Algorithms and Structure of Theoretical and Natural Computing Models

理论和自然计算模型的算法和结构

• 批准号: RGPIN-2016-06172
• 负责人: McQuillan, Ian
• 金额: $ 1.89万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634801
• 关键词: Algorithms; Structure; Theoretical; Natural; Computing

The area of natural computing investigates different models of computation inspired by nature. Some major objectives of this area are to formalize the processes mathematically, study properties of the models, create algorithms to analyze data from exhibited characteristics, and create computer simulations of the processes. These all contribute towards an improved understanding of the natural systems themselves. Our research group is especially interested in natural and theoretical models of computation involving DNA and other sequences, and examining how they change over time in response to various machinery and operations.

自然计算领域研究了受自然启发的不同计算模型。该领域的一些主要目标是通过数学上的过程进行正式化过程，研究模型的属性，创建算法来分析来自展示特征的数据，并创建计算机模拟过程。这些都有助于改善对自然系统本身的理解。我们的研究小组对涉及DNA和其他序列的自然和理论模型特别感兴趣，并研究了它们如何随着时间的流逝而随着时间的流逝而变化，以响应各种机械和操作。