Bio-QuBIC: Robust Engineering using Biologically-Inspired Models of Cell Differentiation and Morphogenesis

Bio-QuBIC：使用细胞分化和形态发生的生物启发模型进行稳健的工程

• 批准号: 0130391
• 负责人: Gerald Sussman
• 金额: $ 50万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0130391&HistoricalAwards=false
• 关键词: Bio; QuBIC; Robust; Engineering; using

EIA-0130391Gerald J. SussmanMassachusetts Institue of TechnologyTitle: Robust Engineering Using Biologically-inspired Models of Cell Differentiation and MorphogenesisThis research focuses on morphogenesis and developmental biology as an inspiration for algorithms and general principles for organizing complex behavior from locally interacting agents. The goal is to design artificial systems that replicate biological robustness, and to use insights from these systems to understand the capabilities of biological systems. The general principles are formalized as programming languages --- with explicit primitives, means of combination, and means of abstraction --- thus providing a framework or the design and analysis of self-assembling systems. Previous work demonstrated this approach with a programming language that specifies a robust process for shape formation on a sheet of identically-programmed ``cells'' using local primitives from epithelial cell morphogenesis and Drosophila cell differentiation, and rules from geometry. The specific aims are: 1) developing new programming models for domains such as growth and apoptosis (cell death) and 2) investigating the connection of current programming models to biological processes. This research will have significant impact on both the engineering principles for robust design and on the understanding of biological morphogenesis.

EIA-0130391 Gerald J. Sussman麻省理工学院标题：使用细胞分化和形态发生的生物启发模型的鲁棒工程这项研究侧重于形态发生和发育生物学，作为从局部相互作用代理组织复杂行为的算法和一般原则的灵感。我们的目标是设计复制生物鲁棒性的人工系统，并利用这些系统的见解来理解生物系统的能力。一般原则被形式化为编程语言-具有显式原语、组合手段和抽象手段-从而提供了一个框架或自组装系统的设计和分析。以前的工作证明了这种方法与编程语言，指定了一个强大的过程中的形状形成的一张相同的编程“细胞”使用本地原语从上皮细胞形态发生和果蝇细胞分化，并从几何规则。 具体目标是：1）为生长和凋亡（细胞死亡）等领域开发新的编程模型; 2）研究当前编程模型与生物过程的联系。这项研究将对稳健设计的工程原理和对生物形态发生的理解产生重大影响。