课题基金 / 基金详情

Expedited Award for Novel Research: The Nematode as a ModelComplex System-Exploratory Studies

Expedited Award for Novel Research: The Nematode as a ModelComplex System-Exploratory Studies
新颖研究加急奖:线虫作为模型复杂系统探索性研究
批准号:
8809746
负责人:
Sanjoy Mitter
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1988
资助国家:
美国
项目状态:
已结题
起止时间:
1988-04-01 至 1989-09-30

项目摘要

项目成果

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中文摘要
翻译
一个基本的工程问题是“复杂”系统的组织。这类系统需要多个组件的协调交互和通信,并可能涉及高度并发和分布式的计算和控制。这些系统通常必须与多变的环境交互,并适应变化的环境。然而,目前甚至没有一种合适的语言来讨论这种系统的组织,更不用说适当的理论或数学框架了。为了建立这样一个框架,有人建议将重点放在一种“简单的”生物有机体--线虫线虫上,作为一个小但基本上自给自足的模型宇宙。PI的目的是将实验数据和理论结构合并到一组协调一致的并行部分模型中,具有不同程度的相互影响。这些模型可能在类型、组织级别、抽象程度和解析级别上有所不同。从长远来看,它们应该包括有机体的发展、结构、功能和行为的不同阶段。然而,最初的重点将是神经系统在行为控制中的功能。该方法将包括三个相互作用的部分:计算机建模和模拟、数学和理论发展以及实验室实验。
英文摘要
A basic engineering issue is the organization of "complex" systems. Such systems require the coordinated interaction and communication of many components, and may involve highly concurrent and distributed computation and control. These systems must generally interact with and adapt to a changeable environment. At the present time, however, there is not even a suitable language to discuss the organization of such systems, let alone a proper theoretical or mathematical framework. To develop such a framework, it is proposed to focus on a "simple" biological organism, the nematode worm C.elegans, as a small but essentially self-contained model universe. PI's intend to incorporate experimental data and theoretical constructs into a coordinated set of concurrent partial models, with varying degrees of mutual influence. These models may differ as to type, level of organization, degree of abstraction, and level of resolution. Over the long term, they should incorporate the various stages of development, structure, function, and behavior of the organism. Initially, however, the focus will be on the function of the nervous system in the control of behavior. The approach will comprise three interacting components: computer modelling and simulation, mathematics and theory development, and laboratory experimentation.
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会议论文
Collaborative Research: CDI-Type II: Discovery of Succinct Dynamical Relationships in Large-Scale Biological Data Sets
Control over Networks
ITR: Collaborative Research: New Approaches to Experimental Design and Statistical Analysis of Genomic and Structural Biologic Data from Multiple Sources
KDI: Learning, Adaptation and Layered Intelligent Systems
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