Self-organizing mobile agent systems

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来支持电子健康记录的有效性。我们已经做了一些有趣的初步工作，使用代理通过内部网自主地移动健康记录，内部网模拟了一个电子连接的医疗保健系统，包括医院、医生、药房和医学测试实验室等组件。通过对系统如何运行的各种场景进行建模，了解数据如何聚集并识别系统中的瓶颈，将提供非常有用的信息。我们还从移动代理作为系统内完整单元的角度来看待调度问题。使用agent -to-agent协商和信息交换来允许系统演化为可接受的最优解决方案。调度是一个非常重要的问题，我们相信通过利用移动代理自治的基本属性，我们可以实现代理系统独特而有效的自组织，以创建快速、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大学课程安排等相对简单的问题领域，后来我们正在考虑将这些方法应用于医院资源分配和使用等情况下形成动态解决方案。在现实世界的调度问题（如大学排课和电子健康记录中的数据移动）中，使用代理作为自组织机制的方法尚未得到研究。

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.