86 results about "Problem resolution" patented technology

The invention discloses a rich text multi-dimensional difference analysis and accurate revision method and system based on AI, and relates to the technical field of artificial intelligence and data analys.The rich text multi-dimensional difference analysis and accurate revision method comprises the steps that firstly, a rich text file is analyzed, a document structure is reconstructed, vectorization and key information labeling are conducted on semantic blocks, and structuralization and semantic enhancement of a text are achieved; the method comprises the following steps of: firstly, carrying out text surface layer, semantic deep layer and structure association dimension difference analysis in parallel, then carrying out system knowledge graph-based revision influence degree evaluation on the basis of difference analysis, tracing associated terms through penetrating analysis, calculating an influence degree score and early warning potential conflicts, and automatically generating accurate revision suggestions; visual difference preview and one-key generation of a revised draft are provided, a closed loop from problem discovery to problem solving is realized, and the efficiency and accuracy of system revision are greatly improved.

An ideation platform device and method using a diagram are disclosed. An ideation platform device using a diagram, according to one embodiment of the present invention, can comprise: a C-K canvas module for providing a C-K canvas divided into a concept space and a knowledge space and connecting a concept and knowledge to each other on the C-K canvas through a chaining process so as to help a solution search for resolving a problem; and an instance management module for storing and managing, as one instance, the C-K canvas, for which a solution search is completed, including the concept, the knowledge, and information about an interconnection relationship.

The invention provides a time sequence decomposition relaxation cutting method for a security constraint unit commitment problem, and relates to the field of data processing. In the method, a full-scheduling time domain is divided into a fixed window, an integer window, a relaxation window and a neglect window through a dynamic sliding time window, and a unit commitment problem is solved in stages. Firstly, sub-problems are established in an integer and a relaxation window, results are gradually solidified, a global safety feasible solution is obtained in combination with full-scene safety detection and a cut plane dynamic adding mechanism, then decision variables are released in an optimization window with the solution as an anchor point for local optimization, rolling optimization is carried out along a time axis to continuously reduce scheduling cost and improve safety margin, and finally, scheduling is completed. And finally, outputting an optimized full-time-domain scheduling scheme. By implementing the technical scheme provided by the invention, the timeliness of solving the SCUC problem by the server is improved.

The present disclosure relates to a technique for addressing an issue to be resolved associated with an electronic document. The method discloses accessing an actionable portion associated with a particular knowledge domain of the electronic document and associated context. Further, retrieve data from data sources to provide additional information related to the particular knowledge domain and the associated context. Then structuring the retrieved data to produce a subset of organized data and determine the issue to be resolved related to the electronic document. Further, generate data elements associated with the issue to be resolved and map dependency relationships between data elements. Also, determine test goals associated with the issue to be resolved based on the dependency relationships. Thereafter, determine corresponding test cases associated with resolution and determines actionable test steps related to the issue to be resolved based on the corresponding test cases associated with the electronic document.

A method includes: receiving, by a computing device, an issue definition of an issue with software; generating, by the computing device and based on the issue definition, an urgency score for the issue, the urgency score representing an urgency of resolving the issue; generating, by the computing device and based on the issue definition, a complexity score for the issue, the complexity score representing a complexity of the issue; identifying, by the computing device using natural language processing and based on the urgency score and the complexity score, an assignee to address the issue, the assignee being a team member of a plurality of team members; recommending, by the computing device, to a user the assignee for assignment to address the issue; and tracking, by the computing device, progress of resolving the issue.

The invention relates to the technical field of enterprise management and artificial intelligence, discloses a management method for cooperatively solving problems based on multiple roles, and aims to improve enterprise problem processing efficiency and cooperative capability. The management method for solving the problem based on multi-role cooperation comprises the following steps: collecting and cleaning front-line work details through an employee client of a scenarized template; the AI processing module calls a fusion model of NLP semantic analysis, computer vision identification and time series data comparison, identifies problems from work details and generates a report; the role matching engine screens matched experts and pushes related information to an expert client to input a solution; after receiving the scheme, the decision-making client synchronizes a decision-making instruction to the execution main body; and the server storage module associatively stores the full-process information through the unique identifier to form a reusable corpus packet. According to the method, multi-role efficient collaboration and knowledge precipitation are realized, and a management closed loop is optimized.

