基于Q学习的自主Agent模型

为了实现Agent灵活、自主的运行，Agent必须具有很强的学习能力。在BDI模型基础上，引入Q学习方法调整Agent的动作策略。提出了基于Q学习的自主Agent模型，给出了模型的结构及形式化描述。分析了Agent的学习过程。以方格世界的搜索问题为例，验证了模型的正确性和有效性。     

Generation of optimal persistent formations for heterogeneous multi-agent systems with a leader constraint

In this study, we consider the generation of optimal persistent formations for heterogeneous multi-agent systems,with the leader constraint that only specific agents can act as leaders. We analyze three modes to control the optimal persistent formations in two-dimensional space, thereby establishing a model for their constrained generation. Then, we propose an algorithm for generating the optimal persistent formation for heterogeneous multi-agent systems with a leader constraint(LC-HMAS-OPFGA), which is the exact solution algorithm of the model, and we theoretically prove its validity.This algorithm includes two kernel sub-algorithms, which are optimal persistent graph generating algorithm based on a minimum cost arborescence and the shortest path(MCA-SP-OPGGA), and the optimal persistent graph adjusting algorithm based on the shortest path(SP-OPGAA). Under a given agent formation shape and leader constraint, LC-HMAS-OPFGA first generates the network topology and its optimal rigid graph corresponding to this formation shape. Then, LC-HMASOPFGA uses MCA-SP-OPGGA to direct the optimal rigid graph to generate the optimal persistent graph. Finally, LCHMAS-OPFGA uses SP-OPGAA to adjust the optimal persistent graph until it satisfies the leader constraint. We also demonstrate the algorithm, LC-HMAS-OPFGA, with an example and verify its effectiveness.     

无人机编队管理的研究综述

多个无人机(UAV)组成编队执行协同探测、侦察、作战等任务的整体性能相比单个UAV会有很大程度的提高。将UAV编队执行任务的生命周期分为编队形成、编队向任务区域飞行、编队向任务区域飞行过程中动态调整队形、编队进入任务区域执行任务并动态调整队形、编队返回、编队解散6个阶段,并归结为编队集结、编队保持和编队重构3个关键技术问题。对它们的研究现状进行了分析和总结,并对未来的发展方向和研究挑战进行了展望。     

天津数字电视大厦4K审片室的设计实践

介绍了根据高清审片室的特殊用途,如何从建筑空间、材料选择、环境噪声、技术设备等方面进行设计,从而为主审人提供最佳的视觉和听觉感受。