer, or artificial intelligence entity 200 participating in the transaction for the digital information.

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 blockchain nodes, formed of a blockchain network, manages digital information about the AI entity 200 as a blockchain, performs guarantee for the transaction, and results of the transaction for the transaction It is configured to manage the blockchain, it may be implemented as a separate physical server from the digital information transaction platform 100, or may be implemented as a virtual server included in the digital information transaction platform 100.

In addition, the digital information transaction platform 100, if there is a request to upload digital information for the AI object 200 in a specific blockchain node preset from the AI object 200, digital for the upload request By storing information in a predetermined database, generating block data for the digital information, forming the generated block data as a blockchain, and sharing and storing the formed blockchain through a plurality of blockchain nodes , To effectively manage digital information about the artificial intelligence object 200.

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 generated AI object 200 is continuously learned according to a desired direction, propensity, or characteristic of the user of the AI object 200, and is nurtured to evolve into an independent object, so that the user is substantially Search for information (e.g. weather, etc.) required on the web, automatically control specific IoT devices (not shown) provided in the user's premises, or report on the user's schedule and listen to music, news, videos, products It performs a function to provide various services including recommended services.

In addition, when the artificial intelligence object 200 is generated by the user, the digital information transaction platform 100 receives user characteristic information from the user and uses the entered user characteristic information to provide a specific service to the user. Generate at least one learning model for each field to provide. 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 digital information transaction platform 100 to the user terminal 300 of the user, and running the installed artificial intelligence application, the digital information transaction platform After accessing (100), the artificial intelligence object 200 may be generated.

On the other hand, the generated AI object 200 and the learning model for each field of the AI object 200, as well as the corresponding digital information trading platform 100, the user terminal 300 of the corresponding user, or the corresponding digital information It may be applied to the artificial intelligence device 400 implemented in the form of a physical hardware or a server or a set-top box provided in the user's premises, such as a home, an office, or a school, interlocked with the transaction platform 100. That is, the digital information transaction platform 100, the learning model for each service field for the generated AI object 200 and the generated AI object 200, the user terminal 200 or the user's home It can be applied to the artificial intelligence device (400) provided in to provide various services through the artificial intelligence object (200).

In addition, the digital information transaction 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, the The created artificial intelligence object 200 is continuously nurtured so that it can evolve into an independent entity.

At this time, the digital information transaction platform 100, by providing the learning parameters that are the result of performing the reinforcement learning to the user terminal 300 or the artificial intelligence device 400, the user terminal 300 or the artificial intelligence device By applying to the learning model for each field applied to the 400, the artificial intelligence object for the user applied to the digital information transaction platform 100 and the artificial intelligence applied to the user terminal 300 or the artificial intelligence device 400 Allows intelligent entities to synchronize 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 may include a TV channel recommendation learning model, a music recommendation learning model, an IoT device control learning model, a news recommendation learning model, a schedule reporting learning model, and a product recommendation learning model. , The artificial intelligence object 200 provides at least one service to a user using the learning model for each field. However, the types of the learning models listed above are not limited thereto, and may be subdivided into a plurality of learning models by the designer of the digital information transaction platform 100.

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

In this case, the digital information transaction platform 100 may receive the authentication information and personal information of the corresponding user from a plurality of users and generate the artificial intelligence object 200 for each user.

The user authentication information is to activate the artificial intelligence object 200 and to use the artificial intelligence object 200, fingerprint recognition means provided in the user terminal 300 or the artificial intelligence device 400, 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 300 or the artificial intelligence device 400.

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 provided as a basis for predefined customizing information for visually modeling the AI object 200, and the user may use the digital information transaction platform 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 (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, and the corresponding IoT device It may further include access rights to.

That is, the generated artificial intelligence object 200 may be linked to a plurality of IoT devices provided in the home, such as a user's home, office, or school, according to the user's settings, and the user may The access authority of the AI object 200 may be set.

Meanwhile, the explicit information may be recommended by the digital information trading 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 AI object creation process to the digital information transaction platform 100, thereby providing the explicit information and option information to a specific blockchain node. Request, and the digital information transaction platform 100 forms and manages explicit information and option information for the AI object 200 through a plurality of blockchain nodes.

In addition, the plurality of IoT devices means 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 devices may be configured as a home network system.

In addition, when creating the artificial intelligence object 200, the digital information transaction platform 100 learns user characteristic information (that is, learning data) provided from a user and generates a learning model for each field for providing the service. .

At this time, the digital information transaction 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 user Based on the characteristic information, a learning model for each field is generated.

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 digital information transaction platform 100, when the user characteristic information is input based on the user characteristic information input data format, the user characteristic information for each service field so that the user characteristic information can be applied to a learning model for each service field. Classify.

Thereafter, the digital information transaction 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.

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 It can automatically control a specific IoT device, perform a report on a specific schedule or expenditure, or recommend music, products, and a specific person (ie, a friend recommendation).

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 digital information transaction platform 100, requesting that the behavior information be uploaded to a specific blockchain node, and the digital information transaction platform 100 includes a plurality of blockchain nodes Through this, it is possible to form and manage behavior information for the AI object 200 as a blockchain.

In other words, the digital information transaction platform 100 stores in a preset database according to a request for uploading digital information of the AI object 200, generates a block for the digital information requested for upload, and generates the digital information. Blocks are formed into a block chain so that the digital information can be managed through a plurality of block chain nodes.

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 digital information transaction platform 100 performs an interaction between the user and the artificial intelligence object 200, based on the result of the interaction, the weight of the learning model for each field is adjusted to the corresponding learning model. By continuously performing reinforcement learning for the Korean, it is possible to gradually evolve the artificial intelligence object 200.

