10 results about "Systems approaches" patented technology

The invention provides a dynamic scheduling method and system for a redundant executor based on a foreground theory and a Q learning evolutionary game method. The method comprises the following steps: constructing a strategy space, a profit structure and strategy evolution dynamics of the executor and a reward and punishment mechanism of an enhanced analyzer-regulator; according to the dynamic scheduling method, an executor simulates interaction under a tripartite game framework, iterative loop is carried out, and a strategy space of a mimicry defense system is output as a redundant executor after the loop is ended, the simulation interaction process comprises the following steps: the enhanced analyzer-regulator monitors and obtains objective income of each execution body in real time, calculates subjective perception utility of each execution body according to an income structure of the execution body, and then adjusts the subjective perception utility of the mimicry defense system according to a reward and punishment mechanism of the enhanced analyzer-regulator. And each execution body dynamically updates the strategy space of each execution body according to the adjusted subjective perception utility and strategy evolution.

The invention belongs to the technical field of bid invitation management, and discloses an intelligent bid invitation agent full-process service management method and system, and the method comprises the steps: S1, obtaining a structure semantic vector based on a building information model, and obtaining a regulation term adaptation vector based on the structure semantic vector; s2, generating a bid invitation file draft based on the structure semantic vector and the regulation clause adaptation vector; s3, generating a structured question answering response set based on the questions proposed by the bidder and the bid invitation file draft; and S4, generating an audit report based on the bid invitation file draft and the structured question answering response set. According to the method, the industrial pain points that an existing system cannot process logic linkage between design information and regulation content and cannot guarantee consistency of question answering and document content are broken through, and service system reconstruction of'structure visualization, logic controllability, language review and regulation traceability 'of a bid invitation agent process is realized; the method is a key intelligent method path for proxy function remodeling in a whole-process engineering consultation mode.

This invention provides a contract review assistance system, method, and storage medium. By constructing a four-layer architecture of "main agent - sub-agent - toolset - data resource layer," intelligent processing of contract review and related business scenarios is achieved. This architecture not only improves the flexibility and collaborative efficiency of task processing but also reduces reliance on manual intervention and error rates. Thus, it achieves an efficient, accurate, and structured review process through intelligent means, thereby improving the processing efficiency of contract review and related business scenarios. This solves the technical problem that existing contract review methods cannot fully meet the core review needs of the contract marketing and risk control domains, leading to low contract review efficiency.

The invention relates to the technical field of e-commerce, and discloses a multi-agent-driven e-commerce dispute judgment method and system, and the method comprises the steps: obtaining the multi-modal evidence of a dispute case to be judged, and initializing a review group and a corresponding social network; the reviewer agent performs structured reasoning on the dispute case through the individual judgment thinking chain to generate an individual judgment result and reason; simulating multiple rounds of discussion of the review group, wherein each reviewer agent in each round adjusts the self-decision according to the decision reason of the previous round of neighbor in the social network and the global review abstract; when the proportion of the reviewer agents supporting a certain judgment result reaches a consensus threshold value or reaches the maximum discussion round number, discussion is stopped, a final winner is determined, and the last round of global review abstract serves as a judgment reason to be output. For e-commerce dispute demands, the decision response period can be greatly shortened on the premise of ensuring decision quality, and high unification of decision efficiency and precision is ensured.

The present application relates to the technical field of optimization scheduling, and more particularly to an optimization scheduling method and system considering global-local balance responsibility risk, the method steps comprising: analyzing the unbalance mechanism of micro-scheduling balance area; quantifying the unbalanced operation risk considering grid scheduling-actual output; establishing a risk coordination control model considering global balance responsibility and an economic scheduling model; and proposing an optimization scheduling model considering global-local balance responsibility risk. The present application solves the problem that the existing risk quantification evaluation only considers a single dimension, and lacks unified modeling and scheduling decision-making from the perspective of global-local balance responsibility of the system. The present application achieves the purpose of encouraging the subject to actively assume the system imbalance and obtaining the optimal risk and benefit level.

