MII: Frameworks for the Development of Efficient and Scalable Knowledge-based Systems

EIA 02-20590 Hartley，Roger T.Leung，Hing Ponelli，Enrico Ranjan，Desh Tran，Son新墨西哥州州立大学标题：开发高效和可扩展的基于知识的系统的框架这项建议，扩大旨在吸引和留住美洲原住民学生的活动，旨在发展坚实的合作研究骨干，加强其教育计划，并促进不同学生群体对计算机相关学科的参与。中坚力量推动了计算机科学系的合作研究工作，促进了与其他系(特别是生物学和心理学)和其他研究机构的研究和教育合作。拟议的研究骨干通过四个相互依赖的线索来阐述：用于有效并行执行逻辑和约束编程语言的数据结构和方法用于设计基于知识的系统的语言和方法用于基于知识的应用的基于知识的技术在语义网、通用可访问性和计算生物学中的应用基于知识的应用程序的自动调试和基于组件的编程预计教育计划的加强将导致更好的招生和保留，增加向研究生计划的过渡，并加强研究生和本科生水平的研究和教育之间的整合。这些目标将通过在整个本科课程中引入路径系统来实现，其中不同的路径将适应不同的学生背景。该机构以培训美洲原住民学生的计算机科学教育模式为重点，希望提高不同学生群体对计算机相关学科的参与度，特别是重点是创建培训美国原住民学生计算机科学的教育模式。拟议的基础设施以计算设备(例如，处理器的Beowulf平台、惠普共享内存平台、机器人设备)和人力资源支持(为教师、学生和访问科学家)的形式提供研究支持。教育基础设施包括创建一个新的计算机教室，并为开发新的教育方案提供人力资源。一个由14名研究人员组成的研究小组将从这一基础设施中受益，通过交流新想法来加强他们的跨学科研究。

EIA 02-20590Hartley, Roger T.Leung, Hing Pontelli, Enrico Ranjan, Desh Tran, SonNew Mexico State University Title: Frameworks for the Development of Efficient and Scalable Knowledge-Based Systems This proposal, expanding activities geared to attract and retain Native American students, aims at developing a solid collaborative research backbone, enhancing its educational program, and improving participation of a diverse student population in computer-related disciplines. The backbone, enabling a cooperative research efforts in the Computer Science Department, fosters research and educational collaborations with other departments (specifically Biology and Psychology) and with other research institutions. The proposed research backbone is articulated in four inter-dependent threads: Data structures and methodologies for efficient parallel execution of logic and constraint programming languages Languages and methodologies for the design of knowledge based systems Application of knowledge-based technology in Semantic Web, Universal Accessibility, and Computational Biology Automated debugging and component-based programming for knowledge-based applicationsEnhancement of the educational program is expected to lead to improved recruitment and retention, increased transition towards graduate programs, and a stronger integration between research and education at the graduate and undergraduate level. These goals will be accomplished through the introduction of a pathways system throughout the undergraduate curriculum, where different pathways will accommodate the diverse student backgrounds. Focusing on an educational model for the training of Native American students in Computer Science, the institution expects to improve participation of a diverse student population in computer-related disciplines, with particular focus on the creation of an educational model for the training of Native American students in Computer Science. The proposed infrastructure provides research support, in the form of computing equipment (e.g., a 64-processor Beowulf platform, HP shared memory platform, robotic equipment) and human resources support (for faculty, students, and visiting scientists). The educational infrastructure includes the creation of a new computing classroom and provides human resources for the development of the new educational programs. A research team, consisting of 14 investigators, will benefit from this infrastructure by strengthening their interdisciplinary research through cross-fertilization of new ideas.