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 digital information transaction platform 100, collects the behavior information for the purchase behavior of the artificial intelligence object 200, the behavior information for the purchase behavior, the purchase information for the purchased product and hourly, Contains consumption information including purchase patterns by 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 action to control the heating and cooling IoT device) to maintain the temperature of the room to 27 degrees, the digital information transaction platform 100 collects action information about the control action of the artificial intelligence object 200 can do. 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 digital information transaction platform 100 analyzes the temperature of the user's preferred method according to the specific time, season, and weather according to the interaction result, and reflects the analyzed temperature value in the learning model for the field. Reinforcement learning can be performed on the learning model.

In addition, the behavior information includes information about a specific user (that is, a member in the home) (personal information, schedule information, authentication information, etc.), access including viewing or access to specific information, including information on the IoT device. It may further include information.

That is, when the digital information transaction platform 100 performs an interaction between the user and the artificial intelligence object 200, the user desires the user 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 learning model in the direction, the AI object 200 is fostered so that the AI object 200 can evolve into an independent object, and the AI object 200 It collects 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 artificial intelligence object 200 controls a specific IoT device based on the user's preference information for heating/cooling temperature or lighting information and music preferred by the weather for each weather, or when recommending music, the artificial intelligence object 200 The intelligent entity 200 collects weather information (ie, temperature, humidity, etc.) at the current time from the Korea Meteorological Administration or the web, and matches the collected weather information with the user's characteristic information to apply to the learning model, It is to control multiple IoT devices according to the characteristics of the user or to recommend 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 AI object 200 inputs current time information to 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 wants to automatically control a plurality of IoT devices provided in a user's home, office, or school based on the result of performing the reinforcement learning, the current time information or weather information is applied to the IoT. By inputting to the learning model for device control, the control information for controlling the IoT device is recommended to the user and selected, so that the IoT device can be controlled or the IoT device can be automatically controlled according to the control information.

At this time, the artificial intelligence object 200 accesses a home network gateway and transmits control information for controlling a specific IoT device according to the user's selection, to automatically control the IoT device remotely. Make it possible.

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 an IoT device, the specified target is automatically searched and provided, or based on the control information, the IoT It can be implemented to automatically control the device.

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 causes the user's home, office, or school to operate at least one IoT device on behalf of the user at a time and method desired by the user, In addition, by setting an operation for at least one IoT device, 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 learning model for schedule recommendation 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.

In addition, the digital information transaction platform 100 performs a function of supporting transactions for digital information of the artificial intelligence object 200 managed by the blockchain without going through a separate transaction relay server through a smart contract.

The transaction is performed between contract parties who want to trade the digital information, and the digital information trading platform 100 prepares and configures the profile for the transaction according to the depth set in the digital information by the contract party By doing so, it is possible to perform the transaction.

That is, the contracting party agrees on one contract condition for the contract based on the profile for the prepared and generated transaction, and performs the transaction on the digital information according to the agreed contract condition.

On the other hand, the digital information transaction platform 100 generates a transaction programmed with a program (eg, Java, C++, etc.) set in advance based on the profile or the terms of the contract, and the generated dagger is applied to a plurality of blockchain nodes. By performing a transaction guarantee request for transaction assurance, and confirming the transaction according to a preset transaction guarantee policy based on the response to the request, the transaction between the contracting parties can be finally completed. Meanwhile, the process of performing the request for the transaction guarantee and the response thereto will be described in detail with reference to FIG. 2.

That is, the digital information transaction platform 100 is to ensure a reliable transaction through a transaction correction request for the transaction guarantee.

On the other hand, when the AI entity 200 is the contracting party and performs the contract, the profile is configured according to the sales conditions and purchase conditions for digital information set by the actual owner and the actual consumer, and based on this Contracts can be executed.

Meanwhile, the transaction includes exchange, gift, or donation, as well as a transaction performed by exchanging digital information and monetary value (reward) of the AI object 200.

Therefore, the AI object 200 sets the transaction conditions for the sale, exchange, gift, or donation of digital information of the AI object 200 according to the user's setting using the AI object 200. By setting, the digital information can be sold, exchanged, donated or donated.

The purchase condition is a keyword (eg, a specific product, music, IoT device, location information, personal information, body information, etc.) for digital information of the artificial intelligence object 200 to be used by an actual consumer, and information to be purchased. Reward information to be paid for (e.g., currency information, coupon) and purchase cycle.

In addition, the sales conditions include reward information according to depth set according to the utilization or importance of digital information of the AI object 200, data size, and processing degree (for example, sales amount to be paid in money or coupons, etc.). The above sales conditions include exchange conditions (e.g., exchange with specific digital information (digital information including a specific product)), gift conditions (e.g., a consumer who performs public service using digital information such as a government office) ), donation conditions (for example, free of charge).

In addition, when the consumer wants to purchase digital information of a specific AI object 200 according to the purchase conditions set through the search, the digital information transaction platform 100 checks the owner of the AI object information. By connecting the owner and the consumer, the transaction can be performed directly. Thereafter, the digital information transaction platform 100 generates block data according to the transaction result, so that the generated block data can be shared through a plurality of blockchain nodes. Through this, it is possible to secure the integrity of the transaction result, and to ensure the reliability of the transaction result.

Meanwhile, the process of guaranteeing the transaction and the process of generating block data for the transaction result and managing it with a blockchain will be described in detail with reference to FIG. 2.

