121 results about "Action planning" patented technology

Methods, systems, and computer-readable storage media for receiving, from probes, probe data indicative of vulnerabilities of one or more devices to cybersecurity threats. The devices are connected over a network. Aggregated probe data is generated by mapping the probe data using data relationships obtained from a relational database, The data relationships define vulnerability types of cybersecurity threats. A cybersecurity compliance score of each of the one or more devices is determined using a correlation of the aggregated probe data to cybersecurity status scenarios defining consequences related to the cybersecurity threats. A cybersecurity assessment report including the compliance score of the one or more devices and an action plan preventing the consequences related to the cybersecurity threats are provided.

A machine-learned architecture for determining whether an object is relevant to a vehicle's action planning may comprise a convolutional neural network, graph neural network, and / or multi-layer perceptron that may determine a relevance score associated with an object that indicates indicating whether an object is likely to impact operation(s) of a vehicle. In some examples, the machine-learned architecture may use scene information and / or an object track to determine the relevance score.

The disclosure relates to a method of selecting a cybersecurity action plan; sending one or more questions; receiving a response to each of the one or more questions; for each question mapped to at least one risk vector rating: determining a risk score based on a weighted combination of the at least one risk vector rating and at least one weight; determining an indication of whether the question is indicative of a cybersecurity risk; and if the risk score is less than or equal to the threshold, assigning a flag to the question to indicate the question is indicative of a cybersecurity risk; and displaying an assessment report configured to show an assessment of cybersecurity risk of the affiliate.

The invention provides a cloud task scheduling method and device based on an intelligent agent, equipment and a medium, and can be applied to the technical field of complex cloud task scheduling. The cloud task scheduling method comprises the steps of obtaining task characteristics and user preferences in response to a task request; based on task characteristics and user preferences, an action plan of task scheduling is generated by utilizing an intelligent agent; according to the action plan, utilizing the intelligent agent to call each tool in sequence, and generating a task scheduling scheme, including: generating task description based on task characteristics and user preferences; collecting resource cost, resource use information and link condition information, and generating a network topological graph; predicting a task load fluctuation condition by using a time sequence prediction model; selecting a link node based on the network topological graph and the task load fluctuation condition; selecting a task scheduling method based on task types and user preferences; and generating a task scheduling scheme by using a task scheduling method based on the task description and the link nodes.

An enterprise system may include one or more devices with sensors that measure operational parameters of the devices. The enterprise system may also include a sustainability platform system that obtains a sustainability model representative of a state of operations of the enterprise based on the measured operational parameters and receives sustainability target data that includes one or more threshold limits, one or more ranges, or both for one or more sustainability parameters. The sustainability platform system may also obtain one or more action plans for adjusting respective operations of the devices based on the sustainability model and the sustainability target data, simulate a performance of the action plans over a period of time relative to the sustainability parameters, and determine whether the simulated performance of the action plans is effective.

The present disclosure relates to a computer implemented method for operating an autonomous vehicle based on sensor data representative of an area in a driving direction of and in the vicinity of the vehicle. The vehicle is equipped with a control unit adapted to determine if a plurality of detailed actions to be performed by the vehicle successfully may be used for fulfilling a desired general action plan for the vehicle. The present disclosure also relates to a corresponding control system and to a computer program product.

The embodiment of the invention provides a requirement document auditing method and device, computing equipment, a storage medium and a product. The method comprises the following steps: acquiring an auditing request for a target demand document sent by a user side, and analyzing the target demand document in a reasoning stage by using a multi-modal artificial intelligence module to determine key information corresponding to various modal data contained in the target demand document and at least one action plan involved in the target demand document; performing knowledge retrieval based on the at least one action plan in the action stage to determine reference data associated with the at least one action plan, and auditing the target demand document according to the key information and the reference data; generating an auditing report according to the auditing result; and feeding back the auditing report to the user side. According to the technical scheme provided by the embodiment of the invention, the auditing efficiency and accuracy of the demand document can be improved.

