77 results about "Management agent" patented technology

The invention provides a network fault repairing system and method based on large language model multi-agent collaboration, and the system comprises a multi-agent collaboration module which comprises a management agent and a plurality of execution agents which are in communication connection with the management agent, the management agent and each execution agent are respectively provided with a large language model; each execution agent comprises a detection agent, an analysis agent, a diagnosis agent, a processing agent and a verification agent; and the processing agent comprises a congestion processing agent and an interruption processing agent. According to the invention, intelligent and automatic closed-loop processing of the network fault from sensing to repairing can be realized through a multi-agent collaborative architecture.

This disclosure describes a large language model (LLM)-based agent operating system comprising an application layer, a kernel layer, and a hardware layer. The kernel layer comprises an AIOS kernel comprising: LLM core(s), an agent scheduler, a context manager, a memory manager, a storage manager, and a system call interface configured to manage interactions among the agent scheduler, the context manager, the memory manager, and the storage manager.

Systems and methods for securely deploying a collective workspace across multiple local management agents are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, at a workspace orchestration service from a first local management agent, first context information and a first split key; receive, at the workspace orchestration service from a second local management agent, second context information and a second split key; determining, by the workspace orchestration service, that the first and second context information match a collaborative workspace policy; in response to the determination, authenticate the first and second split keys; and in response to the authentication, transmit a collaborative workspace definition to the first and second local management agents.

Implementations for chiplet fault management through hierarchical error reporting and coordinated recovery in an accelerator interconnect. In some implementations, a system for a UALink-based network comprises a chiplet die coupled to an accelerator die, a management agent on the accelerator die, and a centralized controller. Upon fault detection, the chiplet die transmits a fault notification to the accelerator die, the management agent reports the fault to the centralized controller, and the centralized controller determines a recovery action based on the fault identifier and severity. In some implementations, the accelerator die reports the fault through dual paths, to a host processor via CXL or PCIe error reporting and to the centralized controller via the management agent, and the host processor and the centralized controller coordinate recovery, with the host managing workload-level recovery and the centralized controller managing network-level recovery.

Systems and methods for providing trusted local orchestration of workspaces are described. In some embodiments, an information handling system (IHS) can include: a processor; and a system memory coupled to the processor, the system memory having program instructions stored thereon that, when executed, cause the IHS to: receive, from a workspace orchestration service, orchestration code; use a trusted controller coupled to the processor to record a log, the log including: the orchestration code, and an indication of a sequence of operations performed by a local management agent during instantiation of a workspace; provide, to the workspace orchestration service, a copy of the log; and in response to the workspace orchestration service successfully: (i) authenticating the orchestration code, and (ii) verifying the sequence of operations, establish a connection between the workspace and the workspace orchestration service.

This invention relates to a multi-agent collaborative management method and system for water data governance, belonging to the field of water data governance technology. It includes: constructing a data asset management agent, a quality diagnosis agent, and a conversational analysis agent, and setting a standardized decision-making process; building a structured message queue; when water demand processing data is received, the data asset management agent analyzes the water demand processing data to generate water management data and sends it to the message queue; when the quality diagnosis agent listens for water management data in the message queue, it retrieves the water management data, analyzes it, generates governance strategy instructions, and sends them to the message queue; combining the conversational analysis agent and the governance strategy instructions, it determines governance adjustment instructions and executes the governance adjustment instructions. This invention improves the overall efficiency of water data governance and shortens the average problem resolution cycle.

The invention discloses a recommendation method, device and system, and belongs to the technical field of artificial intelligence. The method is applied to a recommendation system comprising a management agent and at least one execution type agent, the method is executed by the management agent, and the method comprises the steps of obtaining a recommendation task; determining at least one subtask of the recommended task; calling an execution type intelligent agent used for executing the at least one subtask in at least one execution type intelligent agent included in the recommendation system to execute the at least one subtask so as to obtain a task result of the at least one subtask; and determining a recommendation result for the recommendation task according to the task demand of the recommendation task and the task result of the at least one subtask. According to the method, the recommendation task is cooperatively processed by using multiple intelligent agents with different capabilities, so that the recommendation accuracy and efficiency are improved.