In other words, the digital information transaction platform 100 of the present invention generates, adds, or creates in the process of generating and using the AI object 200 for each of the plurality of users, and fostering and utilizing the created AI object 200, respectively. A variety of digital information about the updated AI object 200 is managed by a blockchain, and the managed digital information can be easily traded between contracting parties through a smart contract, and the AI object ( 200) so that consumers in various fields using digital information can efficiently utilize it according to their purpose.

At the same time, the digital information transaction platform 100, by allowing the owner of the digital information through the transaction to take the money or the reward including the virtual currency through the transaction according to the depth set in the digital information, Ensure that both the consumer and the owner are win-win.

On the other hand, when the digital information transaction platform 100 manages digital information about the AI entity 200 in a blockchain, one of the explicit and explicit information of the digital information, behavior information, and option information is integrated. After processing with the 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 400 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 400 and the user terminal 300, the digital information transaction platform 100, the digital information about the AI object 200 requested to be uploaded from the AI object 200 as a blockchain It can be implemented to manage and perform only a function that allows the managed digital information to be traded through a smart contract.

2 is a view illustrating a process of managing a transaction result of trading the digital information through the digital information and the smart contract of the AI object according to an embodiment of the present invention as a blockchain using a plurality of blockchain nodes. It is a drawing.

2, the digital information transaction platform 100 according to an embodiment of the present invention, the transaction according to the transaction of the digital information and the digital information of the artificial intelligence object 200 through a plurality of blockchain nodes The result can be managed by the blockchain, and the transaction can be guaranteed for the transaction.

The plurality of blockchain nodes store and distribute digital information (that is, artificial intelligence object information) for a plurality of AI objects 200, respectively, and block data generated for the stored digital information. Is formed into a blockchain, so that digital information of the artificial intelligence object 200 can be managed through the formed blockchain. At this time, the plurality of blockchain nodes is preferably implemented as a virtual server and included in the digital information transaction platform 100, but may be implemented as a separate physical server from the digital information transaction platform 100. .

On the other hand, when the plurality of blockchain nodes are implemented as a separate physical server from the digital information transaction platform 100, the digital information transaction platform 100 includes block data for the artificial intelligence entity information. It is implemented as a block generation blockchain node that creates blocks, and other blockchain nodes perform a function of storing blocks generated by the block generation blockchain node.

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

In addition, 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 blockchain node. If it does, the upload request information for the digital information is generated (①), and the digital information is transmitted 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 corresponding client, and then the digital information to a specific blockchain node of the digital information transaction platform 100 Can transmit.

In this case, 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 400 provided in a user's home, office, or school. Meanwhile, as described above, the artificial intelligence object 200 may be applied to the digital information transaction platform 100 itself.

That is, the digital information transaction platform 100 collects digital information on a plurality of AI objects 200 generated by the plurality of users, stores them in a specific database, and stores the digital information on the stored AI objects. By creating a block including block data for digital information, the function of managing the digital information with a blockchain is performed.

In addition, the digital information transaction platform 100 allows the upload request of each client to be shared (③) with a plurality of blockchain nodes, and the digital information of the AI entity 200 received from each client is communicated with the client. Store in the database of the specific blockchain node that is connected. At this time, the digital information transaction platform 100 generates a block for the digital information upload request using artificial intelligence 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 includes the hash value of the block, the hash value of the previous block, the metadata about the AI object information and the location information where the AI object information is stored, the depth and the depth for the digital information of the AI object 200. . On the other hand, as the digital information is transacted and confirmed through a smart contract, the generated block data (that is, block data for the transaction result) further includes transaction history information.

Meanwhile, the block data for the digital information may further include the transaction history, and the transaction history may be configured to include only the owner information for the digital information, as the transaction for the digital information has not yet been performed. .

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 digital information of the AI object 200.

That is, the block includes the hash value of the previous block generated immediately before, and thus the block generated for the digital information and the block generated for the transaction result are chained to block the digital information and the transaction result. It is to be formed.

When the digital information of the AI object 200 and the transaction result are formed in a block chain, security of the digital information and the transaction result can be maximized. That is, in order for any user (for example, a hacker, etc.) to forge specific information (digital information or transaction result), hash values for all blocks formed by the blockchain must be forged, so that the specific information can be completely forged. Therefore, it is almost impossible to falsify the specific information, thereby maximizing the security of the digital information and ensuring the reliability of the transaction result.

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 controls a specific IoT device for a certain period of time. In the case of action information or action information on consumption information for a specific product or music, the name of the IoT device, product, and music are generated as the metadata and included in the block data.

Next, the digital information trading platform 100 applies the upload of the generated block, and applies the newly generated block to the book, thereby updating (⑤) the book, and the generated block to the plurality It propagates (⑥) to the blockchain node of, so that the created block can be shared (⑦).

Through this, rather than intensively storing digital information of the plurality of AI objects 200 centrally, it can be distributed and stored in a database provided in a plurality of blockchain nodes.

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

In addition, the digital information transaction platform 100 verifies the reliability including integrity, legitimacy, or a combination of the digital information of the stored AI object 200, and the AI object whose reliability has been verified by the consumer It is possible to provide digital information of (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 A hash value can be performed by checking whether a hash value for the blockchain exists.

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 through the transaction. At this time, the digital information transaction platform 100, when the consumer searches for specific AI object information based on keywords, searches for metadata based on the keywords and extracts a hash value of a block containing the metadata , By comparing the extracted hash value 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 AI object information has been verified as integrity.

On the other hand, when a specific client (consumer) accesses a specific blockchain node and generates a transaction for the transaction of digital information for a specific AI object 200 through a search, and performs a request for the transaction, the digital information The transaction platform 100 transmits to a plurality of blockchain nodes constituting a blockchain network, so that the plurality of blockchain nodes share a corresponding transaction request.