To provide a customized approach for promoting individual growth and organization success.SOLUTION: A system according to an embodiment comprises an acceptance unit, a feedback unit, a coating unit, and a monitoring unit. The acceptance unit accepts information for setting a goal. The feedback unit provides customized feedback on the basis of the information accepted by the acceptance unit. The coating unit provides coating on the basis of the feedback provided by the feedback unit. The monitoring unit monitors the progress of a user on the basis of the coating provided by the coating unit, and adjusts an action plan.SELECTED DRAWING: Figure 1

The invention discloses a multi-agent thinking link construction method and system based on reinforcement learning, and the method comprises the steps: 1, initializing agents and constructing a thinking link, and employing a multi-agent reinforcement learning framework; 2, the monitoring agent collects confrontation party information in the confrontation scene and feeds back the confrontation party information to the decision-making agent; generating a confrontation target position by the decision-making agent, analyzing a confrontation environment and the state of each agent by using a thinking chain, and generating an action plan; 3, generating an optimal confrontation path and opportunity by the confrontation agent, and executing a confrontation task; and the intelligent agent provides logistics support. According to the method, the chain thinking is introduced into the multi-agent system, and the dynamic information interaction between the agents is utilized to form an effective link, so that the dynamic adaptability and the real-time performance of the link can be effectively improved, the resource consumption of link construction can be reduced, and the decision-making efficiency and the confrontation effect can be improved in a complex and dynamic confrontation environment.

The invention discloses an agent decision-making model based on memory-learning collaboration and application thereof, and the method comprises the steps: S1, constructing an agent feature attribute module which comprises the static attribute feature and the dynamic attribute feature of each agent; s2, constructing an intelligent agent behavior set module which is used for selecting intelligent agent individual behaviors and organizing behaviors, and S3, constructing an intelligent agent behavior mode module which combines the state of the intelligent agent behavior mode module with perceived information and refers to an accumulated memory set of the intelligent agent behavior mode module, generating an action plan of the next step under the guidance of the behavior rule according to the following formula, so as to update the own state; step S4, constructing an interaction mechanism between intelligent agents, wherein the interaction mechanism comprises a memory mechanism formed by an individual memory library, a group memory library and a memory buffer pool; interaction between the intelligent agent and the environment and between the intelligent agent and other intelligent agents is established, and the intelligent agent continuously updates a learning mechanism of a decision strategy in continuous learning; a memory and learning collaborative decision-making mechanism with double functions of history and experience is introduced in the decision-making process of the intelligent agent; a cyclic feedback mechanism between decision memory and learning of the agent is established, a memory credibility evaluation mechanism is provided, the memory credibility is dynamically evaluated, self-adaptive updating of the memory is realized, and effective support is provided in the decision process, so that the modeling quality of the individual Agent is improved.

The invention discloses a multi-step task reasoning and planning method and electronic equipment, and belongs to the technical field of robot control. The method comprises the steps of obtaining target task input, and determining a first action plan based on the target task input; candidate actions are obtained, a composite scoring function is generated, the candidate actions are associated with the first action plan, and the composite scoring function is used for scoring the candidate actions; decomposing the first action plan into multi-level tasks by using a multi-level planning algorithm, calculating the total cost, and selecting an execution path with the minimum total cost as a target action plan; and calculating a state difference value, and determining whether to trigger re-planning or not based on the state difference value. According to the invention, the robot control efficiency and accuracy are improved, and the robustness is enhanced.

To provide accurate determination and support in an emergency.SOLUTION: A system comprises: means for real-time monitoring of a user's condition via a wearable device; and means for proposing advice and action plans according to the condition by generative AI.SELECTED DRAWING: Figure 1

A computing system can initially receive client data of a client of the financial health service. Using the client data, the system generates an individualized action plan and a financial health score for the client. The system further receives, in real-time, financial update data indicating changes to a financial situation of the client. In response to receiving the financial update data, the system updates the individualized action plan and the financial health score for the client. Thereafter, the system may receive a financial health request from a transaction entity with which the client transacts, and based at least in part on the financial health request, the system can transmit the updated financial health score to the computing device of the transaction entity.

An IC manufacturing system including a manufacturing tool having a non-standard communication interface and / or protocol capability, wherein a computer platform of the manufacturing tool is configured with a capture engine operable to monitor operator interactions with the manufacturing tool for facilitating an automated electronic out-of-control action plan (eOCAP) scheme in conjunction with a network-hosted server platform.