Described are techniques for identifying an optimal AIOps solution for resolving issues. An alert to resolve a software development and / or information technology problem is routed to a secondary responder to handle after a primary responder failed to resolve the alert. Key performance indicators in handling the alert for both the primary and secondary responders may then determined. A determination is then made as to how the secondary responder performed in handling the alert in comparison to the primary responder based on the key performance indicators. The results of such a determination are stored as metadata. Furthermore, the matching portions of the runbooks used by the primary and secondary responders are identified and stored as metadata. The machine learning model is then trained to select the best runbook to be used by the secondary responder to handle future alerts based on the saved metadata and the metadata of the corresponding alerts.

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.

This invention relates to a multimodal large-scale model reliable reasoning method and system for medical image-assisted diagnosis, comprising: designing a multimodal thought chain data generation mechanism; using plain text thought chain data and generated multimodal thought chain data to supervise and fine-tune the large model to achieve a cold start effect; further stimulating the reasoning ability of the large model through reinforcement learning, wherein the reward function of reinforcement learning includes multi-dimensional considerations; the calculated reward function values ​​of each dimension are connected to a dynamic reward scheduling mechanism, which adaptively adjusts the weight coefficients between the reward functions to achieve a balanced optimization of the objective function with multiple reward objectives, and outputs a reliable reasoning medical diagnosis result. This invention eliminates redundant information in the answer while accurately retaining the key information needed to solve the problem, thereby ensuring the accuracy and reliability of the answer. Compared with the prior art, this invention has the advantages of high accuracy, strong robustness, excellent reliability, and high reasoning efficiency.

The application discloses a kind of based on real scene can cross software's software operation mixed interactive help method and system, including extracting electronic equipment software information, button information, generate corresponding training data;And pre-constructing using deep learning based on real scene semantic understanding can cross software's software operation mixed interactive help model, according to question information, input software operation mixed interactive help model, output each semantic analysis result's ranking score, select one or more semantic analysis results as user problem understanding result, provide interactive operation help for user, including step-by-step prompt or automatic completion button click operation.The application greatly widens the problem solving range of software operation interactive help system based on real scene semantic understanding, improves the convenience and problem solving efficiency, solves the problem that user uses general help instruction is not intuitive, enhances the good experience of user using product.

Examples described herein provide a method of knowledge authentication for artificial intelligence aided decision making. The method includes receiving knowledge from a subject expert and authenticating the knowledge based on structured decision making information. The method also includes generating an efficiency index for separate use of knowledge, wherein the efficiency index measures the order and efficiency of the decisions and methods taken to solve the problem. The method also includes storing the authenticated knowledge and an efficiency index, wherein the authenticated knowledge represents a proprietary technology that can be distributed at a deterministic level with respect to its availability. The method also includes generating a response to the user query using the authenticated knowledge and efficiency index using the trained machine learning model.

The invention discloses an LLM-based learner agent simulation learning and forgetting method and a feedback interaction framework with a teacher agent. The method mainly comprises the following steps: S1, a memory mechanism of a learner: mainly obtaining knowledge from a teacher agent through dialogue interaction and summarizing question answering experience of the learner, and storing the knowledge and the experience in a specific vector database in a two-tuple form to simulate memory so as to simulate the learning ability of the learner; s2, according to a forgetting mechanism, after a teacher message is received, a related vector database is retrieved through a vector similarity method, unforgotten memory is obtained and serves as supplement of an original message, the forgotten memory is filled into a prompt template to form a prompt, and the prompt is transmitted into a Monte Carlo Tree Of Though (MCTOT) module. The feedback evaluation is to analyze the evaluation and score of the teacher on the answer, and the score replaces the evaluation and score of the self-evaluation of the learner. Through the steps, the ability of the learner to solve the problem can be improved along with experience accumulation, and staged forgetting can be carried out to better fit the performance of the real learner.

