Compression and Interaction Algorithms for Modeling and Simulation Environments

用于建模和仿真环境的压缩和交互算法

• 批准号: 9528194
• 负责人: Karen Panetta
• 金额: $ 1.8万
• 依托单位: Tufts University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-06-15 至 1997-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9528194&HistoricalAwards=false
• 关键词: Compression; Interaction; Algorithms; Modeling; Simulation

This is a research planning grant developing modeling and simulation aigorithms to assess system performance and to recreate events so as to interpret cause- effect relationships. The research planning activities focus on investigating the potential for developing accurate, general purpose modeling techniques that include compressing multiple experiments (variations of effects on the model) while allowing internal observation to expose the perturbations that caused the outcome. The grant resources are being used to contact other researchers involved in related efforts; and to investigate issures involved in expanding existing concurrent algorithms to areas beyond digital logic modeling and experimentation.

这是一项研究规划资助，旨在开发建模和模拟算法，以评估系统性能并重新创建事件，从而解释因果关系。 研究规划活动的重点是调查开发准确的通用建模技术的潜力，包括压缩多个实验（模型影响的变化），同时允许内部观察暴露导致结果的扰动。 赠款资源用于联系参与相关工作的其他研究人员；并研究将现有并发算法扩展到数字逻辑建模和实验之外的领域所涉及的问题。