An input means 81 receives an input of numerical information in which conditions, effects, and costs are associated with one another. An effect suppression designating means 82 receives designation of a tactic for suppressing the influence of an effect. A coefficient calculation means 83 calculates a first coefficient for a cost function representing an effect of the tactic and a second coefficient for a cost function representing a cost for the tactic by using a reduction process of reducing a value, which represents the effect corresponding to the designated tactic, among the numerical information. An object function defining means 84 defines, through combinations of the conditions and by using the first and second coefficients, an energy function, as an object function, which defines a relationship where: the greater the effect increases, the more the value decreases; and the more the cost increases, the more the value increases. An optimization process execution means 85 causes a quantum computer to execute an optimization process of transmitting the defined object function to minimize the value of the object function.

The invention discloses a dialogue planning method and system based on successful perception selection action. The method comprises the following steps: step 1, continuously obtaining a dialogue state; step 2, strategy network prediction: obtaining action prior distribution and expected accumulated rewards based on a pre-trained agent; 3, performing Monte Carlo tree search simulation; 4, recording a success signal, and correcting a Monte Carlo tree search decision; 5, calculating a successful perception score, and adjusting the weight coefficients of the successful perception score and the number of visited times along with the extension of the dialogue time; and step 6, strategy network updating is carried out by minimizing the strategy loss function. A success perception factor is introduced in an action selection process, and a system tends to select a high-value action in planning through modeling and amplification of a success signal, so that the success rate of a dialogue task is improved.

The invention relates to an electricity market subject pair collusion identification method and system based on multi-collaboration degree fusion, and the method comprises the steps: constructing a collaboration degree index system of an electricity market subject pair from the perspective of driving conditions, market behaviors and result influences for an electricity market collusion behavior pattern; power generation side-transaction sequence data and power sale side-transaction sequence data are collected, each index value in the coordination degree index system is calculated, all index values under each view angle are fused, and a coordination degree matrix of each power market subject pair under each view angle is calculated; based on a view angle dominating relation and Softmax self-adaptive weighting, the collaboration degree matrixes of all view angles are fused, and a comprehensive collaboration degree index of the electricity market subject pair is obtained; and performing collusion risk grade division on the power market subject to realize collusion identification. The method has the advantages of fully identifying the abnormal relationship between the power market subjects, realizing stable identification in a complex scene and the like.

The invention relates to the technical field of automatic modeling of a transformer substation centralized monitoring system, and provides a meta-model-based centralized control station model management method and system, and the method comprises the steps: abstracting a new meta-model for an actual physical object, and generating a model modification file based on the new meta-model and a historical meta-model; loading the model modification file, converting information of a new meta-model in the model modification file into a corresponding sql statement, and creating a corresponding new meta-model in the meta-model library; executing an effective operation on the new meta-model in the meta-model library, forming a system model based on the effective new meta-model and the historical meta-model, and setting a version of the system model; exporting a meta-model file of the system model, and releasing the system model based on the meta-model file; and upgrading the meta-model library of the historical version to the latest version based on the newly published system model and taking effect in real time. According to the method, the new meta-model can be automatically created, smooth upgrading of the old version model is realized, the working efficiency is improved, and the error probability is reduced.

The application relates to the technical field of electronic commerce and discloses a multi-agent driven e-commerce dispute adjudication method and system, which comprises the following steps: obtaining multi-modal evidence of a dispute case to be adjudicated, and initializing a review panel and a corresponding social network; individual adjudication thinking chains of the review panel members are used to perform structured reasoning on the dispute case, so that individual adjudication results and reasons are generated; multi-round discussions of the review panel are simulated, in each round, each review panel member adjusts his / her own adjudication according to the adjudication reasons of the neighbors in the last round and the global review summary in the social network; when the proportion of the review panel members supporting a certain adjudication result reaches a consensus threshold or the maximum number of discussion rounds is reached, the discussion is terminated, the final winning side is determined, and the global review summary in the last round is output as the adjudication reason; the application can greatly shorten the adjudication response cycle while ensuring the decision quality, and can ensure the high unification of the adjudication efficiency and precision.