The present application belongs to the field of abnormal root cause analysis, and relates to a system performance bottleneck detection method based on reinforcement learning. The system performance bottleneck detection method is as follows: first, extract system performance index data; second, find the first abnormal time period and abnormal dimension using threshold method; third, perform causal inference on abnormal data and further root cause analysis. The present application can effectively solve the system performance bottleneck detection problem in a high-load environment, help system administrators identify and solve problems faster, reduce the risk of system crashes, and improve the stability and reliability of the system, so that the system can respond to user requests faster and improve user satisfaction. The present application can be applied to a wider range of root cause analysis problems, effectively helping operation and maintenance personnel solve system performance bottleneck detection problems using artificial intelligence methods, and has good applicability and robustness.

The application relates to a reinforcement learning partition pre-interaction method and system, wherein the method comprises the following steps: constructing a bias measurement function for evaluating model bias of a virtual environment relative to a real environment; dividing the real environment into multiple trust intervals according to the model bias; performing parameter coarse adjustment on an intelligent agent of the reinforcement learning based on the trust intervals; in the parameter coarse adjustment stage, sampling experience data generated by interaction of the intelligent agent with the virtual environment and the real environment respectively to update network parameters of the intelligent agent; monitoring a performance index of the intelligent agent in the parameter coarse adjustment stage, and when the performance index meets a preset interaction mode switching condition, the intelligent agent enters a parameter fine adjustment stage; in the parameter fine adjustment stage, the intelligent agent completely interacts with the real environment, and parameters of the intelligent agent are adjusted to convergence, and the parameter-converged intelligent agent is used for solving a complex sequential decision problem. The application effectively adjusts parameters of the intelligent agent of the reinforcement learning, and makes the problem-solving capability of the intelligent agent more reliable.

The system according to the embodiment aims to provide appropriate advice for the problem of the person seeking advice and quickly match the person with professional assistance as needed. [Solution] A system according to an embodiment includes an analysis unit, an advice unit, and a matching unit. The analysis unit analyzes the natural language input of the client. The advice unit provides appropriate advice based on the problem analyzed by the analysis unit. The matching unit matches professional assistance when the advice provided by the advice unit is insufficient.

The invention belongs to the technical field of artificial intelligence and data management, and particularly relates to a method for discovering and generating problems through AI, which comprises the following steps: S1, receiving a natural language text of a service system as a work content, and distributing a global unique request identifier; s2, performing context analysis, standard comparative analysis and historical comparative analysis by adopting an AI problem discovery model; s3, fusing and sorting the content of the problem clue list based on the global unique request identifier, and generating a structured problem clue list; s4, querying a solution library according to clue attributes in the problem clue list, generating corresponding solution suggestions, and outputting the solution suggestions; and S5, according to metadata in the question clue list, a rule engine of the business system pushes the natural language question list and the solving suggestions to a corresponding terminal or system. The problem that problem grabbing is low in real-time performance and accuracy is solved.

Various systems and methods are presented herein regarding automatically identifying one or more entities to for assignment to resolving an issue and / or removing an entity from a group of entities assigned to resolve the issue. The issue can relate to an information technology / computer-based environment. The entities can be subject matter experts, having expertise identified to be related to the issue. A summary of the issue and activity relating to resolving the issue can be automatically generated and supplied to an entity who is being onboarded after the project is underway to resolve the issue. By implementing automated assignment / removal of entities, efficiency of the resolution is improved.