Thereafter, the digital information transaction platform 100 identifies the owner of the AI object 200 and connects the consumer and the identified owner to generate a transaction of the digital information through the smart contract (⑧).

At this time, the trading party including the owner and the consumer prepares a profile for the transaction of the digital information, and concludes the contract according to the prepared profile.

Meanwhile, the digital information is classified according to a preset depth according to utilization or importance of the digital information, data scale, or processing degree, and the profile is prepared according to the preset depth.

That is, the depth is a reference for a reward to be paid to the owner when the transaction is completed for the corresponding digital information, and the higher the depth is set, the higher the amount of the reward to be paid to the owner.

In addition, the profile is used as a contract condition for the transaction between the contracting parties, and when the contracting party agrees on the profile as one contract condition for the transaction, the digital information trading platform 100 agrees for each depth. By programming with a pre-set program under the established contract conditions, a transaction for the digital information is generated, and a transaction guarantee for the generated transaction is requested from a plurality of blockchain nodes (⑨).

On the other hand, the request is performed by distributing the profile created by the contract terms of the created transaction and the program-generated transaction to a plurality of blockchain nodes.

In addition, the plurality of blockchain nodes simulates and executes the transaction according to the depth set in the corresponding digital information for the transaction guarantee requested by the digital information transaction platform 100, and then signs the executed result to correct the transaction. It will respond to the request (⑩).

On the other hand, a plurality of blockchain nodes that perform a response to the transaction guarantee request is composed of all the blockchain nodes constituting the blockchain network, or by designating at least one specific blockchain node in advance to the transaction guarantee request. It can be configured as a blockchain node that performs a response.

The guarantee is performed to ensure validity and reliability of the transaction, and the plurality of blockchain nodes simulate the programmed transaction internally, such that the digital information of the transaction is forged or falsified, or the consumer By checking whether the reward to be provided to the owner through the transaction is not sufficiently charged in the e-wallet, or the transaction is duplicated or repeated infinitely, it means a process of checking whether there is no problem with the transaction.

Thereafter, when the response to the requested transaction guarantee is received from the plurality of blockchain nodes, the digital information transaction platform 100 determines whether the response collected for each depth satisfies the preset transaction guarantee policy. As a result of the verification, if the transaction guarantee policy is satisfied, the transaction is confirmed to notify that the transaction is confirmed to the plurality of nodes (노드).

On the other hand, the transaction guarantee policy is to ensure the reliability of the transaction based on the response to a plurality of nodes in response to the transaction guarantee request, the size of a blockchain node that performs a response to the transaction guarantee request (for example: 10), if the number of received responses is greater than or equal to a preset threshold (eg, 7 or more) or greater than or equal to a preset response rate (eg, 70%), the digital information transaction platform 100 may perform the transaction. It is judged that there is no abnormality and the transaction is confirmed.

In addition, the notification is performed by generating the transaction result according to the determination as block data, and distributing (ie, propagating) the block data for the generated transaction result to a plurality of nodes, through the distribution. In the node, block data for the transaction result can be shared and stored.

Meanwhile, the block data of the block generated by the transaction result includes a hash value of the corresponding AI object information, a hash value of the previous block, a hash value of the corresponding block, metadata of the AI object information, and the AI object information. Contains stored location information, the depth set for the digital information of the AI object 200, and transaction history information by the transaction.

The transaction information includes owner information of the AI object information (for example, an ID issued to the AI object or a real user ID), buyer information (ID of the purchased AI object or ID of the actual recipient), and a reward (above) It includes the currency information (payment details), coupons, etc. provided to the owner as a reward and the transaction date.

As described above, the digital information transaction platform 100 of the present invention, the digital information for a plurality of artificial intelligence objects 200 managed by the blockchain through smart contracts between contract parties between the artificial intelligence objects 200 By allowing digital information to be conveniently traded, and by allowing reliable digital information to be traded, the digital information can be used for various purposes according to the purpose of the consumer who uses the digital information, and the owner of the digital information To provide rewards for the value of digital information.

3 is a diagram illustrating block data for digital information of an AI object shared, stored, and managed by a specific blockchain node according to an embodiment of the present invention.

As shown in Figure 3, the block data for the digital information of the artificial intelligence object 200 according to an embodiment of the present invention, the corresponding artificial intelligence in the digital information trading platform 100 (ie, block generation node) It is created by creating a block for the digital information of the object 200.

At this time, the digital information transaction platform 100 hashes digital information about the AI object 200 provided from a specific client, extracts a hash value generated as a result of the hash, and hash values for the extracted digital information Generate block data including.

In addition, the digital information transaction platform 100 shares the generated block data with each blockchain node, so that it can be stored in a database of each blockchain node.

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

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 of the block data includes the hash value of the previous block, so that the digital information on the AI entity 200 is formed as a block chain to maximize security for each digital information.

In addition, the block data for the transaction result generated through the transaction includes a hash value for the digital information of the AI object 200, a hash value for the corresponding block, a hash value for the previous block, and metadata for the digital information. In addition to the location information where the digital information is stored and the depth of the digital information, the owner information of the digital information (ID of the AI object for the digital information), the buyer information for the digital information (the AI object that purchased the digital information) ID), rewards (money provided to owners, virtual currency, coupons, etc.), transaction dates, etc.

FIG. 4 is a diagram illustrating a process of evolving an AI entity through a digital information transaction platform according to an embodiment of the present invention.

