JP7843565B1 - Information processing system, information processing method, and information processing program - Google Patents

Abstract

[Problem] To provide an information processing system, information processing method, information processing program, and AI agent that can efficiently collect information used by an AI agent.
[Solution] In the information processing system 10, the AI agent includes an information generation means that generates characteristic information representing the purpose and function of an information source based on information collected from the information source, and stores the characteristic information in a storage means in association with the information source; an activation trigger analysis means that analyzes a given activation trigger; and a processing execution means that executes a specific process for the activation trigger based on the analysis results of the activation trigger. When the processing execution means executes the specific process, it determines whether at least a part of the analysis results of the activation trigger is related to the characteristic information, and if the two are related, it selects the information source based on the characteristic information and executes the specific process using the information obtained from the selected information source.
[Selection Diagram] Figure 1

Description

This invention relates to an information processing system, an information processing method, and an information processing program using an AI agent, as well as to an AI agent.

Conventionally, a content delivery system has been proposed that, by constructing an agent system, allows the server-side agent to anticipate the information the user is likely to want during the initial communication with the user-side agent, without requiring further communication between the agents. This system can then cache the anticipated information in advance, enabling the system to instantly display the necessary information one after another (see, for example, Patent Document 1).

Japanese Patent Publication No. 2003-330843

However, while Patent Document 1 discloses a technical concept of anticipating the next information the user is likely to want, it lacks specific details on how to implement this. Therefore, the system described in that document makes it difficult for the agent to efficiently collect information.

In view of these circumstances, the present invention aims to provide an information processing system, an information processing method, and an information processing program that can efficiently collect information used by an AI agent and increase the execution speed of processing by the AI agent.

The information processing system according to the present invention is an information processing system comprising an AI agent and a plurality of information sources, wherein the AI agent comprises: an information generation means that generates characteristic information representing the purpose or function of the information source based on information collected from the information sources and stores the characteristic information in a storage means in association with the information source; an activation trigger analysis means that performs an analysis of a given activation trigger; a processing execution means that performs a specific process for the activation trigger based on the analysis result of the activation trigger ; and an information collection means that collects evaluation information including evaluations, word of mouth, and comments for the information source, wherein when the processing execution means performs the specific process, it determines whether at least a part of the analysis result of the activation trigger is related to the characteristic information, and if the two are related, it selects the information source based on the characteristic information and performs the specific process using the information obtained from the selected information source , and when the processing execution means selects the information source based on the characteristic information, it selects the information source taking into consideration the evaluation information .

Furthermore, the information processing method according to the present invention is an information processing method that is performed using an AI agent and a plurality of information sources, wherein the AI agent performs an information generation step of generating characteristic information representing the purpose or function of the information source based on information collected from the information sources and storing the characteristic information in a storage means in association with the information source; an activation trigger analysis step of performing an analysis of a given activation trigger; a processing execution step of performing a specific process for the activation trigger based on the analysis results of the activation trigger; and an information collection step of collecting evaluation information including evaluations, word of mouth, and comments for the information source, wherein the processing execution step determines whether at least a part of the analysis results of the activation trigger is related to the characteristic information when performing the specific process, and if the two are related, selects the information source based on the characteristic information and performs the specific process using the information obtained from the selected information source , and the processing execution step selects the information source taking into consideration the evaluation information when selecting the information source based on the characteristic information.

Furthermore, the information processing program according to the present invention is a program for an information processing system comprising an AI agent and a plurality of information sources, wherein the AI agent, which is a computer, functions as an information generation means that generates characteristic information representing the purpose or function of the information source based on information collected from the information sources, and stores the characteristic information in a storage means in association with the information source; an activation trigger analysis means that performs an analysis of a given activation trigger; a processing execution means that performs a specific process for the activation trigger based on the analysis results of the activation trigger; and an information collection means that collects evaluation information including evaluations, word-of-mouth, and comments for the information source , wherein when the processing execution means performs the specific process, it determines whether at least a part of the analysis results of the activation trigger is related to the characteristic information, and if the two are related, it selects the information source based on the characteristic information and performs the specific process using the information obtained from the selected information source , and when the processing execution means selects the information source based on the characteristic information, it selects the information source taking the evaluation information into consideration .

The information processing system, information processing method , and information processing program according to the present invention can efficiently collect information used by an AI agent and achieve the excellent effect of increasing the execution speed of processing by the AI agent.

This is a schematic diagram showing an overview of the information processing system 10 according to this embodiment. This is a system configuration diagram showing an example of the configuration of the information processing system 10 according to this embodiment. This figure shows a specific example of processing performed by the information processing system 10 according to this embodiment.

The following describes an information processing system 10 according to an embodiment of the present invention, using the drawings.

<System Overview>
First, an overview of the information processing system 10 according to this embodiment will be described using Figure 1. Figure 1 is a schematic diagram showing an overview of the information processing system 10 according to this embodiment.