Systems, devices, and methods are provided that allow detection of episodes in analyte measurements and the prompting of a subject to self-report possible causes for the episodes and take action in response to episode detection. Correlation of possible causes with detected episodes assists patient behavior modification to reduce the occurrence of episodes. Also provided is function and structure for associating episodes with visits between the subject and a Health Care Provider (HCP) and scheduling interfaces and reports for assisting the HCP in advising numerous patients.

The invention relates to a manager, a control method, a non-transitory storage medium, and a vehicle. A manager mounted on a vehicle includes a processor. The processor is configured to receive, from a plurality of ADAS applications, a plurality of action plans and identification information of the ADAS applications. The processor is configured to coordinate the plurality of action plans, and is configured to calculate an exercise request based on a result of the coordination. The processor is configured to allocate the motion request to at least one actuator system. The processor is configured to determine a stop-hold mode of the vehicle on the basis of identification information of the ADAS application when a request relating to stop-hold of the vehicle is included in the plurality of action plans.

Agentic digital assistant methods and systems for generating a response to a user query are disclosed. A computer-implemented method includes accessing a query, obtaining an agent execution plan that identifies one or more agent actions to be executed and an order in which the one or more agent actions are to be executed, executing the agent execution plan to obtain one or more results for the one or more agent actions, and generating a response to the query using the one or more results.

There is provided an information processing apparatus and an information processing method that can provide more useful information for an action plan of an autonomous mobile body, the information processing apparatus including an action recommendation unit configured to present a recommended action recommended to an autonomous mobile body, to the autonomous mobile body that performs an action plan based on situation estimation. The action recommendation unit determines the recommended action on the basis of an action history collected from a plurality of the autonomous mobile bodies, and on the basis of a situation summary received from a target autonomous mobile body that is a target of recommendation. The information processing method includes presenting, by a processor, a recommended action recommended to an autonomous mobile body, to the autonomous mobile body that performs an action plan based on situation estimation.

Control of a facility is performed in accordance with a common action plan. Further, a plurality of controllers provided in the facility are caused to control the facility in coordination. A control coordination apparatus includes a control information generation unit and a control information transmission unit. The control information generation unit generates control data which include information for specifying a control content of the facility to be controlled by the plurality of controllers and are received by each of the controllers, from an action plan file which includes an action plan made by an action plan generation apparatus and is generated by the action plan generation apparatus. The control information transmission unit transmits the control data to each of the controllers on the basis of facility design information including information on connection with the facility.

A computer-implemented method of evaluating an improvement plan for a plant facility can include: selecting at least one plant-related operational measure, the at least one plant-related operational measure including at least one production efficiency improvement; wherein the at least one plant-related operational measure includes at least one first target value for engineering unit production; measuring at least one first actual value, the at least one first actual value including engineering unit production measurements recorded over a predetermined time period; comparing the at least one first target value to the at least one first actual value; generating an action plan to achieve the at least one first target value no later than a target date based on the at least one first actual value; determining a probability of achieving the at least one first target value from a Monte Carlo analysis of a range of possible action plan outcomes based on the at least one first actual value; and implementing the at least one operational measure according to the action plan when the probability of achieving the at least one first target value is greater than a limiting probability of success.

Provide a system. 【Solution means】 Means for collecting information from a communication terminal, Means for preprocessing the collected information, Means for predicting future performance based on the preprocessed information, Means for generating an action plan based on the prediction result, Means for providing the generated action plan to the user, Means for collecting the results from the user and optimizing the system, Means for receiving information in real time and presenting an optimal business strategy to store staff using an artificial intelligence model, A system including.

The application provides a man-machine cooperative cognitive decision space construction and on-the-spot decision method, that is, in the action planning process, on the basis of the main line action plan designed based on the static task purpose, a person estimates possible variables in action execution in advance, refines situation cognitive characteristics of key decision points, and proposes countermeasures, the system explores diversified possible action processes, analyzes and excavates key variables which have greater influence on action results, explores the best action options under the guidance of countermeasures and trains a dynamic planning intelligent agent, finally, the cognitive characteristics and countermeasure options, the planning intelligent agent are added to the main line action plan, and a cognitive-decision space is constructed; in the action execution process, the cognitive-decision space is used to guide the real-time monitoring of the change of situation characteristics and the dynamic triggering of key decision points, the online optimization of the best countermeasure and the dynamic generation of subsequent action planning.

