基于Q-learning的不确定环境BDI Agent最优策略规划研究

BDI模型能够很好地解决在特定环境下的Agent的推理和决策问题,但在动态和不确定环境下缺少决策和学习的能力。强化学习解决了Agent在未知环境下的决策问题,却缺少BDI模型中的规则描述和逻辑推理。针对BDI在未知和动态环境下的策略规划问题,提出基于强化学习Q-learning算法来实现BDI Agent学习和规划的方法,并针对BDI的实现模型ASL的决策机制做出了改进,最后在ASL的仿真平台Jason上建立了迷宫的仿真,仿真实验表明,在加入Q-learning学习机制后的新的ASL系统中,Agent在不确定环境下依然可以完成任务。     

The benefit of being physically present: A survey of experimental works comparing copresent robots,telepresent robots and virtual agents

The effects of physical embodiment and physical presence were explored through a survey of 33 experimental works comparing how people interacted with physical robots and virtual agents. A qualitative assessment of the direction of quantitative effects demonstrated that robots were more persuasive and perceived more positively when physically present in a user׳s environment than when digitally-displayed on a screen either as a video feed of the same robot or as a virtual character analog; robots also led to better user performance when they were collocated as opposed to shown via video on a screen. However, participants did not respond differently to physical robots and virtual agents when both were displayed digitally on a screen – suggesting that physical presence, rather than physical embodiment, characterizes people׳s responses to social robots. Implications for understanding psychological response to physical and virtual agents and for methodological design are discussed.     

三维最短路径法射线追踪及改进

射线追踪技术在地震学领域有着广泛的应用，其中以最短路径算法在复杂介质中走时计算稳定性最好。理论上最短路径法的误差来源为速度模型采样误差、空间离散化误差和角度离散化的误差，由此造成网格稀疏时射线路径呈之字形，计算走时比实际走时偏大。弯曲法追踪精度高，但是射线追踪速度受初始路径与真实射线路径逼近程度制约，在复杂介质中可能找不到全局最小走时路径。最短路径法追踪出来的网格射线路径，可以作为较理想的初始路径，供弯曲法迭代优化。将最短路径法和弯曲法结合，通过射线在初始路径附近的扰动得到Fermat原理约束下的最短路径。文章对常速模型的试算，显示了改进方法对射线路径优化的作用，在模型网格稀疏的情况下效果尤其明显。本算法适用于计算三维任意复杂介质中初至波走时和射线路径，可应用于三维走时层析成像等领域。     

浅析高校新校区选址主要影响因素

从政策、城市与区域规划、环境、文化及其传承因素、基础设施等方面探析了高校新校区选址有关的主要影响因素，以满足高等学校大规模的扩建要求，促进高等教育的发展。     

移动机器人路径规划方法研究

移动机器人技术研究中的一个重要领域是路径规划技术，它分为基于模型的环境已知的全局路径规划和基于传感器的环境未知的局部路径规划。综述了移动机器人路径规划技术的发展现状指出了各种方法的优点与不足，最后对移动机器人路径规划技术的发展趋势进行了展望。     

遗传算法在GSM移动通信网络频率规划中的应用

应用遗传算法设计和开发了针对爱立信GSM900系统的频率规划软件。在设计中，采用了交叉点存储、变异回退以及分割分步降维的方法，从而提高遗传算法的执行速度。     

初至走时层析成像的一个应用实例

利用基于最短路径树弯曲射线追踪的联合迭代重建层析成像(SIRT)技术进行井间地震层析成像,对胜利油田的一对井间实际资料进行了处理。层析成像结果表明,层析成像算法可靠稳定,收敛性好,层析成像结果的精度较高。     

如何使用Photoshop6.0美化图像边框

首先介绍了给图像周围加上美丽艺术花纹的方式，其次介绍了给图像周围加上美丽的像框的方式，这两种方式都能对图像周边加以修饰，其中使用了通道法，渐变法和路径法等等。读者还可以上面介绍的方法为启迪，充分发挥个人的想象力，创作出各种各样的、多姿多彩的图像边框。     

Requirements engineering in health care: the example of chemotherapy planning in paediatric oncology

Health care is characterized by highly complex processes of patient care that require unusual amount of communication between different health care professionals of different institutions. Sub-optimal processes can significantly impact on the patient’s health, increase the consumption of services and resources and in severe cases can lead to the patient death. For these reasons, requirements engineering for the development of information technology in health care is a complex process as well: without constant and rigorous evaluation, the impact of new systems on the quality of care is unknown and it is possible that badly designed systems significantly harm patients. To overcome these limitations, we present and discuss an approach to requirements engineering that we applied for the development of applications for chemotherapy planning in paediatric oncology. Chemotherapy planning in paediatric oncology is complex and time-consuming and errors must be avoided by all means. In the multi-hospital/multi-trial-centre environment of paediatric oncology, it is especially difficult and time-consuming to analyse requirements. Our approach combines a grounded theory approach with evolutionary prototyping based on the constant development and refinement of a generic domain model, in this case a domain model for chemotherapy planning in paediatric oncology. The prototypes were introduced in medical centres and final results show that the developed generic domain model is adequate.