Collaborative Research: Search, Signals, and Information Exchange in Distributed Biological Systems

协作研究：分布式生物系统中的搜索、信号和信息交换

• 批准号: 1038708
• 负责人: Deborah Gordon
• 金额: $ 9.5万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1038708&HistoricalAwards=false
• 关键词: Collaborative; Research; Search; Signals; Information

Organisms, societies and computers are all complex systems whose behavior emerges from the interactions of components. For example, effective immune response requires coordinated interactions between billions of immune cells with no central point of control, and the behavior of ant colonies emerges from distributed communication between millions of ants. This research will examine how ant colonies and immune systems form distributed information exchange networks. By studying in detail how distributed interaction networks guide searching strategies in two distinct systems, this project will formulate a general theory describing how decentralized biological networks are organized to search, respond and adapt to different environments, and how they effectively scale up to large sizes. The broad theoretical goal is to understand how network size, structure and dynamics affect biological function.The project will contribute to an interdisciplinary education program that integrates field experiments with computational modeling and serves pre-college, undergraduate and graduate students. Plans are presented to recruit and train members of underrepresented groups. The investigators are well situated to achieve this, as the University of New Mexico is one of only two universities in the nation that are both a Minority Serving Institution and a Carnegie Very High Research Activity University. Interactions with pre-college education projects will expose local students to interdisciplinary science in a way that is engaging and accessible.

生物体、社会和计算机都是复杂的系统，其行为来自组件之间的相互作用。例如，有效的免疫反应需要数十亿个免疫细胞之间的协调互动，而没有中心点的控制，蚁群的行为来自数百万蚂蚁之间的分布式通信。这项研究将研究蚁群和免疫系统如何形成分布式信息交换网络。通过详细研究分布式交互网络如何在两个不同的系统中指导搜索策略，该项目将制定一个通用理论，描述分散的生物网络如何组织搜索，响应和适应不同的环境，以及它们如何有效地扩展到大规模。广义的理论目标是了解网络的大小、结构和动力学如何影响生物功能。该项目将有助于一个跨学科的教育计划，将现场实验与计算建模相结合，为大学预科、本科和研究生提供服务。提出了征聘和培训任职人数不足群体成员的计划。调查人员很好地实现了这一目标，因为新墨西哥州大学是全国仅有的两所大学之一，这两所大学都是少数民族服务机构和卡内基非常高的研究活动大学。与大学预科教育项目的互动将使当地学生以参与和可访问的方式接触跨学科科学。