A Holistic AI-Based Infrastructure Solution for Managing Mission Criticality and Capability Level Differences in Communication Between Hybrid Agent Swarms at the Edge

Abstract

The invention provides dynamic and rapid service and communication requirements for hybrid agent swarms equipped with artificial intelligence and multimodal communication capabilities, taking into account mission criticality and capability levels. It coordinates edge processing units, considering their locations, movement, and behavioral history, and implements necessary updates and configurations according to changing needs. It proactively identifies and predicts potential new needs through the integration of innovative technologies not found in existing solutions, and considers the intelligence levels of the agents. Furthermore, it enables hybrid agent swarms—including humanoid robots, autonomous vehicles, drones, and smart vehicle swarms—with varying capability levels to communicate both amongst themselves and with other types of smart vehicles.This relates to an infrastructure solution that ensures the requirements for managing intelligent agents, expected to rapidly increase in number and use at the edge, capable of communicating amongst themselves and with other swarms, to accomplish tasks together, taking into account their different capabilities and mission criticality, in the most effective and adaptive way.

Description

1 TARIFF Mission Criticality and Capability Levels in Communication Between Hybrid Agent Swarms at the Edge A Holistic AI-Based Infrastructure Solution for Managing Diversity Technical Area The invention incorporates artificial intelligence and multimodule systems, taking into account mission criticality and capability levels. Edge processing in the communication and management of hybrid agent swarms with communication capabilities. Coordination of units taking into account the locations, movement and behavioral histories of agents 10 By taking advantage of the dynamic and adaptive nature of agent swarms, rapid service, communication, and co-operation into a single system. It relates to the infrastructure solution that provides the requirements for them to accomplish the task. State of the Art The communication technologies used today have shortcomings and limitations in many respects. The limitations of the artificial intelligence features and application areas they contain, The lack of processing units that provide fast processing and analysis at the edge, and the backup capabilities of the infrastructure. and relying on centralized server or cloud environments for analysis processes, humanoid Communication between swarm structures equipped with artificial intelligence features, such as robots, autonomous vehicles, and drones. Their inability to be integrated is one of the issues. At the same time, they have different skill levels. They can communicate in swarms, both among themselves and with other types of intelligent vehicles. The mission-criticality and competence required in the management of these agents who can establish such connections. hybrid, innovative and adaptive management, taking into account the differences in levels There is a lack of infrastructure solutions. Significant shortcomings in existing solutions include artificial intelligence (AI). Different innovative technologies planned for inclusion in the management of intelligent agent swarms could be drones. swarms, satellite swarms, flying intervention vehicles, humanoid robots, information verification and security They do not include technologies such as modules or a holistic approach that addresses new needs. Another factor is that they do not provide it as part of the infrastructure. In conclusion, due to the negative aspects described above and the current solutions being the subject of discussion... Due to its shortcomings, it has become necessary to make improvements in the relevant technical field. 35 2 Purpose of the Invention The invention was created by drawing inspiration from existing situations and overcoming the aforementioned drawbacks. It aims to solve the problem. The main goal of the invention is to integrate artificial intelligence and multi-tasking, taking into account mission criticality and capability levels. Edge communication and management of hybrid agent swarms with modular communication capabilities. Coordination of processing units, taking into account their locations, movement and behavioral histories by adapting to changing service and communication requirements in a dynamic and rapid manner. The goal is to implement necessary updates and configurations according to needs. 10 Another aim of the invention is the integration of innovative technologies that are not included in existing solutions. updates, configurations, and potential new requirements according to changing needs. The goal is to proactively detect and predict. Another aim of the invention is to create hybrid agent swarms, taking into account the intelligence levels of the agents. Humanoid robots, autonomous vehicles, drones, and smart devices are expected to communicate with each other at the edge. Like swarms of vehicles, agents with varying skill levels can work together in swarms, both individually and collectively. The goal is to enable them to communicate both within themselves and with other types of smart devices; the number of devices at the edge and Their use is expected to increase rapidly; they communicate within themselves and with other packs. The ability of intelligent agents to work together and accomplish tasks, despite their diverse capabilities and roles requirements for managing them in the most effective and adaptive way, taking into account their criticality The aim is to ensure that it is provided. To achieve the objectives described above, invention, task criticality and capability are required. 