Complexity science

复杂性科学

• 批准号: 341632-2007
• 负责人: Paczuski, Maya
• 金额: $ 2.19万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=429768
• 关键词: Complexity; science

Complexity science is a branch of physics devoted to attacking the "complexity wall". This wall springs from an ongoing explosion of empirical data, giving detailed information about states of a system, including its (noisy) time evolution. The data results from spectacular advances in experimental techniques as well as information technology. Prime examples include high-throughput methods to define the regulatory dynamics of a cell, microtick data on agents' actions in markets or dynamic resource allocation in the internet, or even digital image sequences with high spatial and temporal resolution. Breaking through the complexity wall, and using this knowledge to better the human condition, depends upon improving methods to analyze micro-level data together with discovering high level, but falsifiable concepts that organize data and parametrize models in meaningful ways. This is precisely where methods, tools and models of statistical physics have proven indispensable as a part of efforts between specialists in different fields to solve today's outstanding problems.

复杂性科学是物理学的一个分支，致力于攻克“复杂性墙”。这堵墙源于经验数据的持续爆炸，给出了关于系统状态的详细信息，包括其（噪声）时间演化。 这些数据来自实验技术和信息技术的巨大进步。主要的例子包括定义细胞调控动态的高通量方法，市场中代理行为或互联网中动态资源分配的microtick数据，甚至是具有高空间和时间分辨率的数字图像序列。 突破复杂性的障碍，并利用这些知识来改善人类的状况，取决于改进分析微观数据的方法，以及发现高层次但可证伪的概念，这些概念以有意义的方式组织数据和参数化模型。 这正是统计物理学的方法、工具和模型被证明是解决当今突出问题的不同领域专家之间的努力不可或缺的一部分。