Self-organizing mobile agent systems

自组织移动代理系统采用的科学方法是使用特定和重要的问题域来研究独特的移动代理能力。我们将研究使用移动代理支持电子健康记录的有效性。我们已经做了一些有趣的前期工作，使用代理通过内部网自动移动健康记录，内部网模拟了一个电子连接的医疗保健系统，包括以下组件：医院、医生、药房和医学测试实验室。通过对有关该系统将如何运行的各种场景进行建模，了解数据集群如何识别系统中的瓶颈，这是非常有用的。我们还从移动代理作为系统中的完整单元的角度来看待调度问题。智能体之间的协商和信息交换被用来允许系统进化到可接受的然后是最优的解。调度是一个非常重要的问题，我们相信通过利用移动代理的自主性这一基本属性，我们可以通过非法的独特而有效的自组织代理系统来创建快速、动态(实时和不断变化的需求)的解决方案。我们最初将这些方法应用于相对简单的大学课程安排问题领域，稍后我们将考虑在医院资源分配和使用等情况下应用这些方法来形成动态解决方案。在现实世界中使用代理作为自组织机制的方法还没有被研究过，这些问题包括大学排课和电子健康记录中的数据移动。

Self-Organizing Mobile Agent Systems The scientific approach adopted is to investigate unique mobile agent capabilities using specific and important problem domains. We will examine the effectiveness of using mobile agents to support electronic health records. We have done some interesting preliminary work on using agents to move health records autonomously through intranets which model an electronically connected health care system including components such as: hospitals, physicians, pharmacies, and medical test laboratories. It is very informative to see how data clusters and identify bottlenecks in the system by modeling various scenarios as to how this system will function. We are also looking at the scheduling problem from the perspective of mobile agents as complete units within the system. Agents-to-agent negotiation and information exchange is used to allow the system to evolve to acceptable and then optimal solutions. Scheduling is a very important problem and we believe by using the fundamental attribute of autonomy of the mobile agent, we can illicit unique and effective self-organization of agent systems to create rapid, dynamic (real-time and changing requirements) solutions. We are initially applying these methods in the relatively simple problem domain of university course scheduling and later we are looking at applying these approaches to form dynamic solutions in situations such as hospital resource allocation and usage. The approach of using agents as self-organizing mechanisms in real world scheduling problems such as university timetabling and the data movement in electronic health records has not been investigated.