8 results about "Action rule" patented technology

The invention belongs to the technical field of behavior regulation mining, and particularly relates to an Apriori algorithm-based action rule mining method, which comprises the following steps of: 1, performing data cleaning on situation data, finding out available data, and classifying action rule data into conditions and actions; in the second link, the action rules of each category are called item sets, if the number of times that the various rules appear together in the item sets is larger than the minimum support degree threshold value, the item sets are integrated into frequent item sets, and the evaluation criteria of frequent item set mining comprise the support degree and the confidence degree; according to the method, for data such as situations, a frequent item set library of action class rules is constructed based on an Apriori algorithm, and mining of the action class rules is achieved through frequent item sets.

The application relates to the technical field of artificial intelligence equipment, in particular to a campus competition scoring robot based on audience emotion auxiliary judgment, which acquires competition action data of a participating object through a motion capture and posture sensing module, generates action rule confidence data based on rule matching, and introduces an audience emotion auxiliary judgment mechanism when the rule confidence is in a preset rule boundary interval; crowd emotion modeling and differential analysis are carried out on audience reaction data to obtain audience emotion difference data, and the audience emotion difference data are weighted and fused with the action rule confidence data to form a final scoring judgment result. The scheme effectively alleviates the uncertainty of judgment of rule boundary actions, improves the fairness, rationality and consistency of the scoring result, reduces the risk of controversial judgment, and enhances the intellectualization and credibility of the campus competition scoring system under the premise of maintaining the dominant position of the competition rules.

The invention discloses an AI native ERP enterprise management software system and a management method, the system comprises an AI management consultant module, a management rule knowledge base module, a data processing module, a risk identification module, an action generation module and an execution driving module, and the AI native ERP enterprise management software system and the management method cooperatively realize data acquisition, index analysis, risk identification, action suggestion and execution landing. The data processing module is used for disassembling multi-dimensional management indexes based on a PVM price sales volume mixed analysis model; the risk identification module retrieves and matches a risk rule through an LLM model or an RAG vector to generate a structured risk item; the action generation module matches the action rules and outputs action suggestions; the execution driving module is associated with the to-do rule to generate business to-do; and the AI management consultant module undertakes the demand and the task. The management theory and practical experience are converted into configurable rules, full-link driving of AI on enterprise management is achieved, the management efficiency and decision scientificity are improved, and personalized requirements of enterprises of different industries and scales are met.

The problem is to achieve work efficiency and ensure safety of actions of control objects in different control systems, i.e., in an environment where heterogeneous systems are mixed. A safety control server (5) for controlling actions of control objects in heterogeneous systems under a plurality of control systems has an action adjustment section (5330) for outputting an action adjustment instruction for adjusting actions to a control object in a control system different from the control object, in the case where a conflict occurs in which the action of the control object deviates from an intended control result, an action plan adjustment section (5320) for adjusting a pre-stored action plan indicating an action rule for avoiding a conflict of the control object and for functioning, in the case where the adjustment of the action satisfies a prescribed condition, and a safety rule adjustment section (5310) for adjusting a pre-stored safety rule indicating an action rule for avoiding a conflict of the control object, in the case where the adjustment of the action plan satisfies a prescribed condition.

Systems and methods for validations related to software are provided. In some embodiments, a method for building software with software action logging includes accessing a target object type. In some embodiments, the target object type includes one or more object properties. In some embodiments, the method further includes accessing an action type. In some embodiments, the action type includes one or more action parameters and is associated with one or more action rules. In some embodiments, the action type is associated with editing a target object of the target object type. In some embodiments, the method further includes generating an action log type that includes at least one of the one or more object properties and at least one of the one or more action parameters. In some embodiments, the action log type further includes an action context associated with an action of the action type.

A network node can be configured with a packet detection rule (PDR). The PDR can allow the network node to identify one or more extended reality (XR) flows. The network node can be configured with a forwarding action rule (FAR). The FAR can include information about how the one or more XR flows should be routed. The network node can invoke a user plane function (UPF). The UPF can be configured using information from the PDR and / or the FAR. The network node can establish a protocol data unit (PDU) session. The network node can identify one or more XR flows indicated in the PDU session based at least on its configured PDR. The network node can forward the one or more XR flows according to the information in the FAR.

The invention belongs to the technical field of computers, and particularly relates to an intelligent decision-making method and device, equipment and a medium, and the method comprises the steps: responding to request information outputted by a user, and determining a reasoning result corresponding to the request information through a large language model; the reasoning result is sent to an action analysis module, a corresponding action instruction output by the action analysis module is received, and the action instruction is determined by the action analysis module based on a preset action rule set and the reasoning result; according to the action instruction, calling a corresponding target tool to execute the action instruction, and obtaining an execution result returned by the target tool; based on historical output information, a final decision result corresponding to the request information is determined through a large language model, the final decision result is output to the user, and the historical output information comprises the request information, the reasoning result, the action instruction and the execution result. According to the method, the execution reliability of the system is improved, the security management and control capability of the system is enhanced, and the maintainability and iteration efficiency of the system are improved at the same time.

The invention provides an action execution result summarization method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: in response to a situation that a scene rule is triggered, determining an asynchronous action rule contained in the scene rule; writing timing messages corresponding to the asynchronous action rules into a first message queue; sending a calling instruction to the corresponding asynchronous equipment according to each asynchronous action rule; writing a calling result message returned by the asynchronous equipment into a second message queue; performing message consumption on the timing message in the first message queue and the calling result message in the second message queue, and determining an execution result of each asynchronous action rule; and summarizing scene execution results according to the execution results of the asynchronous action rules. According to the method, a reliable and efficient mode with overtime management can be provided to obtain the execution result of the asynchronous action rule, and the reliability and stability of result summarization are enhanced.