25 hybrid agent with artificial intelligence and multimodular communication capabilities, taking into account their levels Coordination of edge processing units in the communication and management of swarms. providing dynamic and rapid service by taking into account their location, movement and behavioral history. and provides communication requirements, updating as needed according to changing needs. 30 innovative technologies that implement configurations not included in existing solutions with integration, necessary updates, configurations and potential changes according to evolving needs. the intelligence levels of agents who proactively identify and anticipate new needs Taking this into consideration, hybrid agent swarms are expected to communicate with each other at the edge, like humanoids. robots, autonomous vehicles, drones, smart vehicle swarms, etc., have different levels of capability. The agents, which can be in swarms, can communicate both among themselves and with other types of intelligent devices. 35 swarms that enable them to establish themselves, and whose numbers and use are expected to increase rapidly at the edge. 3 intelligent agents capable of communicating among themselves and with other swarms perform tasks together. to be able to implement it, taking into account different competencies and task criticality, in the most effective and adaptive way. It is an infrastructure solution that ensures the requirements for their management are met, and its feature is; Hybrid Agent Swarms play a central role in the communication and management of hybrid agent swarms. their locations, movement and behavioral histories, the criticality of their tasks, and their skill levels. 5 in addition to providing service and communication requirements dynamically and quickly, taking them into account also responsible for implementing necessary updates and configurations according to changing needs. It quickly processes the information needed for real-time transactions and analyses and keeps a copy of it. while retaining general / big data, it is transferred to server or cloud environments for processing. Hybrid Agent Swarms, used for both rapid communication and decision implementation, are located in area 10. stations and server or cloud environment and direct communication with edge service users. edge processing units, Humanoid robots, autonomous vehicles, and drones are expected to communicate with each other at the edge. intelligent vehicle swarms, which can have different capability levels, working together as a swarm They can communicate with each other as well as with other types of smart vehicles, and have 15 mission criticality and capability features. Edge Processing Units should have different key characteristics when necessary. Hybrid agent swarms that perform necessary updates in coordination, The criticality of Hybrid Agent Swarms' missions in relation to large areas and the requirements they must have Obtaining information on situations that may affect skill levels, across a wide range of fields. Receiving communication data and transmitting it to satellite swarms, especially for communication sustainability and Hybrid Agent 20 Their ability to adapt to changing circumstances or to future situations High-altitude drones play a crucial role in providing data for predicting weather changes. herds, They obtained this information through their own observations or from high-altitude drone swarms covering large areas. The criticality of the missions of Hybrid Agent Swarms and the required skills are 25. Communication sustainability and emergency for large areas, conveying information that can affect levels. meeting communication needs while also transmitting necessary information to ground stations satellite swarms, Directing the information they receive from satellite swarms to edge processing units for processing. ground stations, 30 Receiving information transferred from Edge Processing Units and converting internal / external data into the appropriate format. central server or cloud environment that transmits to their bases, The mission-criticality of Hybrid Agent Swarms from server or cloud environments and information that may affect the required skill levels, additional information that may be needed Databases that record information along with data, 35 4 Task criticality and the need for edge hybrid agent swarms retrieved from databases. additional information that may be needed to provide solutions regarding the required skill levels expert artificial intelligence will be responsible for providing the most suitable solution according to the analysis results. artificial intelligence that identifies the agent(s) and gathers information about the relevant region to generate solutions. AI agent that directs / coordinates its agents, 5 With the knowledge they gained related to their areas of expertise, they understood the criticality of the tasks of Hybrid Agent Swarms at the edge. and to provide solutions regarding the required skill levels within the scope of their responsibilities, they create the most appropriate action, solution proposals and needs information. expert artificial intelligence agents, The mission criticality of edge hybrid agent swarms generated by expert artificial intelligence agents is 10. and by processing solutions and needs information regarding the required skill levels Information on necessary decisions and solutions can be accessed through the Information Verification and Security Module. After verification, you can access the Solution viewing and management screens and / or directly at the Terminal. (Edge) Processing Units, and any changes required by the solutions, if necessary. 