This invention relates to the field of artificial intelligence decision-making technology, specifically to an intelligent decision-making system and method based on a large model. The system includes: receiving raw decision request streams from heterogeneous business sources; performing semantic normalization and knowledge enhancement processing on these streams to generate a structured decision query containing a core problem statement, key fact triples, and a knowledge index; invoking a large language model inference engine to generate a preliminary decision reasoning chain based on the structured query; using a predefined decision logic constraint graph to perform consistency verification and completion of the reasoning chain, generating a verified complete decision logic tree; and performing pattern matching in an executable atomic operation library based on the logic tree to map and assemble an executable decision action plan. This invention improves the understanding accuracy, reasoning reliability, and decision executability of large models in complex decision-making scenarios through structured query input and external logic verification.

A system and a maintenance process of a light source includes (a) collecting a first set of parameters of a first apparatus of the light source; (b) analyzing the first set of parameters to calculate a first score of a likelihood of a failure mode of the first apparatus; and (c) in response to the first score exceeding a first pre-determined value, (1) generating one or more first action plans for maintenance and / or replacement of the first apparatus, (2) providing a notification of the one or more first action plans, and (3) storing the first set of parameters, the first score, and the one or more first action plans in a storage medium.

A vehicle control apparatus appropriately resumes traveling after a host vehicle performs an escaping action. The vehicle control apparatus includes a candidate area determination unit that determines a passable area, which is an area where a host vehicle and an oncoming vehicle can pass each other, on a road where there is an area where the host vehicle and the oncoming vehicle cannot pass each other, an action plan determination unit that determines an action plan indicating a sequence of action steps, of the host vehicle, a trajectory generation unit generating a travel trajectory of the host vehicle in the passable area, an action plan update unit that updates the action plan based on a position of the oncoming vehicle and a travel trajectory of the host vehicle generated by the trajectory generation unit, and a travel control unit controlling travel of the host vehicle according to the action plan.

An enterprise system may include one or more devices that perform respective operations of an enterprise and a sustainability platform system. The sustainability platform system may obtain a sustainability model representative of a state of operations of the enterprise and sustainability target data of target constraints on one or more sustainability parameters of the enterprise. Additionally, the sustainability platform system may identify one or more abatement technologies from a database of multiple abatement technologies based on the sustainability model and the sustainability target data and generate a sustainability action plan for implementing at least one abatement technology of the identified abatement technologies such that the at least one abatement technology, when implemented via the sustainability action plan, is estimated to satisfy the sustainability target data. The sustainability platform system may also send commands to the devices to adjust their respective operations according to the sustainability action plan.

An object of the system according to the embodiment is to evaluate market suitability of a business idea of a user and provide a specific action plan.SOLUTION: A system includes an idea input part, a market evaluation part, a customer specification part, and a competition analysis part. The idea input unit inputs an idea of a user. A market evaluation part evaluates the market needs on the basis of the idea input by the idea input part. A customer specification part specifies a target customer layer on the basis of the market needs evaluated by the market evaluation part. The competition analysis unit analyzes a situation of a competitor based on the target customer layer specified by the customer specification unit.SELECTED DRAWING: Figure 1

To develop an action plan to support goal achievement of a user, and manage progress.SOLUTION: A system according to an embodiment comprises goal determination unit, a plan determination unit, an acquisition unit, and a feedback unit. The goal determination unit determines a user goal on the basis of interaction with the user. The plan determination unit determines an action plan for achieving the goal determined by the goal determination unit on the basis of interaction with the user. The acquisition unit acquires information indicative of the progress of the user in the action plan determined by the plan determination unit. The feedback unit provides the user with feedback on the basis of the information acquired by the acquisition unit.SELECTED DRAWING: Figure 1

A method may include receiving production data and facility data associated with an enterprise, such that the production data includes operational tasks performed in a hydrocarbon production system, and the facility data includes one or more utility operations within one or more buildings associated with the enterprise. The method may also include receiving sustainability parameter data associated with one or more operations corresponding to the enterprise based on the production data and the facility data, generating a sustainability report representative of sustainability parameters associated with the operations of the enterprise based on the sustainability parameter data, and sending the sustainability report to one or more engineering workflow systems to determine action plans associated with improving the sustainability parameters. After receiving the action plans, the method includes sending commands to cause devices to adjust their respective operations.