This application relates to the field of business configuration, and more specifically, to a business configuration question-and-answer service method, system, and electronic device. The method includes: acquiring a question-and-answer request packet, the request packet including at least business configuration question information and context information related to the current business configuration operation; identifying the question type based on the request packet to obtain the question type; determining an analysis strategy corresponding to the question type; analyzing the request packet based on the corresponding analysis strategy; and generating a response result for the request packet. This application enables accurate understanding and differentiated responses to business configuration questions, significantly improving the accuracy and practicality of the questions and answers, providing second-level, scenario-based guidance for business configuration operators, effectively reducing configuration error rates and accelerating problem resolution.

The invention discloses a programming practical operation assessment system and method based on computer vision, and relates to the technical field of computer vision, and the system comprises a visual environment module and a practical operation collection module. According to the method, a programming assessment environment has variable constraint conditions and a self-adaptive evaluation standard, the constraint conditions, question parameters and scoring standards can be dynamically adjusted, operation is obtained and analyzed in real time from an examinee operation interface through a computer port, and an evolution interaction graph of time sequence evolution is constructed; a dynamic network reflecting programming thinking and environment interaction is jointly formed by representing code entities, semantic operation and environment states through nodes and representing various semantic relations among the nodes through edges, the thought and strategy of examinees during problem solving can be clearly known, a complete problem solving path is extracted based on an evolution interaction graph, and the problem solving efficiency is improved. And inputting the result to a path complexity measurement and strategy effectiveness evaluation model for evaluation, and analyzing and comprehensively evaluating the step convenience degree and the solution effectiveness of the problem solving path.

We provide the system. [Solution] A system that includes means for analyzing employee information, chats, emails, and deliverables using a large-scale language model, means for comprehensively covering relationships between employees and individual areas of expertise based on the analysis results, and means for providing information to resolve questions.

The present subject matter relates to a system (100) and a method (300) for providing automated resolution to one or more anomalous events in an enterprise information technology (IT) environment. The system (100) integrates a processor (201) and a memory (202) that stores instructions to execute various tasks. The system (100) monitors activities within the enterprise IT environment, identifies one or more anomalous events, and correlates the identified anomalous events with one or more predefined resolution workflows. Each workflow includes specific operating instructions tailored to address the identified anomalies. Upon detecting an anomaly, the system (100) extracts the relevant operating instructions from the corresponding workflow and executes them to resolve the issue. Thus, the system (100) significantly reduces the mean time to resolve by automating the detection and resolution of anomalies, thereby improving operational efficiency and minimizing downtime in the enterprise IT environment.

The invention discloses a large language model dynamic recommendation method based on a domain knowledge base and tool calling. The method comprises the following steps that S1, original operation logs of a user are continuously collected; s2, performing structured analysis on the natural language description, extracting a core entity, and constructing a POI portrait formed by descriptive labels for each POI; s3, based on a behavior intention model BIM-NLP, generating and maintaining a quantitative personal preference portrait vector of the user; s4, constructing and continuously updating a dynamic heterogeneous domain knowledge graph; s5, domain knowledge enhancement fine tuning is carried out on the large language model LLM; and S6, when a natural language request of the user is received, the system executes a secondary reasoning online service process. According to the method, the dialogue reasoning ability of the large language model, the fact accuracy of the domain knowledge graph and the action ability of an external tool can be effectively integrated, and accurate and reliable dynamic personalized recommendation services capable of directly solving problems are provided for users.

We provide the system. [Solution] A means for receiving unresolved problems from multiple intelligent agents using natural language processing technology, analyzing the problems, and identifying common obstacles, A means for generating recommendations based on identified failure factors using generative artificial intelligence technology, Means for notifying relevant organizations of the recommendations, A means of instantly inputting problems via a mobile terminal and distributing solutions, A system that includes this.