The information processing system 10 is an information processing system configured to include an AI agent 12 and a plurality of information sources 14 (information sources 14a, 14b, ...). The AI agent 12 comprises: an information generation means 12a that generates characteristic information representing the purpose and function of the information sources 14 based on information collected from the information sources 14, and stores this characteristic information in a storage means (storage device 26) in association with the information sources 14; an activation trigger analysis means 12b that analyzes a given activation trigger; and a processing execution means 12c that executes a specific process for the activation trigger based on the analysis results of the activation trigger. The processing execution means 12c, when executing a specific process, determines whether at least a part of the analysis results of the activation trigger is related to the characteristic information. If both are related, it selects an information source 14 based on the characteristic information and executes the specific process using the information obtained from the selected information source 14.

According to the information processing system of this embodiment, information used by the AI agent can be efficiently collected, and the execution speed of processing by the AI agent can be increased.

Here, "AI agent" refers to a system that acts as a human agent, possessing the ability to learn and make decisions independently, and integrating various AI technologies for complex problem-solving.

AI agents can perform tasks based on external triggers (e.g., user prompts, sensor inputs) or internal triggers (e.g., activation by an internal scheduler, occurrence of an anomaly).

For example, when a question (prompt) is given as an external trigger (event), the system executes tasks such as searching for or generating an answer to the question, and outputs the answer. Similarly, when a problem (prompt) is given as an external trigger (event), the system executes tasks such as searching for or generating solutions to the problem, and outputs the solutions to the problem.

Furthermore, a "prompt" refers to instructions or questions given by a user to a system. Examples include AI prompts given to generating AI, and command prompts that provide instructions through command statements.

The various processes performed by AI agents can also be performed by "agent-type AI."

Here, "agent-based AI" refers to a system in which multiple AI agents work together. Agent-based AI solves complex problems that a single AI agent cannot solve. Each AI agent plays a specialized role, exchanging information with others to output answers to questions or solutions to problems.

An "information source" refers to the origin or source of information. Examples of information sources include websites, application software (sometimes referred to as "apps"), SaaS (Software as a Service), databases, data warehouses, storage services, and search engines.

"Characteristic information" refers to information that describes the purpose and function of an information source. Examples of characteristic information include: information provision (news, stocks, company websites and apps, blogs sharing hobbies or expertise, etc.), buying and selling of goods (e-commerce, hotel and ticket reservations, etc.), interaction and communication (SNS, bulletin boards, chat, video conferencing, etc.), service provision (storage, translation, games, etc.), declarative advertising (event announcements, product promotions, etc.), provision of specialized information and services (medical, education, real estate, etc.), development support (cloud IDE, code management, etc.), sales support (advertising management support, SNS management support, etc.), and business support (accounting, human resources, attendance management, customer management, etc.).

"Characteristic information" may be further subdivided. For example, "Information Provision" could be a major category, and the content of "Information Provision" (e.g., news, stocks, hobbies, specialized knowledge, etc.) could be subdivided into smaller categories, or the target audience of "Information Provision" (e.g., male, female, young people, middle-aged and elderly, Japanese, foreigners, etc.) could be subdivided into smaller categories.

Furthermore, the system includes information gathering means for collecting evaluation information, including ratings, reviews, and comments, for information source 14. When the processing execution means 12c selects information source 14 based on characteristic information, it may also consider the evaluation information when selecting the information source 14.

This configuration allows for the selection of appropriate information sources from multiple sources based on evaluation information, thereby improving the accuracy of processing by the AI agent.

Furthermore, the information source may include websites, and the information generation means 12a may generate characteristic information of the website based on tags obtained from the website.

This configuration allows for improved accuracy in the characteristic information of the source websites, and by selecting information sources with a high correlation to the analysis results of the trigger, the accuracy of processing by the AI agent can be enhanced.

Here, "tags" include HTML tags, conversion tags, and tool control tags. HTML tags are tags written in HTML (Hyper Text Markup Language), the programming language used to construct websites. Conversion tags are tags used to count actions that lead to purchases or inquiries. By using them in web advertising such as listing ads, accurate conversion numbers can be tracked. Tool control tags are tags used to link and use embedded tools within HTML. When a website with embedded tool control tags is accessed, user information, traffic sources, and exit points can be collected and reviewed.

Furthermore, the information generation means 12a may generate characteristic information about the website based on the information collected by the website.

This configuration allows for improved accuracy in the characteristic information of the source websites, and by selecting information sources with a high correlation to the analysis results of the trigger, the accuracy of processing by the AI agent can be enhanced.

Here, "information collected by a website" includes, for example, personal information, browser and OS type and version, location information, visit history, IP address, network type, page view and ad click history, purchase history, and point usage status.

Furthermore, the information source may include application software, and the information generation means 12a may generate characteristic information of the application software based on the information collected by the application software.