As shown in Figure 4, the process of evolving the created AI object 200 through the digital information transaction platform 100 according to an embodiment of the present invention is first, the user is the AI object 200 In order to use the first, the corresponding AI object 200 is 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 digital information transaction platform 100 performs reinforcement learning on the learning model by applying the service to the learning model in the corresponding field when the provided service is equal to or greater than a preset frequency, thereby performing the artificial intelligence object ( 200) to evolve.

That is, the digital information transaction 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 digital information transaction platform 100 is to enable the artificial intelligence object 200 to evolve through the reinforcement learning.

In this case, the digital information transaction platform 100 may collect digital information about each AI object 200 in the process of creating, nurturing, and utilizing each AI object 200, and each AI object The collected digital information may be stored in a database preset for (200).

In addition, the digital information transaction platform 100 forms a blockchain for digital information of the collected AI object 200, as described in FIGS. 2 and 3, so that the digital information can be managed through the blockchain. do.

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 400 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 400, and manage it in the blockchain format.

5 is a block diagram showing the configuration of a digital information transaction platform according to an embodiment of the present invention.

As shown in FIG. 5, the digital information transaction platform 100 according to an embodiment of the present invention is an artificial intelligence entity unit that enables creation, training and utilization of the artificial intelligence object 200 through interaction with a user 110, an information storage unit 120 for storing digital information about the AI object 200 that is added, updated, or generated in the process of creating, nurturing, and utilizing the AI object 200, and the stored artificial object Blockchain unit 130 that forms a blockchain for digital information of the intelligent entity 200, reliability verification unit 140 that verifies the reliability of each digital information of the stored artificial intelligence entity 200, a specific digital A transaction constructing unit 160 that allows a trading party to trade information to construct a profile for the transaction of the digital information, and the trading party signs a contract through a smart contract according to the configured profile for the transaction of the digital information It comprises a smart contract unit 170 to conclude and complete the transaction of the corresponding digital information by signing and a reward providing unit 150 that provides a reward according to the transaction confirmation and completion.

Meanwhile, the digital information transaction platform 100 generates an AI object 200 in a shape desired by the user through communication with the user terminal 300, and learns about the created AI object 200 by service field It provides a user interface that allows data to be transmitted and received to generate each model.

In addition, the artificial intelligence object unit 110, a function to generate by modeling the artificial intelligence object 200 for providing a specific service to at least one user automatically or through interaction with the user according to the user's selection To perform.

At this time, the artificial intelligence object unit 110 provides the user with predefined and stored customizing information through the user interface, thereby allowing the user to perform the artificial intelligence through the creation process for creating the artificial intelligence object 200. It is possible to provide explicit information and option information for the object 200, and it is possible to generate explicit information and option information for the AI object 200 given according to a user's selection.

In addition, the artificial intelligence object unit 110 receives the corresponding user characteristic information from a user, generates learning models for each service field for the artificial intelligence object 200 generated by learning the received user characteristic information, respectively. By performing reinforcement learning on the generated learning model for each service field, the artificial intelligence entity 200 generated through the reinforcement learning can be developed to evolve into an independent entity.

That is, the AI object unit 110 generates a learning model for each service field for the AI object 200 based on user characteristic information input from the user, and according to the result of the interaction through interaction with the user By performing reinforcement learning on the generated learning model for each service field, the generated artificial intelligence object is fostered to evolve into an independent object.

Meanwhile, the artificial intelligence entity unit 110 allows the user to 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 entity 200. Through the user interface, a predefined user characteristic information input data format is provided to the user.

Subsequently, when the user inputs his own characteristic information using the characteristic information input data format, the artificial intelligence unit 110 classifies the entered user characteristic information for each service field, and then stores it in a database (not shown). To save.

In addition, the artificial intelligence unit 110 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 control learning model, and a news recommendation learning model. , A learning model for schedule recommendation may be included. 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, when the AI object 200 performs interaction with a user, the AI object unit 110 performs reinforcement learning on the learning model for each service field according to the result of the interaction, thereby generating the AI The artificial intelligence object 200 is fostered so that it can evolve into an independent object.

In addition, the artificial intelligence entity unit 110 may further include a function of mutually combining the at least one learning model so that the artificial intelligence entity 200 can evolve.

That is, the AI entity 110 combines at least one learning model specialized for a specific service according to the degree of association of learning data for reinforcement learning so that the AI entity 200 can evolve.

For example, when recommending music for each time zone by weather, or when controlling multiple IoT devices for adjusting the temperature or humidity in the house for each time zone by weather, services for recommending music by time zone for each weather and controlling IoT devices It can be seen that the related degree of service to be performed 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.

Therefore, the artificial intelligence object unit 110, by combining the learning model for music recommendation and the learning model for controlling the IoT device mutually, by providing a service for music and IoT device control for each time zone by weather, the The AI 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 unit 110 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 evolve into an individual.

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 artificial intelligence entity unit 110, when the user characteristic information is not inputted for the first time, but is inputted after the learning model for each field of service for the artificial intelligence entity 200 and the artificial intelligence entity 200 is generated. , Reinforcing learning on the learning model for each service field may be further performed using the corresponding user characteristic information.

In addition, the AI object unit 110 supports a function for allowing the user to utilize the generated AI object 200, and the AI object 200 performs interaction with the user, According to the performed interaction, at least one service may be provided to the user by using the generated learning model for each service field.

That is, the AI object unit 110 allows the user to utilize the created and nurtured AI object 200 through interaction, thereby controlling a specific IoT device through the AI object 200 or , Report the user's schedule, or recommend music, video, news, products, etc. to the user.