Implementations for management resilience with route persistence and state reconciliation in an accelerator interconnect network. In some implementations, a system comprises accelerators coupled to switches via protocol-level interface links, the switches storing forwarding entries in hardware, each forwarding entry mapping a destination accelerator identifier to an egress port. A centralized controller generates and distributes the forwarding entries via management agents. The forwarding entries persist in the switches independently of the centralized controller, and when the controller fails, the switches continue routing transactions and executing workloads continue. In some implementations, upon recovery, the centralized controller re-establishes connections to management agents, re-gathers identity, configuration, and operational state, identifies discrepancies between intended and actual configuration, pushes corrections, and recalculates forwarding entries. The reconciliation may use differential comparison with cached pre-failure state and may prioritize data plane correctness.

Provided is an information processing system for an autonomous system, the information processing system obtaining observation sensor data in the autonomous system and a target of the autonomous system, and including: an agent management unit that stores and manages an agent group; an attention unit configured to select an agent from the agent group based on the target; and an agent cooperation unit configured to generate a new agent in which inputs and outputs of selected agents are integrated and to train a generative model of the new agent based on the observation sensor data.

Embodiments of the present application provide a power system network security protection method and device based on multiple agents. The method comprises: when a detection agent detects a real-time network attack, obtaining attack event information reported by the detection agent; issuing the attack event information to a tracing agent to trigger the tracing agent to obtain a target tracing investigation model from a beacon management agent; controlling the tracing agent to use the target tracing investigation model to conduct a tracing investigation on the real-time network attack to determine a target portrait corresponding to the real-time network attack; based on the target portrait, using a red teaming agent to generate at least one coping strategy; determining a target strategy in the at least one coping strategy, and using the red teaming agent to execute the target strategy. The method is used to improve the response efficiency to network attacks and ensure the safe and stable operation of the power system.

A large language model (LLM) twin system can include a user interface to receive a query from a user, a Digital Twin to simulate and verify parameters of each of a plurality of devices of a factory, and a plurality of LLM Agents including a Manager Agent for controlling and communicating with the other LLM Agents and for receiving the query, interpreting the query using one or more of the LLM Agents to update the query, sending the update query to one or more of the other LLM Agents to receive an answer to the query, receiving the answer from the one or more other LLM Agents, and sending the answer to the user through the user interface.

The application relates to a multi-agent collaborative clinical scientific research implementation method and device and computer equipment. The method comprises the following steps: in response to a user's clinical scientific research text input operation, generating demand information, obtaining a search instruction through dialogue interaction hub analysis, and obtaining a first preset number of candidate data sets through a medical data set management agent; after the user selects, a training data set is determined, a data set instruction is obtained by combining the search instruction and the training data set, a second preset number of candidate algorithms are generated by an algorithm management agent, the user selects and determines a training algorithm and generates a configuration file; based on the training algorithm and the configuration file, a third preset number of candidate algorithm power schemes are generated through an algorithm power scheduling module, the user selects and determines a training scheme and generates a training configuration file; a clinical scientific research algorithm is obtained through iterative training based on the file, an inference configuration file is generated in response to an inference text input, and finally an inference report is generated. The method can automatically implement clinical scientific research.

Method and apparatus are provided for configuring VXLAN in a distributed computing environment. The method comprises receiving, by a management agent of each node in a cluster of nodes, a configuration specification from a central management system; at each node, discovering, by the management agent of each node in the cluster of nodes, broadcast information of peer nodes in the cluster of nodes; creating, by the management agent of each node in the cluster of nodes, a state model database of the peer nodes based on the broadcast information of the peer nodes and the configuration specification; establishing a VXLAN using the state model database of the peer nodes; and updating the VXLAN dynamically in response to changes in the cluster of nodes using the state model database of the peer nodes.