This configuration improves the accuracy of the application software's characteristic information, which serves as the data source. By selecting data sources with a high correlation to the analysis results of the activation trigger, the accuracy of processing by the AI agent can be enhanced.

Here, "information collected by application software" includes, for example, personal information, OS type and version, location information, movement history, IP address, network type, in-app operation history, browsing history and advertisement click history, purchase history and point usage status, etc.

<Example of system configuration>
Next, an example of the configuration of the information processing system 10 according to this embodiment will be described using Figure 2. Figure 2 is a system configuration diagram showing an example of the configuration of the information processing system 10 according to this embodiment.

The information processing system 10 can be configured, for example, with a system terminal 12 that controls the entire system, and a plurality of information sources 14 and external terminals 16 that are connected to the system terminal 12 via a network NW and capable of communicating with each other.

The system terminal 12 is a terminal that constitutes the AI agent and controls the entire information processing system 10. It is composed of conventionally known servers, personal computers, etc. In this example, the system terminal 12 is configured as a single server, but it may be configured as multiple servers or personal computers, etc. The hardware configuration of the system terminal 12 and the programs it executes will be described later.

Multiple information sources 14 are configured to include information sources A14a, information source B14b, etc.

Information source A14a is a web server that provides a website. The content of a website is not particularly limited, but examples include: sites for providing information (news, stocks, company websites, blogs sharing hobbies or expertise, etc.), sites for buying and selling goods (e-commerce, hotel and ticket reservations, etc.), sites for interaction and communication (SNS, bulletin boards, chat, video conferencing, etc.), sites for providing services (storage, translation, games, etc.), sites for advertising (event announcements, product promotions, etc.), sites for providing specialized information or services (medical, education, real estate, etc.), sites for development support (cloud IDE, code management, etc.), sites for sales support (advertising management support, SNS management support, etc.), and sites for business support (accounting, human resources, attendance management, customer management, etc.).

Information source 14b is a server that provides the application, and can be configured as, for example, SaaS (Software as a Service). The content of the application is not particularly limited, but examples include: applications for providing information (news, stocks, official company apps, blogs for sharing hobbies or expertise, etc.), applications for buying and selling goods (e-commerce, hotel and ticket reservations, etc.), applications for interaction and communication (SNS, bulletin boards, chat, video conferencing, etc.), applications for providing services (storage, translation, games, etc.), applications for declarative advertising (event announcements, product promotions, etc.), applications for providing specialized information or services (medical, education, real estate, etc.), applications for development support (cloud IDE, code management, etc.), sales support (advertising operation support, SNS operation support, etc.), and applications for business support (accounting, human resources, attendance, customer management, etc.).

Furthermore, one, several, or all of the multiple information sources 14 may be processing devices interconnected with the system terminal 12 via a local network (e.g., LAN or P2P). Therefore, for example, a website may be an intranet, and an application may be an application stored in the system terminal 12's storage means (e.g., storage device 26) or an application installed on a mobile terminal connected to the network NW (e.g., a tablet or smartphone).

The external terminal 16 is a terminal used by users of the information processing system 10 (individuals or specific groups of people (teams, departments, companies, etc.)), and consists of personal computers, tablets, smartphones, etc. The type of external terminal 16 is not particularly limited, but examples include smartphones, personal computers, and tablets used by individuals, or smartphones, personal computers, and tablets used by employees of a company.

The network NW is a line that allows the system terminal 12, the information source 14, and the external terminal 16 to communicate with each other, and is typically composed of a WAN (Wide Area Network), also known as the Internet. The network NW may be a wired or wireless LAN (Local Area Network), a dedicated line such as a VPN (Virtual Private Network), or a combination of these lines.

<System Terminal/Hardware Configuration Example>
Next, we will describe an example of the hardware configuration of the system terminal 12.

As shown in Figure 2, the system terminal 12 is configured, for example, with a CPU 21, and a ROM 22, RAM 23, external storage drive 25, storage device 26, input device 27, display device 28, communication unit 29, etc., all connected to the CPU 21 via a bus.

The CPU 21 is a control means that controls the entire system terminal 12. It performs processes such as executing application programs and operating systems (OS) stored in ROM 22 and storage devices 26, and storing data and files necessary for program execution in RAM 23 and storage devices 26.

ROM 22 is a storage means for storing basic I/O programs and various data, and is composed of, for example, PROM, flash memory, etc. RAM 23 is a storage means for temporarily storing data, and is composed of, for example, SDRAM, DRAM, etc. External storage drive 25 is a control means capable of reading and writing data to recording media 24 such as magnetic tape and DVD, and is composed of, for example, magnetic tape storage, DVD drive, etc.

The storage device 26 is a storage means for storing application programs, the OS, control programs, related programs, and various information, and is composed of, for example, a hard disk drive (HDD), a solid-state drive (SDD), etc. The input device 27 is for inputting commands (instructions), etc., to the system terminal 12, and is composed of, for example, a keyboard, a pointing device (mouse, etc.), a touch panel, etc.

