Symposium on Combinatorial Search, SoCS-2016

组合搜索研讨会，SoCS-2016

• 批准号: 1630047
• 负责人: Richard Korf
• 金额: $ 0.7万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1630047&HistoricalAwards=false
• 关键词: Symposium; Combinatorial; Search; SoCS; 2016

This grant is to provide partial support for U.S.-based graduate and undergraduate students to attend the Ninth Symposium on Combinatorial Search (SoCS-2016), a scientific conference to be held at Tarrytown, NY from July 6-8, 2016. Combinatorial search is an area of artificial intelligence that deals with systematic trial-and-error exploration of a very large number of alternative solutions to a problem. NSF funding is crucial to support students who would otherwise not be able to attend the symposium. Attending such meetings and presenting their research is an important part of the professional development of students, addressing a critical shortage of highly-skilled computer scientists in the U.S.SOCS brings together researchers in heuristic search and combinatorial optimization from all areas of artificial intelligence, planning, robotics, constraint programming, operations research, and bioinformatics. The intellectual merit of this activity stems from bringing together in one place at one time researchers from otherwise diverse areas of computer science that both advance the state of the art in heuristic search and/or combinatorial optimization, and also use these tools in their research. The broader impacts come from cross-fertilization of different fields that advance and/or use these tools, by promoting research in this area by providing a small intimate meeting on these topics, a forum for presenting such work, and archival proceedings for publishing work in this area. These latter goals are instrumental to training new researchers in this area.

这笔赠款将为美国提供部分支持-基于研究生和本科生参加第九届组合搜索研讨会（SoCS-2016），科学会议将于2016年7月6日至8日在纽约州塔里敦举行。组合搜索是人工智能的一个领域，它涉及对问题的大量替代解决方案进行系统的试错探索。 NSF的资助对于支持那些无法参加研讨会的学生至关重要。 参加这样的会议并展示他们的研究是学生专业发展的重要组成部分，解决了美国高技能计算机科学家的严重短缺SOCS汇集了来自人工智能，规划，机器人，约束编程，运筹学和生物信息学所有领域的启发式搜索和组合优化研究人员。 这项活动的智力价值源于将来自计算机科学不同领域的研究人员聚集在一起，这些研究人员既推进了启发式搜索和/或组合优化的最新技术，又在他们的研究中使用这些工具。 更广泛的影响来自不同领域的交叉施肥，推进和/或使用这些工具，通过促进这一领域的研究，提供一个关于这些主题的小型亲密会议，一个展示这些工作的论坛，以及在这一领域出版工作的档案程序。 后一个目标有助于培训这一领域的新研究人员。