15 to carry out Flying Intervention Vehicles, Humanoid Robots, Support Personnel artificial intelligence agent responsible for final decision-making and implementation processes, The tasks of hybrid agent swarms at the edge, generated by the AI ​​agent that makes the final decision. Solutions regarding its criticality and the required skill levels are presented in terms of content, technology, and... Evaluating existing services and compatibility, in case of non-compliance A suitable solution will be determined again, taking into account the latest information in the database via the cloud / server. 20 Information verification and security module that enables the generation and security verification, By the artificial intelligence agent responsible for the final decision-making and implementation processes. The criticality of the tasks of Hybrid Agent Swarms produced at the end and the capabilities they must possess. Aerial intervention vehicles that enable monitoring of solutions and decisions related to levels of disruption. Humanoid robots allow support personnel to perform necessary interventions. providing guidance and information to (edge) processing units regarding current status requirements. Solution viewing and management screens that provide information, According to the information they obtained, the critical role of Hybrid Agent Swarms at the edge and their necessity flying that fulfills the requirements to provide solutions regarding the necessary skill levels intervention vehicles, humanoid robots and support personnel 30 It includes. Figures that will help understand the invention. Figure 1 shows the general architecture of the system that is the subject of the invention. 35 Explanation of Part References 1. Edge Transaction Units 2. Hybrid Agent Swarms 3. High-Altitude Drone Swarms 4. Satellite Swarms 5 5. Ground Station 6. Centralized Server or Cloud Environment 7. Databases 8. Guiding / Coordinating Artificial Intelligence Agent 9. Expert Artificial Intelligence Agents 10 10. The artificial intelligence agent responsible for final decision-making and implementation processes. 11. Information Verification and Security Module 12. Solution viewing and management screens 13. Flying Intervention Vehicles, Humanoid Robots, Support Personnel Detailed Description of the Invention In this detailed explanation, the preferred configurations of the invention are not merely for better understanding the subject. This is intended to facilitate understanding and will not impose any limiting effects. The invention has mission criticality. and 20 with artificial intelligence and multimodule communication capabilities, taking into account their skill levels. Coordination of edge processing units in the communication and management of hybrid agent swarms. providing dynamic and rapid service by taking into account their location, movement and behavioral history. and provides communication requirements, updating as needed according to changing needs. implementing configurations, not included in existing solutions, innovative technologies with integration, necessary updates, configurations and potential 25 according to changing needs. the intelligence levels of agents who proactively identify and anticipate new needs Taking this into consideration, hybrid agent swarms are expected to communicate with each other at the edge, like humanoids. robots, autonomous vehicles, drones, smart vehicle swarms, etc., have different levels of capability. These agents can communicate in swarms, both amongst themselves and with other types of intelligent devices. 30 in swarms, which enable them to establish themselves and are expected to rapidly increase in number and use at the edge. intelligent agents capable of communicating among themselves and with other swarms perform tasks together. to be able to implement it, taking into account different competencies and task criticality, in the most effective and adaptive way. It relates to the infrastructure solution that ensures the requirements for their management are met. The elements and functions used in the infrastructure solution that is the subject of the invention are as follows: Infrastructure 35 The elements and functions used in the solution are as follows: 6 Edge Processing Units (1) are central to the communication and management of Hybrid Agent Swarms (2). They are in the role of Edge Processing Units (1), positions, movement and Hybrid Agent Swarms (2). dynamic, taking into account their behavioral histories, the criticality of their tasks, and their skill levels. In addition to quickly providing service and communication requirements, it also caters to changing needs. These units are also responsible for implementing the necessary updates and configurations. These 5 The units quickly process the information needed for real-time operations and analysis and create a copy. While they keep the data on their own systems, they send general / big data to a server or cloud for processing. They transfer them to their environments (6). Edge Processing Units (1) enable both fast communication and decisions. Hybrid Agent Swarms (2), Ground Stations (5) and Server or Cloud for implementation They are in direct communication with the environment (6) and the end service recipients. 