The display device 28 displays commands input by the input device 27, the response output from the system terminal 12 to those commands, and various other displays. It is composed of, for example, a liquid crystal display, plasma display, or organic EL display. The communication unit 29 is a control means that controls communication with the information source 14 and external terminals 16, etc., via the network NW. It is composed of, for example, a communication card.

<System Terminal/Functions>
Next, the functions of the system terminal 12 will be described.

The storage device 26 of the system terminal 12 stores a program (information processing program) that enables the system terminal 12 to function as an information generation means 12a, a startup trigger analysis means 12b, and a processing execution means 12c.

<System terminal / Function / Information generation means>
Next, the information generation means 12a will be described.

The information generation means 12a generates characteristic information representing the purpose and function of the information source 14 based on information collected from the information source 14, and stores this characteristic information in a storage means (storage device 26) in association with the information source 14. In this example, it is composed of a program stored in the storage device 26 of the system terminal 12, and the storage device 26 itself.

The information generation means 12a crawls through a plurality of information sources 14 (information source A14a, information source B14b, ...) at predetermined intervals, generates characteristic information representing the purpose and function of each information source 14 based on the information obtained from them, and stores this characteristic information in the storage device 26, associating it with each information source 14.

As mentioned above, an "information source" refers to the origin or source of information. Examples of information sources include websites, application software (sometimes referred to as "apps"), SaaS (Software as a Service), databases, data warehouses, storage services, and search engines.

"Characteristic information" refers to information that describes the purpose and function of an information source. Examples of characteristic information include: information provision (news, stocks, company websites and apps, blogs sharing hobbies or expertise, etc.), buying and selling of goods (e-commerce, hotel and ticket reservations, etc.), interaction and communication (SNS, bulletin boards, chat, video conferencing, etc.), service provision (storage, translation, games, etc.), declarative advertising (event announcements, product promotions, etc.), provision of specialized information and services (medical, education, real estate, etc.), development support (cloud IDE, code management, etc.), sales support (advertising management support, SNS management support, etc.), and business support (accounting, human resources, attendance management, customer management, etc.).

"Characteristic information" may be further subdivided. For example, "Information Provision" could be a major category, and the content of "Information Provision" (e.g., news, stocks, hobbies, specialized knowledge, etc.) could be subdivided into smaller categories, or the target audience of "Information Provision" (e.g., male, female, young people, middle-aged and elderly, Japanese, foreigners, etc.) could be subdivided into smaller categories.

For example, the information generation means 12a crawls the information source A14a, which consists of a web server, at predetermined intervals. If the website provided by information source A14a is an e-commerce site, it generates "Buying and selling goods (e-commerce site)" as one of the characteristic information of information source A14a, as shown in Figure 3(a), and stores this characteristic information (buying and selling goods (e-commerce site)) in the storage device 26, associating it with an identifier that identifies information source A14a (for example, the ID of information source A14a).

If the website provided by information source A14a is a news distribution site, the information generation means 12a generates "Information Provision (News)" as one of the characteristic information of information source A14a, as shown in Figure 3(b), and stores this characteristic information (Information Provision (News)) in the storage device 26, associating it with an identifier that identifies information source A14a (for example, the ID of information source A14a).

If the website provided by information source A14a is a promotional site for a certain product (e.g., cosmetics), then the information generation means 12a generates "Advertising (Cosmetics)" as one of the characteristic information of information source A14a, as shown in Figure 3(c), and stores this characteristic information (advertising) in the storage device 26, associating it with an identifier that identifies information source A14a (e.g., the ID of information source A14a).

Furthermore, the information generation means 12a generates characteristic information about the website based on tags obtained from the website and information collected by the website.

Here, "tags" include HTML tags, conversion tags, and tool control tags. Furthermore, "information collected by the website" includes, for example, personal information, browser and OS type and version, location information, visit history, IP address, network type, page and ad click history, purchase history, and point usage status.

For example, when the information generation means 12a obtains personal information (age, gender) from tags acquired from a website provided by information source A14a, which consists of a web server, or from information collected by the website, it stores this characteristic information (personal information (age, gender)) in the storage device 26, as shown in Figures 3(a) to 3(c), associating it with an identifier that identifies information source A14a (for example, the ID of information source A14a).

Furthermore, the information generation means 12a crawls the information source B14b, which consists of SaaS, at predetermined intervals. If the application provided by information source B14b is an accounting/bookkeeping service, it generates "Business Support (Accounting)" as one of the characteristic information of information source B14b, as shown in Figure 3(d). This characteristic information (Business Support (Accounting)) is then associated with an identifier that identifies information source B14b (for example, the ID of information source B14b) and stored in the storage device 26.

