Self-organizing mobile agent systems

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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.