At this time, the AI entity 110 performs a function for the AI entity 200 to generate action information for a series of actions for providing the service.

In addition, the AI object unit 110 uploads digital information about the AI object 200 generated in the process of creating, nurturing, and utilizing the AI object 200 to upload to a specific blockchain node. Will fulfill the request. Meanwhile, as described above, the request for the upload may be performed through the user terminal 300 or the AI device 400 to which the AI object 200 is applied.

Meanwhile, the digital information may be set to a plurality of depths by a user using the artificial intelligence object 200, and the depths may be classified and set according to utilization, importance, data scale, or processing degree of the digital information. Can.

When the digital information is traded, the user applies a reward differently as the corresponding digital information is traded for each depth so as to perform an upload request for the digital information.

For example, since the behavior information includes purchase information for a specific product and consumption information for a purchase pattern, since the behavior information may be important information for an advertiser advertising a specific product, the user may The reward for the action information can be set high by increasing the depth of the action information. When purchasing a plurality of digital information (ie, depending on the target size), the reward can be set lower than the digital information purchased individually. .

In addition, the information storage unit 120 performs a function of storing digital information about the AI object 200 in a specific database (ie, a database of the specific blockchain node) in response to the request for the upload. .

At this time, the digital information, the digital information is encrypted with a public key distributed in advance in the specific blockchain node, the information storage unit 120, the specific digital node, the encrypted digital information in the specific block Make it possible to store it in the database of the chain node.

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

The information storage unit 120 stores digital information on the AI object 200 according to the process of generating, nurturing, and utilizing the AI object 200, and at this time, the AI object 200 The information of the created 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, season, 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 AI object 200 will prefer to maintain the user's home or office below a certain temperature by controlling the IoT device in summer, and in the winter, the user's home or office at a certain temperature. You may prefer to keep it above. Accordingly, the information storage unit 120 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 130 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 130 can propagate and share the generated block data to each blockchain node, so that the block data can be stored in each blockchain node.

In addition, the transaction configuration unit 160 performs a function to configure a profile for the transaction between participating trading partners to trade specific digital information, and the description of the transaction configuration unit 160 It will be described in detail with reference to FIG. 6.

In addition, the reliability verification unit 140 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.

Also, the smart contract 170 performs a function of guaranteeing and confirming transactions between the trading partners based on the configured profile, and the description of the private contract smart 170 will be described in detail with reference to FIG. 7. .

In addition, the digital information transaction platform 100 performs a function of registering users (including owners and consumers) who wish to trade digital information of the AI object 200 through a smart contract, and a specific user registers the registration. When requested, a certificate for authenticating the user is issued to the user, and the certificate is verified in a manner including digital signature, text authentication, or card authentication. At this time, an electronic wallet and an ID for the user are issued through the verification.

At this time, the prisoner may perform the transaction by charging a reward such as virtual currency, cash, coupon, etc. for the transaction in the electronic wallet issued to him.

In addition, when the transaction is guaranteed and confirmed through the smart contract unit 170, the reward providing unit 150, as a reward according to the depth of the corresponding digital information, a currency including cash or virtual currency in the electronic wallet of the owner Alternatively, by charging a coupon or the like, a reward according to the transaction is provided to the owner, and the money or coupon of the electronic wallet of the consumer is extinguished as much as the charge, so that the transaction can be finally completed. .

6 is a block diagram showing in detail the transaction configuration of the digital information transaction platform according to an embodiment of the present invention.

As illustrated in FIG. 6, the transaction configuration unit 160 of the digital information transaction platform 100 according to an embodiment of the present invention uses digital information that is stored and managed as a blockchain according to its purpose. In order to perform the transaction for the selected digital information by selecting the at least one digital information, the information search unit 161 to enable the digital information to be searched through keywords and the at least one digital information according to the search result, It is configured to include a part of profiling 162 constituting the profile for the transaction.

That is, the information retrieval unit 161 provides a search function for retrieving digital information to the consumer, searches for metadata of a specific block using keywords input by the consumer, and then retrieves the retrieved metadata Based on the location information of the block data included in the block, it is possible to search digital information of the AI object 200 stored in a specific database at high speed. At this time, the owner of the digital information 200 is also searched.

At this time, the consumer selects at least one digital information based on the search result, and performs the transaction for the digital information through a smart contract with the owner who owns the digital information.

In addition, the profiling unit 162 performs a function of configuring a profile for the transaction for each depth of the digital information by a trading party including the searched owner and a consumer using the digital information.

In addition, the constructed profile is used as a contract condition for trading the digital information through agreement between the contracting parties.

Meanwhile, the profile includes a hash value of the corresponding digital information, a depth of the corresponding digital information, a reward according to the depth, owner information (ID) of the digital information, and information of the consumer (ID).

Subsequently, the smart contract unit 170 guarantees the transaction through a plurality of nodes constituting the blockchain network based on the configured profile and the agreed contract conditions, and confirms the transaction, thereby establishing reliability between the parties. Make it possible to conduct high transactions.

Hereinafter, the smart contract unit 170 will be described in detail with reference to FIG. 7.

7 is a detailed block diagram of a smart contract unit of a digital information transaction platform according to an embodiment of the present invention.

As shown in FIG. 7, the smart contract unit 170 of the digital information transaction platform 100 according to an embodiment of the present invention is based on a profile configured through the transaction configuration unit 160, the depth of the digital information The transaction guarantee processing unit 171 for generating a transaction under one contract condition agreed between the contracting parties, and performing a transaction guarantee for the transaction, and a transaction confirmation unit (172) for confirming the transaction based on the executed transaction guarantee ).