Furthermore, if the application provided by information source B14b is a bulletin board, the information generation means 12a generates "Interaction Dialogue (Bulletin Board)" as one of the characteristic information of information source B14b, as shown in Figure 3(e), and stores this characteristic information (Interaction Dialogue (Bulletin Board)) in the storage device 26, associating it with an identifier that identifies information source B14b (for example, the ID of information source B14b).

Furthermore, if the application provided by information source B14b is a blog that publishes information about home appliances, then, as shown in Figure 3(f), the information generation means 12a generates "Information Provision (Home Appliances)" as one of the characteristic information of information source B14b, and stores this characteristic information (Information Provision (Home Appliances)) in the storage device 26, associating it with an identifier that identifies information source B14b (for example, the ID of information source B14b).

Furthermore, the information generation means 12a generates characteristic information of the application based on the information collected by the application.

Here, "information collected by application software" includes, for example, personal information, OS type and version, location information, movement history, IP address, network type, in-app operation history, browsing history and advertisement click history, purchase history and point usage status, etc.

For example, when the information generation means 12a obtains browsing history from information collected by an application provided by information source B14b, which is a SaaS, it stores the characteristic information (browsing history) in the storage device 26, as shown in Figures 3(d) to 3(f), associating it with an identifier that identifies information source B14b (for example, the ID of information source B14b).

<System terminal/function/activation trigger analysis method>
Next, the activation trigger analysis means 12b will be described.

The startup trigger analysis means 12b is a means for analyzing a given startup trigger, and in this example, it consists of a program stored in the storage device 26 of the system terminal 12, and the storage device 26 itself.

As mentioned above, "activation triggers" include, for example, activation triggers provided from outside the AI agent 12 (e.g., user questions (prompts), signal input from sensors) and activation triggers provided from within the AI agent 12 (e.g., activation by the internal scheduler, occurrence of an anomaly).

When a prompt is provided by a user of the information processing system 10 (for example, an individual or a specific group of people (team, department, company, etc.)) using an external terminal 16 as a trigger for activation, the activation trigger analysis means 12b acquires the prompt entered by the user, associates the acquired prompt with the user's ID, and stores it in the storage device 26.

Here, "prompt" refers to the information (data) of commands or questions entered by a user of the information processing system 10 using the input means (keyboard, pointing device (mouse, etc.), touch panel, microphone, etc.) of the external terminal 16. The data format of the "prompt" is not particularly limited and may be, for example, text data, audio data, still image data, video data, or a file.

Examples of "prompts" include text data such as commands or questions to the information processing system 10, audio data, files uploaded by users, still image data, or video data.

Next, the startup trigger analysis means 12b performs a prompt analysis stored in the storage device 26 and generates the analysis result of the prompt.

Here, the prompt analysis focuses on, for example, the content of the prompt and the user's requests inferred from that content.

For example, if the content of a prompt is to be analyzed, the activation trigger analysis means 12b uses the text data, audio data, image data, etc., contained in the prompt to identify the content of the prompt (e.g., sentences, phrases, words, keywords, feature points, etc.), and stores the identified content in the storage device 26, associating it with the user's ID, as the prompt analysis result.

Furthermore, for example, if the analysis targets user requests inferred from the content of a prompt, the activation trigger analysis means 12b uses the text data, audio data, image data, etc., contained in the prompt to identify user requests inferred from the prompt content (e.g., requesting a specific analysis, requesting translation, requesting program generation, etc.), and stores the identified user requests in the storage device 26, associating them with the user's ID as the prompt analysis result.

<System terminal / Function / Processing execution means>
Next, the processing execution means 12c will be described.

The processing execution means 12c is a means that performs a specific process for a startup trigger based on the analysis results of the startup trigger, determines whether at least a part of the analysis results of the startup trigger is related to characteristic information, selects an information source 14 based on the characteristic information if both are related, and performs the specific process using the information obtained from the selected information source 14. In this example, it is composed of a program stored in the storage device 26 of the system terminal 12, and the storage device 26, etc.

As a trigger for activation, when a user of the information processing system 10 provides a question (prompt), the processing execution means 12c searches for an answer to the question, generates an answer, and outputs the answer to the question.

Furthermore, when the processing execution means 12c searches for an answer to a question, it determines whether at least a part of the analysis results of the trigger is related to characteristic information. If the two are related, it selects an information source 14 based on the characteristic information and outputs an answer to the question using the information obtained from the selected information source 14.

For example, consider a scenario where the prompt is "What cosmetics do you recommend for people in their 20s?", and the analysis of the trigger (prompt) results in the information "Target age: women in their 20s, Target product: cosmetics, Popular cosmetics among all cosmetics" being stored in memory device 26. Furthermore, the characteristic information of information source A14a includes "Product sales, personal information (age, gender)," and the personal information (age, gender) in the characteristic information includes information about women in their 20s.