The application relates to a network protocol address risk identification and processing method, device and system. The method comprises the following steps: in response to a risk identification trigger event, obtaining a target network protocol address and a multi-source data set, and forming a risk identification analysis task; driving risk identification processing of the risk identification analysis task by a management agent intelligent agent; decomposing the risk identification analysis task into multiple subtasks by a planning agent intelligent agent, and distributing each subtask to an execution agent intelligent agent by the management agent intelligent agent; obtaining subtask execution results by executing the subtasks by the execution agent intelligent agent; generating a structured research and judgment report based on the subtask execution results by a reporting agent intelligent agent; checking the structured research and judgment report by a rule engine and generating a candidate work order for blocking; and executing a blocking operation on the target network protocol address in response to a confirmation instruction of an operation and maintenance personnel. The method can realize efficient analysis and disposal of high-risk network protocol addresses.

The application discloses a disaster early warning system and method based on a large language model multi-agent, which comprises a situation awareness agent, an execution agent, a field expert agent group, a system shared state module and a tool library module, the situation awareness agent is used for monitoring data and triggering a warning workflow signal, the execution agent is used for decomposing and routing tasks, the field expert agent group comprises an emergency management agent and a plurality of expert agents in different fields, and is used for executing professional tasks in different fields and writing back task analysis results in different fields to a unified state, the situation awareness agent, the execution agent and the field expert agent group call corresponding tools in the tool library module and interact information through the system shared state module, and early warning information is automatically generated according to a preset template by the emergency management agent. The application can improve the accuracy and consistency of early warning research and judgment, and shorten the time from risk discovery to forming an executable action plan.

The invention provides a terahertz communication system OMC management proxy communication method based on an HAPS platform, and the method comprises the steps: deploying an OMC proxy system between an operation and maintenance center system and a managed device in the terahertz communication system based on the HAPS platform, and arranging an adaption module on the operation and maintenance center system, thereby achieving the communication adaption between the operation and maintenance center system and the managed device. The adaptation module sequentially executes three core processes: firstly, establishing and maintaining a management communication link with a target OMC proxy system through session connection adaptation; then, through management command adaptation, a unified format management command issued by the operation and maintenance center system is converted into a specific format command which can be identified by the target OMC proxy system, and the specific format command is issued through the link and forwarded to the managed equipment by the OMC proxy system; and finally, through state data adaptation, analyzing and converting specific format state data reported by the OMC proxy system into uniform format data in the operation and maintenance center system, and submitting the uniform format data, thereby realizing uniform communication and management of heterogeneous equipment.

The application discloses a multi-agent manufacturing process optimization method based on a multi-objective particle swarm algorithm, and comprises the following steps: for a manufacturing process of a process industry, a manufacturing process optimization model based on multi-agents is constructed, including a two-layer structure, wherein the upper layer structure is a total control agent and a pool agent used for storing algorithms and data information, and the lower layer structure is a raw material agent, a device agent, a management agent and a waste agent; each intelligent agent can interact with other agents based on a communication module of the intelligent agent; the agent is used as a particle in the multi-objective particle swarm algorithm, the agent population evolution ability is given, a corresponding data model is established for the multi-agent-based manufacturing process optimization model, the multi-objective particle swarm algorithm is used for solving, and an effective solution set is obtained. The cost after the optimization is lower than the actual cost, so the non-inferior solution set after the optimization can be used as a reference in actual production, so that the process operation manufacturing is improved in low consumption, high yield, high quality and cost reduction.

