4 results about "Functional role" patented technology

Baseline data characterizing actions of one or more computing resources associated with one or more entities is received. One or more functional roles performed by the one or more computing resources are identified using a machine learning model, wherein the baseline data is provided as input to the machine learning model. A security-related control to be applied to the one or more computing resources is identified based on the one or more functional roles. The security-related control is applied to the one or more computing resources.

This application provides a method for processing roles in a governance system, relating to the fields of big data and distributed technologies. The method includes: acquiring q processes in the system; taking each node in the processes as a function, extracting non-repeating functions from the q processes to form a function set; traversing at least a portion of the functions in the function set, wherein, taking the traversed functions as target functions, determining p target processes from the q processes that use the target functions; acquiring roles executing the target functions from the p target processes in the system to form a first functional role supply and demand relationship set; when the first functional role supply and demand relationship set contains multiple roles satisfying a first similarity condition, forming a first suspected near-synonymous role set from the multiple roles satisfying the first similarity condition; and outputting the first suspected near-synonymous role set. This application also provides a processing apparatus, device, storage medium, and program product for roles in a governance system.

The invention discloses an agent system generation method and device, equipment, a storage medium and a product, relates to the technical field of artificial intelligence, and discloses a method for extracting a to-be-completed target task from an agent system generation instruction in response to the agent system generation instruction; performing semantic analysis on the target task through a large language model to determine a plurality of functional roles required for cooperatively completing the target task; acquiring role agents matched with the functional roles respectively; and forming an intelligent agent system by the obtained multiple role intelligent agents, wherein the intelligent agent system is used for collaboratively completing the target task. According to the method, the flexibility and efficiency of intelligent agent system construction can be improved, and cooperative execution requirements of different types of tasks can be quickly met.

The invention discloses a method for evaluating prejudice of a multi-agent system, and the method comprises the steps: defining different occupational roles and different functional roles, each occupational role having professional knowledge in different fields, and each functional role providing functions of clear judgment, detailed analysis, reflection reasoning and comprehensive summarization; adopting a large language model to combine the different occupational roles and / or the different functional roles to form multi-agent systems with different topological structures; the method comprises the following steps: constructing a plurality of scenes including different ages, different genders and different races, inputting prompts of the plurality of scenes into different multi-agent systems, and providing replies to the prompts by agents of each layer of the multi-agent systems and sequentially transmitting the replies to agents of the next layer; and calculating the Gini coefficient, variance and entropy of each layer of the agent system to evaluate the prejudice of the multi-agent system.