ID 原文 译文
39586 在人力资源受限的情况下，针对如何在IT运维服务中使用有限的人力资源，迅速、有效地对发生的故障进行处理，建立了考虑服务水平的IT运维人员调度模型。 Aiming at resolving the faults quickly and effectively with limited human resource, an IT maintenance service model with the consideration of service level is proposed,
39587 提出了一种知识模型，设计了多种符合本问题特性的变异、交叉算子，从而形成了改进的遗传算法、基于知识模型的智能遗传算法和基于知识模型的自适应智能遗传算法。 A knowledge model is proposed, a variety of mutation operators and crossover operators are designed. and the improved genetic algorithm(IGA), the intelligent genetic algorithm based on knowledge model(KIGA) and the adaptive intelligent genetic algorithm based on knowledge model(KAIGA) are formed.
39588 结果表明，自适应变异、交叉概率能加快解的收敛速度，知识模型能加快解的收敛速度并且提高解的优化效果。 The results show that the adaptive mutation and crossover probability can accelerate the convergence speed of the solution, and the knowledge model can also improve the optimization effect of the solution.
39589 LVC训练是实战化条件下装备体系对抗训练的一种有效手段，针对LVC训练系统中，计算机生成兵力难以满足训练需求问题， LVC training system of the combat equipment under the condition of confrontation is an effective means of training, aiming at the problem that in LVC training system, computer generated forces are difficult to meet the demand of training problems.
39590 明确LVC训练与LVC训练系统概念，按照模型与系统的结构组成关系阐述了逻辑靶场实体配置、指挥实体、战斗实体3个不同层次模型相应的建模技术需求。 The concept of LVC training and LVC training system is clarified, according to the relationship between model and system structure, the corresponding modeling technology requirements of three different hierarchical models, namely logical range entity configuration, command entity and combat entity, are expounded.
39591 针对具体需求，提出基于复杂网络的逻辑靶场虚实实体配置、基于深度强化学习的分队战术决策建模、基于动态贝叶斯网、遗传神经网络的战术行为参数矫正建模4种计算机生成兵力生成技术。 According to the specific requirements, four computer-generated force generation methods are proposed, namely, logical target range virtual and real entity configuration based on complex network, unit tactical decision modeling based on deep reinforcement learning, tactical behavior parameter correction modeling based on dynamic bayesian network and genetic neural network.
39592 为规范和促进计算机生成兵力各类认知行为模型的标准化开发，对面向计算机生成兵力的认知行为模型架构进行综述研究，以计算机生成兵力的意图识别行为为例，探讨了一般认知行为在标准认知架构基础上的功能实现方式。 In order to further formalize and boost standardized behavioral model development of Computer Generated Forces(CGF), the CGF-oriented cognitive architecture is reviewed and the implementation details of one of the CGF cognitive behaviors, i.e. plan recognition, upon standard cognitive architecture are designed.
39593 论证结果表明，良设计的认知行为模型架构对于复杂认知行为建模具有很强的指导意义。 The results show that the well-designed architecture has a strong support for complex behavior modeling.
39594 还提出了需求分析、设计实现、理论基础、协作机制四个方面具体的研究建议。 Four specific suggestions, including requirement analysis, design implementation, theoretical principle and cooperation mechanism, for architecture design and complex behavior modeling are provided.
39595 感知模型是计算机生成兵力行为建模的重要研究领域，作为推理模块的输入，感知模型获取的信息准确与否对仿真的逼真性有着重要影响。 Perception model is an important research field of CGF behavior modeling. As the input of the reasoning module, the information obtained from the perception model has an important influence on the fidelity of the simulation.