The invention relates to the technical field of artificial intelligence, in particular to a multi-agent cooperative detection method, system and equipment based on a knowledge graph, and the method comprises the steps: receiving detection task data through a preset detection sample management agent, and carrying out the semantic understanding and structural processing of the detection task data through a preset large language model, and based on the processing result, performing knowledge routing in a preset knowledge graph to identify a sample type and determine a detection process, performing a detection experiment through a preset detection sample experiment recording agent according to the detection process, and interacting with a database of the detection equipment through a multi-modal data acquisition technology to acquire and record experiment data; and calling the knowledge graph through a preset report generation agent to perform automatic comparison on the experimental data, and performing intelligent judgment under the assistance of the large language model so as to generate a detection report. In this way, the automation level, efficiency and accuracy of detection can be remarkably improved.

The invention relates to a multi-network-connected hybrid electric vehicle heat energy comprehensive management method based on federal reinforcement learning, and belongs to the field of new energy automobiles. According to the method, a hybrid electric vehicle dynamics simulation model is established, a federal reinforcement learning architecture is designed to realize privacy protection strategy sharing of local training and cloud aggregation of each vehicle, a heat energy comprehensive management model containing energy management and cabin heat management agents is deployed at a vehicle end, and global optimal performance is improved through multiple rounds of iterative training. The method solves the problems that in the prior art, data privacy potential safety hazards are large, heat management and energy management collaborative optimization is insufficient, and complex environment adaptability is poor, multi-vehicle knowledge sharing on the premise that data privacy is protected is achieved, and the whole vehicle energy consumption economy, the riding comfort and the overall system performance are remarkably improved.

Systems and methods for orchestration based on workspace component scores are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to receive, at a local management agent from a workspace orchestration service, one or more files or policies configured to enable the local management agent to instantiate a workspace based upon a workspace definition, where the workspace comprises a plurality of workspace components, where the workspace definition is created based, at least in part, upon a security target, and where an aggregated security score for the plurality of workspace components meets the security target; and instantiate the workspace.

Method and apparatus are provided for managing IP address in a distributed computing environment. The method comprises gathering, by a management agent (MA) of each node in the cluster of nodes, broadcast information of peer nodes; identifying, by the MA of each node in the cluster of nodes, one or more nodes without an overlay IP address using the broadcast information gathered about its peer nodes; electing a candidate node among the one or more nodes without an overlay IP address using the broadcast information gathered about its peer nodes; assigning, by the MA of the candidate node, a next available overlay IP address to the candidate node; and communicating, among the cluster of nodes, in accordance with the assigned overlay IP address of the candidate node.

The system according to the embodiment aims to smoothly advance business succession by utilizing AI. [Solution] A system according to an embodiment includes a collection unit, an analysis unit, a matching unit, and a management agent unit. The collection unit collects management data of a company. The analysis unit analyzes the data collected by the collection unit. The matching unit searches for a transferee based on the data analyzed by the analysis unit. The management agent unit manages the company for a limited period of time based on the transferees listed by the matching unit.

This system provides a manager server, agent management system, and agent management method that allow users to set and manage confidential information with minimal effort, while preventing the leakage of confidential information once it has been set for each agent. [Solution] In the agent management system, the manager server manages the commands executed by the agents, receives a request from the user computer 101 to issue first initial authentication information used when an agent makes its first connection to the manager server, generates the first initial authentication information, and sends it to the user computer. Each agent, using the first initial authentication target information obtained from the user computer, generates unique secret information to be used for subsequent connections when the first connection is made by the agent, and sends it to the agent.

This invention belongs to the field of airport congestion management and time slot resource allocation technology, specifically involving a method and system for assessing airport flight capacity based on congestion cost. This invention constructs an airport flight capacity assessment method based on congestion cost to achieve closed-loop linkage optimization of airport time slot capacity calculation and multi-airline demand response. Compared with existing technologies, this invention achieves rolling online updates of time slot cost signals and demand adjustments through interactive modeling of upper-layer time slot management agents and lower-layer airline response agents; it improves solution efficiency and scalability by learning multi-agent strategies in parallel under a centralized training and distributed execution framework; and it enhances the executability and stability of congestion management strategies through state interaction embedding, thereby improving airport congestion mitigation and time slot resource utilization efficiency. This provides feasible algorithmic support and application paths for real-time demand control during airport tactical operations, filling a technological gap in related fields.