In this case, the processing execution means 12c determines that "the target age is women in their 20s," which is part of the analysis result of the activation trigger (prompt), matches (is related to) "personal information (women in their 20s)," which is characteristic information of information source A14a, and selects information source A14a (in this example, an e-commerce site) based on the characteristic information.

Then, using the selected information source A14a (e-commerce site), the system searches for answers to the question, or generates answers using information obtained from information source A14a (for example, information about cosmetics), and outputs answers to the question (for example, text data such as "The best-selling cosmetic product is X").

Furthermore, consider a scenario where, for example, the prompt is "What cosmetics do you recommend for people in their 20s?", and the analysis of the trigger (prompt) results in the information "Target age: women in their 20s, Target product: cosmetics, Popular cosmetics among all cosmetics" being stored in the memory device 26. Additionally, the characteristic information of information source A14a, "Declaration advertisement (cosmetics), Personal information (age, gender)," is also stored in the memory device 26.

In this case, the processing execution means 12c determines that "the target product is cosmetics," which is part of the analysis result of the activation trigger (prompt), matches "advertising (cosmetics)," which is the characteristic information of information source A14a, and selects information source A14a (in this example, a cosmetics promotion site) based on the characteristic information.

Then, using the selected information source A14a (a cosmetics promotion site), the system searches for answers to the question, or generates answers using information obtained from information source A14a (for example, information about the cosmetics being promoted), and outputs answers to the question (for example, text data such as "How about cosmetic Y?").

When a user of the information processing system 10 provides a task (prompt), the processing execution means 12c searches for or generates solutions to the task and outputs those solutions.

Furthermore, when the processing execution means 12c searches for a solution to the problem, it determines whether at least a part of the analysis results of the trigger is related to characteristic information. If both are related, it selects an information source 14 based on the characteristic information and outputs a solution to the problem using the information obtained from the selected information source 14.

For example, consider a scenario where the prompt is "Create a ranking of the top 100 home appliances likely to become popular in Japan," and the analysis of the trigger (prompt) results in the information "Target region: Japan, Survey subject: Home appliances, Ranking: From 1st to 100th place" being stored in the storage device 26. Furthermore, the characteristic information of information source B14b, "Information provided (home appliances), Browsing history," is also stored in the storage device 26.

In this case, the processing execution means 12c determines that "the subject of the investigation is home appliances," which is part of the analysis result of the activation trigger (prompt), matches the characteristic information of information source B14b, "information provision (home appliances)," and selects information source B14b (in this example, a blog that publishes information about home appliances) based on the characteristic information.

Then, using the selected information source B14b (a blog that provides information on home appliances), the system searches for answers to the question, or generates answers using information obtained from information source B14b (for example, articles that evaluate or introduce home appliances, or the viewing history of those articles), and outputs answers to the question (for example, image data illustrating home appliance rankings).

Furthermore, consider the case where the prompt is "Create a ranking of the top 100 home appliances that are likely to become popular in Japan," and the analysis of the trigger (prompt) results in the information "Target region: Japan, Survey subject: Home appliances, Ranking: From 1st to 100th place" being stored in the storage device 26, and the characteristic information of information source B14b being "Interaction (bulletin board), browsing history," and the characteristic information "Interaction (bulletin board)" includes threads related to home appliances.

In this case, the processing execution means 12c determines that "the subject of investigation is home appliances," which is part of the analysis result of the activation trigger (prompt), matches the characteristic information of information source B14b, "a thread about home appliances in a chat room (bulletin board)," and selects information source B14b (the bulletin board in this example) based on the characteristic information.

Then, the system searches for answers to the question using the selected information source B14b (bulletin board), or generates answers using information obtained from information source B14b (e.g., reviews and comments about home appliances), and outputs answers to the question (e.g., information on the URL of a website listing the top 100 home appliances).

This example demonstrates that information used by the AI agent can be collected efficiently, thereby increasing the processing speed of the AI agent.

Furthermore, the system includes information gathering means for collecting evaluation information, including ratings, reviews, and comments, for information source 14. When the processing execution means 12c selects information source 14 based on characteristic information, it may also consider the evaluation information when selecting the information source 14.

This configuration allows for the selection of appropriate information sources from multiple sources based on evaluation information, thereby improving the accuracy of processing by the AI agent.

<Information Processing Systems / Summary>
As described above, the information processing system according to this embodiment (for example, the information processing system 10 shown in Figures 1 and 2) is an information processing system configured to include an AI agent (for example, the AI agent 12 shown in Figure 1, the system terminal 12 shown in Figure 2) and a plurality of information sources (for example, a plurality of information sources 14 shown in Figure 1), wherein the AI agent generates characteristic information representing the purpose and function of the information source based on the information collected from the information source, and stores the characteristic information in a storage means (for example, the storage device 26 shown in Figures 1 to 3) associated with the information source, and the information generation means (for example, the information generation means 12 shown in Figures 1 to 3) a) an information processing system comprising: an activation trigger analysis means (for example, the activation trigger analysis means 12b shown in Figures 1 and 2) for analyzing a given activation trigger; and a processing execution means (for example, the processing execution means 12c shown in Figures 1 to 3) for executing a specific process for the activation trigger based on the analysis results of the activation trigger, wherein the processing execution means, when executing the specific process, determines whether at least a part of the analysis results of the activation trigger is related to the characteristic information, and if the two are related, selects the information source based on the characteristic information and executes the specific process using the information obtained from the selected information source.