10 Hybrid Agent Swarms (2), humanoid robots expected to communicate with each other at the edge, autonomous These vehicles correspond to swarms of agents, which include intelligent vehicle swarms such as drones. Agents can have different skill levels and work in swarms, both internally and externally. They can also communicate with other types of intelligent vehicles. Hybrid Agent Swarms (2), task 15 Edge Operations are used when there needs to be a difference in key characteristics such as criticality and capability. They carry out the necessary updates in coordination with their Units (1). High-altitude drone swarms (3) are involved in the tasks of Hybrid Agent Swarms (2) over large areas. 20 situations that can affect its criticality and the required skill levels obtaining information and receiving communication data about wide areas into satellite swarms (4) They are transmitting information. These drone swarms are particularly important for communication sustainability and Hybrid Agent Swarms. (2) their ability to adapt to changing circumstances or future changes in circumstances They play an important role in providing data that allows for prediction. Satellite swarms (4) obtain data from their own observations or from high-altitude drone swarms (3) The criticality of the tasks of Hybrid Agent Swarms (2) belonging to the incoming large areas and having them communicating information that can affect the required skill levels, communication for large areas. It meets sustainability and urgent communication needs, while also providing the necessary information. They transmit to their stations (5). 30 Ground stations (5) are edge processing stations to process the information they receive from satellite swarms (4). They direct them to their units (1). In Central Server or Cloud environments (6), Edge Computing Units (1) 35 The transmitted information is received and forwarded to internal / external databases (7) in the appropriate format. 7 Hybrid Agent Swarms (2) from databases (7), server or cloud environments (6) Information that could affect the criticality of their tasks and the required skill levels, It is recorded along with any additional information that may be needed. Endpoint 5 retrieved from databases (7) by the guiding / coordinating artificial intelligence agent (8). The criticality of the tasks of hybrid agent swarms (2) and the skill levels required Based on the analysis results, additional information that may be needed to provide solutions related to this issue is most important. By identifying the expert artificial intelligence agent / agents (9) who will be responsible for providing the appropriate solution, the relevant Information about the region is directed to expert artificial intelligence agents (9) to produce solutions. Expert AI agents (9) use information they receive related to their expertise to create Hybrid Agents at the edge. Regarding the criticality of the tasks of their swarms (2) and the skill levels required to be possessed to provide solutions, within the scope of their responsibilities, the most appropriate action, solution proposals and They create needs information. The artificial intelligence agent (10), responsible for the final decision-making and implementation processes, is the expert. The criticality of the tasks of hybrid agent swarms (2) at the edge generated by artificial intelligence agents (9) and by processing solutions and needs information regarding the required skill levels Information on necessary decisions and solutions can be obtained through the Information Verification and Security Module (11). After verification, access the Solution viewing and management screens (12) and / or directly to End 20 (Edge) Transaction Units (1), and if necessary, the changes required by the solutions. To carry out the Flying Intervention Vehicles, Humanoid Robots, and Support Personnel (13) They transmit. The final decision is made by the AI ​​25 by the Information Verification and Security Module (11). The criticality of the tasks of hybrid agent swarms (2) produced by the agent (10) and having them the content, technical aspects and existing services of solutions related to the required skill levels Compatibility assessments are carried out, and if non-compliance is found, By taking into account the current information in the database (7) via cloud / server (6), it is appropriate again. Solutions are developed and security verification is provided. 30 Final decision-making is done via the solution viewing and management screens (12) Hybrid Agent at the end generated by the AI ​​agent (10) responsible for implementation processes Regarding the criticality of the tasks of their swarms (2) and the skill levels required Solutions and decisions are followed up. At the same time, flying intervention vehicles, humanoid robots, 35 8 Support staff (13) are given instructions to carry out the necessary interventions. and the (edge) processing units (1) are provided with information regarding the requirements of the current situation. Flying intervention vehicles, humanoid robots and support personnel (13), according to the information they acquire The criticality of the missions of Hybrid Agent Swarms (2) and the skills that must be possessed 5 They are responsible for fulfilling the requirements to provide solutions related to the levels. In the subject infrastructure solution of the invention, Edge Processing Units (1), Hybrid Agent Swarms (2) They play a central role in the communication and management of the Hybrid Agent Swarms (2), taking into account their movement and behavioral histories, the criticality of their tasks, and their skill levels, 10 dynamically and rapidly providing service and communication requirements, without adapting to changing needs. These units are responsible for implementing the necessary updates and configurations. It quickly processes the information needed for real-time transactions and analyses and keeps a copy of it. while storing general / big data, it is stored on a server or in the cloud for processing. They transfer them to their environments (6). Edge Processing Units (1) ensure both fast communication and decision-making. Hybrid Agent Swarms (2), Ground Stations (5), Server or Cloud for implementation They are in direct communication with the environment (6) and the end service recipients. Hybrid Agent Swarms (2) Humanoid robots, expected to communicate with each other at the end, which is called an autonomous system. Swarms of intelligent vehicles, such as cars and drones, can have different levels of capability and the swarm In this way, they can communicate both among themselves and with other types of smart devices. 