A non-transitory computer readable medium stores instructions that, when executed by processing circuitry, cause the processing circuitry to receive an indication of a host device in an operational technology (OT) network, wherein the host device is communicatively coupled to a target device via the OT network, deploy an endpoint management agent to the host device, identify a driver based on the target device, wherein the driver enables the endpoint management agent to interface with the target device, transmit the driver to the host device, transmit a command to the host device, wherein the command is for the endpoint management agent to perform a task with the target device via the driver, receive, from the host device, data collected during or following performance of the task, and update a record associated with the target device based on the received data.

This application provides a software defect confirmation method and system based on code semantic feature extraction, relating to the field of software defect handling technology. The method includes: deploying an analysis agent to receive and parse input data, obtaining a high-dimensional semantic feature vector based on a semantic defect analysis module; retrieving matching historical defect cases from a long-term memory and generating a defect analysis report; deploying a repair agent to generate real-time repair solutions and retrieving historical repair solutions from the long-term memory; testing each solution sequentially, and outputting a stable repair patch if successful; and deploying a management agent to store defect handling cases in the long-term memory and automatically reviewing high-frequency defect cases to update the repair solutions. This application achieves a closed loop from defect analysis and automatic repair to proactive prevention, reducing the frequency of high-frequency defects.

Provided is a proxy existence model management device that makes it possible to easily operate a plurality of proxy existence models.　A proxy existence model management device according to the present disclosure includes: a model pool management unit that associates at least one proxy existence model and model feature information of the proxy existence model with each other and manages the same as a proxy existence model pool; an input information acquisition unit that acquires input information of a user; an input analysis unit that analyzes the input information; a model selection unit that selects at least one proxy existence model simulating a target person from the proxy existence model pool, on the basis of the analysis result of the input information and the model feature information; an information generation unit that gives the input information to the selected proxy existence model to generate information; and an output unit that outputs the information generated by the proxy existence model. Here, the proxy existence model is a model configured to simulate the behavior of a model target person with respect to a large-scale learning model.

Implementations for hierarchical telemetry collection with per-layer monitoring in an accelerator interconnect network. In some implementations, a telemetry system comprises devices with protocol-level interface ports managed by management agents. A telemetry collector connects with read-only access and the management agents support at least two subscription modes: one reporting operational state changes upon occurrence, and another reporting per-port telemetry data at a configurable sampling interval. When a device cannot push telemetry, the management agent may poll the device and report the data transparently. In some implementations, each port maintains per-layer telemetry counters comprising physical layer error correction histograms, data link layer flit counters, transaction layer credit utilization histograms, and port performance byte counters. The credit utilization histograms may include bins indicating time at different utilization levels, enabling congestion detection and health assessment. The telemetry may support cross-layer correlation and predictive maintenance.

A computer implemented method is disclosed for coordinating management of a plurality of cells in a cellular communication network, wherein each of the plurality of cells is managed by a respective Agent. The method comprises assembling a candidate set of cells, wherein each cell in the candidate set is awaiting execution of an action selected for the cell by its managing Agent. The method further comprises selecting a cell from the candidate set, adding the selected cell to an execution set of cells, and removing, from the candidate set of cells, the selected cell and all cells identified in a topology graph of the plurality of cells as fulfilling an interference condition with respect to the selected cell. The method further comprises, if a scheduling condition is fulfilled, initiating, for all cells in the execution set of cells, execution of the actions selected for the cells by their managing agents.

The present invention relates generally to distributed computing systems, and more specifically, to a computerized system and method that allows for dynamic updating of distributed hardware using reconfigurable data management agents.