The transaction guarantee processing unit 171, the contracting party agrees for each depth of the digital information based on the configured profile, and creates a transaction for the contract condition by programming with a program set in advance as the agreed contract condition, Transaction guarantee request unit 171a for requesting a transaction guarantee for each depth of the digital information to the plurality of blockchain nodes, and a transaction for collecting responses to the requested transaction guarantee from the plurality of blockchain nodes for each depth of the digital information It comprises a warranty response collection unit (171b).

The transaction guarantee request unit 171a performs a request for the transaction guarantee by propagating and sharing the transactions generated for each depth to the plurality of blockchain nodes, and the transaction guarantee response collection unit 171b ) Collects a response to the transaction guarantee request from the plurality of blockchain nodes, and performs a function provided to the transaction confirmation unit 172.

On the other hand, the plurality of blockchain nodes, when there is a request for the transaction guarantee, each of the blockchain nodes, internally performs a simulation of the corresponding transaction for each depth of the digital information for the requested transaction guarantee Next, when there is no abnormality in the result of execution, the result is signed, and a response to the transaction guarantee request is performed.

The response is performed by performing the simulation, and checking whether digital information, which is the target of the transaction, is forged or falsified, the transaction is duplicated or repeated indefinitely, or a sufficient reward is not charged in the consumer's electronic wallet. It is performed by authenticating the validity and reliability of the transaction.

In addition, the transaction confirmation unit 172 checks whether the response to the transaction guarantee request for each depth of the digital information collected by the transaction guarantee response collection unit 171b satisfies a preset transaction guarantee policy. Including the transaction assurance verification unit 172a and the transaction confirmation notification unit 172b that confirms the transaction and notifies the plurality of blockchain nodes that the transaction has been confirmed when the check result satisfies the transaction guarantee policy. It is composed.

In the transaction guarantee policy, a response to the transaction guarantee request is greater than or equal to a preset threshold according to the size of a blockchain node that performs a response to the transaction guarantee request specified in advance, or a ratio of the response If it is above a preset threshold, it means a criterion that allows the transaction to be confirmed.

Accordingly, the transaction guarantee verification unit 172a may determine that the transaction satisfies the transaction guarantee policy when the number of responses to the transaction guarantee request or the response rate is greater than or equal to a preset threshold, and confirm the transaction. To make.

In addition, the transaction confirmation notification unit 172b, after the transaction is satisfied with the transaction guarantee policy through the transaction assurance verification unit 172a, confirms the transaction and generates block data for the transaction result of the transaction , By updating the ledger for the transaction result, the generated block data is distributed to a plurality of blockchain nodes, so that the block data for the transaction result can be stored in each blockchain node as a blockchain. Through this, the transaction results are automatically secured with integrity and reliability.

On the other hand, creating block data for the transaction result and sharing and storing it through a plurality of blockchain nodes is a process of generating block data for digital information as described in FIG. 2 and block data for the digital information. It is performed through the same process as the process of sharing. However, the block data for the transaction result further includes transaction history information including the owner information, consumer information, rewards, and transaction date.

In addition, the artificial intelligence digital information transaction platform 100, as a result of the transaction, decrypts the digital information through a private key of a blockchain node connected to a database where the digital information is stored when providing specific digital information to the consumer. By providing it to the consumer, the contents of the corresponding digital information can be checked.

8 is a flowchart illustrating a procedure for performing a transaction for digital information of an AI object through a smart contract according to an embodiment of the present invention.

As shown in FIG. 8, the process of trading digital information of the AI object 200 through the digital information trading platform 100 according to an embodiment of the present invention is first, the digital information trading platform 100 The digital information of the corresponding AI object 200 is collected from the plurality of AI objects 200 and managed by the blockchain (S110).

Meanwhile, a method of collecting and managing the digital information through a block chain has been described with reference to FIG. 2, and further detailed description is omitted.

Next, when the consumer confirms the digital information of at least one artificial intelligence object 200 searched through the search and the owner of the digital information, and configures a profile for digital information transaction with the owner (S120), the The digital information transaction platform 100 requests a transaction guarantee for the corresponding transaction from a plurality of blockchain nodes (S130), and collects a response to the request from each blockchain node.

Meanwhile, the request is performed by transmitting a profile configured for each depth of digital information to at least one or more blockchain nodes that perform a response to the transaction guarantee.

Next, each blockchain node generates a response to the transaction guarantee request, and provides the generated response to the digital information transaction platform 100 (S140).

Each of the blockchain nodes performs the response by authenticating a transaction guarantee for the transaction by performing a simulation on the transaction, as described above.

Next, the digital information transaction platform 100 determines the transaction according to a preset transaction guarantee policy based on the response received from the plurality of blockchain nodes (S150), and the transaction for the confirmed transaction The result is generated as block data, and the book of the transaction result is updated and distributed to the plurality of blockchain nodes, so that the transaction is confirmed and the result can be stored.

At this time, the block data for the distributed transaction result includes a hash value for digital information, a hash value for a block for the block data, and a hash value for the previous block generated immediately before the block, In addition to the metadata for the digital information, the storage location where the digital information is stored, and the depth of the digital information, transaction history information according to the transaction result is further included.

Next, according to the result of the transaction, the digital information is provided to the consumer, and a reward according to the depth of the digital information is provided to the owner so that the transaction can be finally completed.

Thereafter, the consumer and the owner can confirm the result of the transaction by checking the book of the transaction result.