20 Hybrid Agent Swarms (2) differ in key characteristics such as mission criticality and capability. necessary updates in coordination with Edge Processing Units (1) when needed They are carrying out. High-altitude drone swarms (3) are Hybrid Agents related to large areas. The criticality of the tasks of their swarms (2) and the skill levels required to possess obtaining information about situations that may affect and communication data related to broad areas 25 They transmit to satellite swarms (4). These drone swarms are particularly important for communication sustainability. and Hybrid Agent Swarms (2) can adapt to changing conditions or the future They play an important role in providing data that enables the prediction of changes in the situation. Satellite swarms (4) provide a wide range of information through their own observations or from high-altitude drone swarms (3). The criticality of the tasks of Hybrid Agent Swarms (2) belonging to the fields and the 30 that must be possessed Communicating information that can affect skill levels, communication across large areas. It meets sustainability and urgent communication needs, and also transmits the necessary information to ground stations. (5) transmit. Ground stations (5) receive information from satellite swarms (4) for processing. They direct to edge processing units (1). Central Server or Cloud In their environments (6), information transferred from Edge Processing Units (1) is received and appropriate 35 Data is transmitted to internal / external databases (7) in the format. Data is transmitted to the databases (7), server or cloud 9 (2) criticality of the tasks of hybrid agent swarms (6) from (cloud) environments and having Information that may affect the required skill levels, along with any additional information that may be needed. is recorded. By the guiding / coordinating artificial intelligence agent (8) from the databases (7) The criticality of the tasks of hybrid agent swarms (2) and the capabilities that must be possessed at the receiving end Additional information that may be needed to provide solutions regarding the levels is included in the analysis results. 5 expert artificial intelligence agent / agents (9) that will be responsible for providing the most suitable solution. Information about the relevant region is determined and given to expert artificial intelligence agents (9) to produce solutions. They are directed. Expert AI agents (9) use the information they receive regarding their expertise to guide them at the edge. The criticality of the tasks of hybrid agent swarms (2) and the skill levels required To provide solutions related to this, the most appropriate process, solution proposals and needs information are 10 They create the artificial intelligence agent responsible for final decision-making and implementation processes. (10), hybrid agent swarms at the edge produced by expert artificial intelligence agents (9) (2) solutions regarding the criticality of their tasks and the required skill levels By processing the needs information, Information Verification and Information provides the necessary information for decisions and solutions. After verifying via Security Module (11), view and manage Solution 15 to their screens (12) and / or directly to Edge Processing Units (1), if necessary. To implement the changes required by the solutions, Flying Intervention Vehicles, Humanoid Robots transmit the information to Support Personnel (13). Information Verification and Security Module (11) Hybrid Agent at the end produced by the final decision-making artificial intelligence agent (10) 20 regarding the criticality of the tasks of their swarms (2) and the skill levels required Evaluation of solutions in terms of content, technical aspects, existing services, and compatibility. is done and in case of incompatibility, the database (7) is done via cloud / server (6) A suitable solution will be developed again and security verification will be carried out taking into account current information. Solution viewing and management screens (12) are provided. Final decision making is done through them. Hybrid 25 at the end, produced by the AI ​​agent (10) responsible for implementation processes. The criticality of the missions of Agent Swarms (2) and the skill levels required Relevant solutions and decisions are followed. At the same time, flying intervention vehicles, humanoid robots, Support staff (13) are given instructions to carry out the necessary interventions. and the (edge) processing units (1) are provided with information regarding the requirements of the current situation. According to the information they received, flying intervention vehicles, humanoid robots, and support personnel (13) 30 The criticality of the tasks of Hybrid Agent Swarms (2) and the capabilities they must possess at the edge They are responsible for fulfilling the requirements to provide solutions related to the levels.

