US-Egypt Cooperative Research: Development of An Intelligent Agent-Based Architecture for the Development and Deployment of Distributed Knowledge Based Systems

该奖项旨在支持北达科他州法戈北达科他州立大学计算机科学系Ahmed Kamel博士和埃及开罗美国大学计算机科学系Ahmed Rafea博士之间的合作项目。他们计划利用两种技术为复杂问题的解算器设计新的能力，基于知识的系统技术是一项成熟的技术，而智能代理技术是一种新兴的、仍在发展中的技术。他们计划开发一种用于协作解决问题的基于知识的分布式智能体系结构，并在处理农业(小麦)生产管理的应用程序中测试新系统。范围：该项目支持一名美国科学家和一名埃及科学家在一个及时且具有重大潜在应用的研究项目中进行合作。这两家私人投资机构目前正在埃及合作开展一个灌溉小麦管理项目。该项目正在生成一组应用程序，这些应用程序将被用作本研究中开发的基于知识的分布式智能体系结构的试验台。在数据源和计算机工具在地理上分布的许多类似问题中，这种体系结构将是有用的。该研究将涉及一名美国研究生和两名来自埃及的研究生。该项目符合支持共同感兴趣领域的合作研究的INT目标。

0108308Kamel Description: This award is to support a collaborative project between Dr. Ahmed Kamel, Department of Computer Science, North Dakota State University, Fargo, North Dakota and Dr. Ahmed Rafea, Department of Computer Science, The American University in Cairo, Cairo, Egypt. They plan to devise new capabilities for complex-problem solvers by utilizing two technologies, the knowledge-based system technology, which is a mature technology, and the intelligent agents technology which is emerging and is still evolving. They plan to develop a distributed knowledge-based intelligent architecture for cooperative problem solving, and to test the new system in an application dealing with agricultural (wheat) production management. Scope: The project supports collaboration between a US scientist and an Egyptian scientist in a research project that is timely and which has significant potential applications. The two PIs are currently collaborating on a project for the management of irrigated wheat in Egypt. That project is generating a working set of applications that will be utilized as a test bed for the distributed knowledge-based intelligent architecture developed in this research. Such architecture will be useful in many similar problems where the data sources and computer tools are geographically distributed. The research will involve one US graduate student and two graduate students from Egypt. This project meets the INT objective of supporting collaborative research in areas of mutual interest.