Furthermore, the information processing method according to this embodiment (for example, the method executed by the information processing system 10 shown in Figures 1 and 2) is an information processing method executed using an AI agent (for example, the AI agent 12 shown in Figure 1, the system terminal 12 shown in Figure 2) and a plurality of information sources (for example, a plurality of information sources 14 shown in Figure 1), comprising an information generation step (for example, a process executed by the information generation means 12a shown in Figures 1 to 3) which generates characteristic information representing the purpose and function of the information source based on information collected from the information source, associates the characteristic information with the information source and stores it in a storage means (for example, a storage device 26 shown in Figures 1 to 3), and a given startup contract The information processing method comprises a startup trigger analysis step for analyzing the machine (for example, a process executed by the startup trigger analysis means 12b shown in Figures 1 and 2), and a processing execution step for executing a specific process for the startup trigger based on the analysis results of the startup trigger (for example, a process executed by the processing execution means 12c shown in Figures 1 to 3). The processing execution step, when executing the specific process, determines whether at least a part of the analysis results of the startup trigger is related to the characteristic information. If both are related, it selects the information source based on the characteristic information and executes the specific process using the information obtained from the selected information source.

Furthermore, the program for the information processing system according to this embodiment (for example, the information processing system 10 shown in Figures 1 and 2) is a program for an information processing system configured to have an AI agent (for example, the AI agent 12 shown in Figure 1, the system terminal 12 shown in Figure 2) and a plurality of information sources (for example, a plurality of information sources 14 shown in Figure 1), wherein the AI agent, which is a computer, generates characteristic information representing the purpose and function of the information source based on information collected from the information source, and stores the characteristic information in a storage means (for example, the storage device 26 shown in Figures 1 to 3) associated with the information source. This information processing program comprises a means 12a), a trigger analysis means (for example, the trigger analysis means 12b shown in Figures 1 and 2) for analyzing a given trigger, and a processing execution means (for example, the processing execution means 12c shown in Figures 1 to 3) for executing a specific process for the trigger based on the analysis results of the trigger. The processing execution means, when executing the specific process, determines whether at least a portion of the analysis results of the trigger is related to the characteristic information. If both are related, it selects the information source based on the characteristic information and uses the information obtained from the selected information source to execute the specific process.

Furthermore, the AI agent according to this embodiment (for example, the AI agent 12 shown in Figure 1, the system terminal 12 shown in Figure 2) is an AI agent that operates as a substitute for a human and has the ability to learn and make decisions on its own. The AI agent, which is a computer, generates characteristic information representing the purpose and function of an information source (for example, a plurality of information sources 14 shown in Figure 1) based on information collected from the information source, and stores the characteristic information in a storage means (for example, a storage device 26 shown in Figures 1 to 3) in association with the information source. The AI agent also includes an information generation means (for example, the information generation means 12a shown in Figures 1 to 3) that analyzes a given activation trigger. b) The AI agent is configured to function as a processing execution means (for example, the processing execution means 12c shown in Figures 1 to 3) that executes a specific process for the trigger based on the analysis results of the trigger. The processing execution means, when executing the specific process, determines whether at least a portion of the analysis results of the trigger is related to the characteristic information. If both are related, it selects the information source based on the characteristic information, and uses the information obtained from the selected information source to execute the specific process. The AI agent is configured such that the analysis results of the trigger and the characteristic information are repeatedly provided as training data, and the information source suitable for the specific process is acquired through machine learning.

According to the information processing system, information processing method, information processing program, and AI agent of this embodiment, information used by the AI agent can be efficiently collected, and the execution speed of processing by the AI agent can be increased.

Furthermore, the system may include an information gathering means (or information gathering step) for collecting evaluation information, including ratings, reviews, and comments, for the aforementioned information source. The processing execution means (or information gathering step) may also select the information source considering the evaluation information when selecting the information source based on the characteristic information.

This configuration allows for the selection of appropriate information sources from multiple sources based on evaluation information, thereby improving the accuracy of processing by the AI agent.

Furthermore, the information source may include a website, and the information generation means (or the information generation step) may generate the characteristic information of the website based on tags (e.g., HTML tags, conversion tags, tool control tags) obtained from the website.

This configuration allows for improved accuracy in the characteristic information of the source websites, and by selecting information sources with a high correlation to the analysis results of the trigger, the accuracy of processing by the AI agent can be enhanced.