An object of a system according to an embodiment is to effectively refine the skill of problem solving using generated AI.SOLUTION: A system according to an embodiment includes a task providing unit, an evaluation unit, an education resource providing unit, a task taking unit, and a promotion unit. The task providing unit provides a task using the generated AI. The evaluation unit evaluates the solution to the problem provided by the problem providing unit from the viewpoint of creativity and technical ability. The education resource providing unit provides an education resource that allows beginners to advanced users to develop skills. The problem take-in section takes in actual industrial and academic problems. The propagation promotion unit promotes the propagation and innovation of the generated AI.SELECTED DRAWING: Figure 1

An object of the system according to the embodiment is to deepen understanding by displaying related entertainment contents when a learner solves problems.SOLUTION: A system includes a problem solving part and a content display part. The problem solving unit receives an answer of the user. The content display unit displays the entertainment content related to the answer received by the question answering unit.SELECTED DRAWING: Figure 1

The invention provides a method and system for personal growth and accountability, addressing limitations of traditional therapy approaches. It teaches individuals to recognize cyclical patterns of victimhood, identify triggers, and analyze personal narratives. The method includes an Adult Circle Process for defining boundaries and acknowledging responsibility, and introduces “The Line,” a self-assessment tool for evaluating behaviors on a respect-disrespect scale. A Power Circle component encourages positive growth through recognizing positive triggers and developing empowering narratives. The invention can be implemented via digital platforms, workbooks, or guided sessions, offering concrete tools and measurable outcomes for users to foster accountability and shift focus from problem-solving to strength-building.

The invention provides a knowledge question and answer method for cross-source guidance of entity selection and knowledge assimilation, and relates to the technical field of knowledge question and answer. Firstly, subject entities are identified and selected according to questions of a user; after the subject entity set is determined, entering a retrieval stage of the knowledge graph; retrieving correlations and candidate entities in a graph database source using the selected entities; filtering the retrieved correlativity according to the question, and further screening candidate entities; the method specifically comprises the steps that in a collected relation set, a big language model LLM is guided through prompt to select and score the relation, so that a key relation beneficial to solving a problem q is found; wherein W is the number of subject entities in the current iteration; guiding document retrieval according to the filtered atlas, and guiding selection of candidate entities in the atlas according to the retrieved context; judging a termination condition and obtaining external knowledge; after external knowledge is obtained, conflicts are solved through multi-agent knowledge assimilation.

The present disclosure provides an AI-based method for identifying error cause, an apparatus, a device, and a storage medium. The method includes: responding to a user's upload operation of at least one draft paper file for at least one target question, where the draft paper file includes one or more problem-solving ideas or problem-solving steps generated by the user for the target question; acquiring at least one current user error cause generated by a trained error cause analysis model based on the at least one of the problem-solving idea or the problem-solving step; and determining an error cause analysis result of the draft paper file according to the current user error cause, and displaying the error cause analysis result on an answer page of the target question. Through the method, the accuracy of the identification of error cause can be improved.

The application discloses a method and device for pushing an event solution strategy, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, realizes multiple evaluation of the solution strategy, greatly guarantees that the solution strategy pushed to the user is the best, improves the accuracy of strategy recommendation, reduces errors, and truly solves the problem for the user. The method comprises the following steps: in response to an event solution request, determining a to-be-solved event, and acquiring a plurality of candidate solution strategies associated with the to-be-solved event; scoring each candidate solution strategy according to an expected effect value corresponding to each candidate solution strategy in the plurality of candidate solution strategies, to obtain a strategy score value corresponding to each candidate solution strategy; extracting a target solution strategy with the maximum strategy score value from the plurality of candidate solution strategies, and evaluating the feasibility by using a Monte Carlo algorithm to obtain a feasibility conclusion; and when the feasibility conclusion meets a preset condition, determining a user who initiates the event solution request and pushing the target solution strategy.

It is possible to provide an education and improvement support system that raises user awareness and encourages continued use. [Solution] The information processing system includes an awareness information collection unit that collects user awareness information, an awareness evaluation unit that analyzes and evaluates the awareness information, an extraction unit that extracts the user's problems and / or challenges, a scientific information provision unit that provides scientific information that serves as the basis for solving the problem and / or achieving the challenge, and a guidance information provision unit that provides guidance information that serves as a behavioral guide for solving the problem and / or achieving the challenge.