As described above, the present invention allows the digital information on the artificial intelligence object generated in the process of creating, nurturing, and utilizing the artificial intelligence object to be managed by the blockchain, thereby automating the integrity and legitimacy of the digital information. With the digital information being secured, the digital information can be easily traded by using contracting, exchange, gift, or donation of the digital information among contract parties without using a centralized system such as a separate relay server.

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 to this, and each component of the present invention is changed or modified within the technical scope of the present invention 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 can be implemented by those having ordinary knowledge in the course, and these modifications should not be individually understood from the technical idea or prospect of the present invention.

100: digital information trading platform through smart contracts
110: artificial intelligence object unit 120: information storage unit
130: block chain unit 140: reliability verification unit
150: reward providing unit 160: transaction composition unit
161: information retrieval unit 162: profiling unit
170: smart contract unit 171: transaction guarantee processing unit
171a: Transaction guarantee request unit 171b: Transaction guarantee response collection unit
172: transaction confirmation unit 172a: transaction assurance verification unit
172b: Transaction confirmation notification unit 200: AI entity
300: user terminal 400: artificial intelligence device

Claims (12)

A transaction constructing unit in which a trading party configures a profile for trading the digital information with respect to specific digital information; And
It includes; a smart contract unit for the trading party to enter into a contract according to the profile configured for the transaction of the digital information, and to store the transaction result according to the concluded contract as a blockchain;
The digital information is divided into a plurality of depths according to the importance, usability, data scale or processing degree of the digital information, and the contract is digital information through a smart contract, characterized in that the profile is different according to the depth. Trading platform. The method according to claim 1,
The transaction component,
An information retrieval unit that searches for the digital information and the counterpart of the trading party that is the owner of the digital information; And
And a profiling unit configured by the retrieved trading party to configure the profile according to the depth of the digital information. The method according to claim 1,
The smart contract unit,
A transaction that creates a transaction under one agreed contract condition of the contracting party for each depth, requests a transaction guarantee from a plurality of blockchain nodes, and receives and collects a response to the transaction guarantee request from the plurality of blockchain nodes Warranty processing unit; And
And a transaction confirmation unit that verifies the transaction by verifying the collected transaction guarantee according to the preset transaction guarantee policy for each depth. The method according to claim 3,
The transaction guarantee processing unit,
A transaction guarantee request unit in which the contract parties agree on each depth, create a transaction under the agreed contract conditions, and request a transaction guarantee on each depth to a plurality of blockchain nodes;
When the plurality of blockchain nodes simulate and execute the transaction internally for each depth for the requested transaction guarantee, and then sign the executed result and respond to the request for the transaction guarantee, from the plurality of blockchain nodes, And a transaction guarantee response collection unit that collects the response to the requested transaction guarantee for each depth. The method according to claim 3,
The transaction confirmation unit,
A transaction assurance verification unit that checks whether the collected response by the transaction party satisfies the transaction assurance policy; And
If the transaction guarantee policy is satisfied, the transaction confirmation notification unit notifies the other blockchain node that the transaction has been confirmed according to the transaction guarantee.
The transaction confirmation notification is a digital information transaction platform through a smart contract, characterized in that the blockchain node is stored in the blockchain node by generating and distributing the transaction result according to the confirmation as the blockchain node. The method according to claim 1,
The platform,
A digital information trading platform through a smart contract further comprising; a reward providing unit for trading through the smart contract and providing a reward according to the depth of the digital information. A transaction configuration step in which a trading party configures a profile for the transaction of the digital information for specific digital information; And
Includes; a smart contract step in which the trading party enters into a contract according to the configured profile for the transaction of the digital information, and stores the transaction result according to the concluded contract as a blockchain.
The digital information is divided into a plurality of depths according to the importance, usability, data scale or processing degree of the digital information, and the contract is digital information through a smart contract, characterized in that the profile is different according to the depth. How to trade. The method according to claim 7,
The transaction configuration step,
An information retrieval step in which one of the trading partners searches for digital information and the counterpart of the trading party that is the owner of the digital information; And
And a profiling step in which the retrieved trading partner configures the profile according to the depth of the digital information. The method according to claim 7,
The smart contract step,
A transaction that creates a transaction under one agreed contract condition of the contracting party for each depth, requests a transaction guarantee from a plurality of blockchain nodes, and receives and collects a response to the transaction guarantee request from the plurality of blockchain nodes Warranty processing steps; And
And a transaction confirmation step of verifying the transaction by verifying the collected transaction guarantee by the depth and according to a preset transaction guarantee policy. The method according to claim 9,
The transaction guarantee processing step,
A transaction guarantee request step in which the contract parties agree on the depth, create a transaction under the agreed contract condition, and request a transaction guarantee on the depth to a plurality of blockchain nodes;
When the plurality of blockchain nodes simulate and execute the transaction internally for each depth for the requested transaction guarantee, and then sign the executed result and respond to the request for the transaction guarantee, from the plurality of blockchain nodes, And a transaction guarantee response collection step of collecting the response to the requested transaction guarantee for each depth. The method according to claim 9,
The transaction confirmation step,
A transaction assurance verification step wherein the transaction party checks whether or not the collected response for each depth satisfies the transaction assurance policy; And
Includes; when the transaction guarantee policy is satisfied, notifying the other blockchain node that the transaction has been confirmed according to the transaction guarantee;
The transaction confirmation notification is a method of trading digital information through a smart contract, characterized in that the blockchain node is stored in the blockchain node by generating and distributing the transaction result according to the confirmation to the blockchain node as block data. The method according to claim 7,
The above method,
A method of trading digital information through a smart contract, further comprising: providing a reward for trading through the smart contract and providing a reward according to the depth of the digital information.

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