Claims

REQUESTS 1. Artificial intelligence and multimodule systems, taking into account mission criticality and capability levels. In the communication and management of hybrid agent swarms that possess communication capabilities, the edge. Coordination of processing units and their locations, movement and behavioral histories 5 Taking into account the need to provide services and communication dynamically and quickly, implementing necessary updates and configurations according to changing needs, existing solutions that do not include innovative technologies, adapting to changing needs Accordingly, necessary updates, configurations and potential new needs are identified and predicting proactively, taking into account the intelligence levels of the agents, 10 Hybrid agent swarms, humanoid robots expected to communicate with each other at the edge, autonomous vehicles, drones, smart vehicle swarms, etc., have different levels of capability. These agents can swarm together, both among themselves and with other types of intelligent vehicles. enabling them to communicate, and expected to rapidly increase in number and use at the edge, 15 intelligent agents that can communicate within themselves and with other swarms their ability to accomplish tasks together, taking into account their different competencies and task criticalities by ensuring that the requirements for their management are met in the most effective and adaptive way. It is an infrastructure solution that provides; its feature is; Hybrid Agents play a central role in the communication and management of hybrid agent swarms (2). The locations of their (2) swarms, their movement and behavioral history, the criticality of their tasks 20 and service and communication in a dynamic and fast manner, taking into account skill levels. In addition to meeting their requirements, necessary updates are provided according to changing needs. also responsible for implementing configurations, necessary for real-time processing and analysis. It quickly processes available information and keeps a copy on its own, while general / large information... transferring information to server or cloud environments (6) for processing, both fast 25 Hybrid Agent Swarms (2), ground stations (5) for communication and decision implementation and Server or Cloud Environment (6) and direct communication with end-users Edge processing units (1), Humanoid robots, autonomous vehicles, and drones are expected to communicate with each other at the edge. including swarms of intelligent vehicles, which can have different capability levels, in a swarm of 30 capable of communicating both amongst themselves and with other types of intelligent vehicles, mission critical. Edge Trading is used when there needs to be a difference in key characteristics such as ability. Hybrid agent that carries out the necessary updates in coordination with Units (1) herds (2), The criticality of the tasks of Hybrid Agent Swarms (2) in relation to large areas and their 35 obtaining information about situations that can affect the required skill levels, 11 By receiving communication data about wide areas and transmitting it to satellite swarms (4), especially communication sustainability and the ability of Hybrid Agent Swarms (2) to adapt to changing conditions or providing data to enable the prediction of future changes in the situation High-altitude drone swarms playing an important role (3), 5 obtained through their own observations or from high-altitude drone swarms (3) The criticality of the tasks of Hybrid Agent Swarms (2) belonging to large areas and their possession Communication for large areas, conveying information that can affect the required skill levels. meeting sustainability and urgent communication needs, while also being necessary. Satellite swarms (4) transmitting information to ground stations (5), They send the information they receive from satellite swarms (4) to the edge processing units (1) 10 for processing. directing ground stations (5), Receiving information transferred from Edge Processing Units (1) and in the appropriate format central server or cloud environment (6) that transmits to internal / external databases (7), Tasks of Hybrid Agent Swarms (2) from server or cloud environments (6) information that can affect its criticality and the required skill levels, 15 databases that record additional information that may be needed (7), The criticality of the tasks of hybrid agent swarms (2) taken from databases (7) and necessary to provide solutions regarding the required skill levels The task is to provide the most suitable solution based on the analysis results of any additional information that may be available. Identifying the expert artificial intelligence agent / agents (9) and the relevant region information 20 directing expert artificial intelligence agents (9) to produce solutions directing / coordinating artificial intelligence agent (8), With the information they received regarding their own expertise, Hybrid Agent Swarms (2) at the edge Solutions regarding the criticality of their tasks and the required skill levels. to provide the most appropriate action, solution proposals and 25 within the scope of their own responsibilities. Expert AI agents that generate needs information (9), Hybrid agent swarms at the edge (2) generated by expert artificial intelligence agents (9) Solutions regarding the criticality of their tasks and the required skill levels. Information Verification processes needs information and provides insights into necessary decisions and solutions. After verifying via the Security Module (11), view the Solution and 30 to the management screens (12) and / or directly to the Edge Processing Units (1), Uçan will also make the necessary changes to the solutions if needed. Intervention Vehicles, Humanoid Robots, Support Personnel (13) transmitting the final AI agent responsible for decision making and implementation processes (10), The hybrid agent swarms at the edge produced by the final decision-making artificial intelligence agent (10) are 35 (2) regarding the criticality of their tasks and the required skill levels 12 evaluating solutions in terms of content, technical aspects, available services, and compatibility, In case of incompatibility, the current (7) database (6) via cloud / server The appropriate solution will be developed again based on the information received, and security verification will be carried out. Information verification and security module (11), AI agent responsible for final decision making and implementation processes (10) 5 The criticality of the tasks of Hybrid Agent Swarms (2) produced by the end and their possession monitoring solutions and decisions regarding the required skill levels providing, flying intervention vehicles, humanoid robots, support personnel (13) required providing guidance for interventions and (edge) processing Solution 10 provides information to its units (1) regarding the requirements of the current situation. viewing and management screens (12), According to the information they obtained, the criticality of the tasks of Hybrid Agent Swarms (2) at the edge and to provide solutions regarding the required skill levels Flying intervention vehicles, humanoid robots, and support systems that fulfill the requirements personnel (13) 15 It includes.

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