Furthermore, the information generation means may generate characteristic information about the website based on information collected by the website (for example, personal information, browser and OS type and version, location information, visit history, IP address, network type, page and advertisement click history, purchase history, and point usage status, etc.).

This configuration improves the accuracy of the characteristic information of the source websites, and by selecting information sources that are highly relevant to the analysis results of the trigger, the accuracy of processing by the AI agent can be improved.

Furthermore, the information source may include application software, and the information generation means (or the information generation step) may generate the characteristic information of the application software based on information collected by the application software (for example, personal information, OS type and version, location information, movement history, IP address, network type, in-app operation history, browsing history of pages and advertisements, purchase history, point usage status, etc.).

This configuration improves the accuracy of the characteristic information of the application software that serves as the information source. By selecting information sources that are highly correlated with the analysis results of the trigger event, the accuracy of processing by the AI agent can be improved.

Furthermore, the information processing system, information processing method, information processing program, and AI agent according to the present invention are not limited to the embodiments described above, and various modifications can be made without departing from the spirit of the present invention.

Therefore, for example, in the above embodiment, the "characteristic information" according to the present invention may be any information representing the purpose or function of the information source, and is not limited to the information exemplified. Furthermore, the "activation trigger" according to the present invention is not limited to a prompt, but may be an externally provided activation trigger (e.g., a signal input from a sensor) or an internally provided activation trigger (e.g., activation by an internal scheduler, occurrence of an anomaly).

Furthermore, the "information source" according to the present invention is not limited to websites or applications, but may also include databases, data warehouses, storage services, search engines, etc.

The information processing system, information processing method, information processing program, and AI agent according to the present invention can be widely applied in manufacturing, service, retail, and other industries.

10 Information processing system 12 System terminal 12a Information generation means 12b Activation trigger analysis means 12c Processing execution means 14 Information source 16 External terminal 21 CPU
22 ROM
23 RAM
24 Recording medium 25 External storage drive 26 Storage device 27 Input device 28 Display device 29 Communication unit

Claims (5)

An information processing system comprising an AI agent and multiple information sources,
The aforementioned AI agent,
Information generation means that generates characteristic information representing the purpose or function of the information source based on information collected from the information source, and stores the characteristic information in a storage means in association with the information source;
A trigger analysis means for analyzing a given trigger,
A processing execution means that executes a specific process for the trigger based on the analysis results of the trigger ,
The system includes an information gathering means for collecting evaluation information, including evaluations, reviews, and comments, for the aforementioned information source .
The processing execution means, when executing the specific processing, determines whether at least a part of the analysis result of the trigger is related to the characteristic information, and if they are related, selects the information source based on the characteristic information, and executes the specific processing using the information obtained from the selected information source.
When the processing execution means selects the information source based on the characteristic information, it selects the information source taking into consideration the evaluation information.
An information processing system characterized by the following: In the information processing system described in claim 1 ,
The aforementioned information sources include websites,
The information generation means generates the characteristic information of the website based on the tags obtained from the website.
An information processing system characterized by the following: In the information processing system according to claim 1 or 2,
The aforementioned information sources include application software,
The information generation means generates the characteristic information of the application software based on the information collected by the application software.
An information processing system characterized by the following: An information processing method that uses an AI agent and multiple information sources,
The aforementioned AI agent,
An information generation step of generating characteristic information that represents the purpose or function of the information source based on information collected from the information source, and storing the characteristic information in a storage means in association with the information source;
A trigger analysis step that analyzes the given trigger,
A processing execution step in which a specific process is performed for the trigger based on the analysis results of the trigger ,
The information gathering step involves collecting evaluation information, including ratings, reviews, and comments, for the aforementioned information source.
The processing execution step, when executing the specific processing, determines whether at least a part of the analysis results of the triggering event is related to the characteristic information, and if both are related, selects the information source based on the characteristic information, and executes the specific processing using the information obtained from the selected information source.
The processing execution step, when selecting the information source based on the characteristic information, selects the information source taking into consideration the evaluation information.
An information processing method characterized by the following: A program for an information processing system comprising an AI agent and multiple information sources,
The aforementioned AI agent, which is a computer,
Information generation means that generates characteristic information representing the purpose or function of the information source based on information collected from the information source, and stores the characteristic information in a storage means in association with the information source;
A trigger analysis means for analyzing a given trigger,
A processing execution means that executes a specific process for the trigger based on the analysis results of the trigger ,
It functions as an information gathering means for collecting evaluation information, including evaluations, reviews, and comments, regarding the aforementioned information source.
The processing execution means, when executing the specific processing, determines whether at least a part of the analysis result of the trigger is related to the characteristic information, and if they are related, selects the information source based on the characteristic information, and executes the specific processing using the information obtained from the selected information source.
When the processing execution means selects the information source based on the characteristic information, it selects the information source taking into consideration the evaluation information.
An information processing program characterized by the following features.