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A biologically inspired DNA-based cellular approach to developing complex adaptive systems.

机译：生物启发的基于DNA的细胞方法来开发复杂的自适应系统。

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摘要

The development of most engineered systems usually involves large amounts of investment, yet their value may decrease significantly when operation environments change. The out-of-date systems are often discarded because upgrading usually costs more than replacing. While it has been recognized that system adaptability is required by both economical and mission-critical needs, there has been little research that explores and develops theories and methodologies for designing adaptive systems partly due to the traditional "static design" framing of engineering design problems.;A general way to solve design problems is to "Divide and Conquer" the problem whereby the design is decomposed through its various hierarchical layers in the hopes that it becomes simpler to address and realize at the lower levels. The systems which the D&C approach is suited to be applied to are those systems with a limited level of complexity, i.e. statically connected system elements. Adaptability requires flexibility which calls for allowing system elements to have dynamic connections. Doing so results in an increase of system complexity because more information is required to define it. As a result, the D&C based approach may find its limitations when being applied to such complex systems because one may not even know where to begin dividing. In order to cope with the complexity problem of adaptive systems design and avoid potential limitations of the D&C type top-down approach, we explore a more bottom-up approach to design. The basic idea of this approach is two-fold. First, to allow a system to exhibit adaptability the system must be able to self-organize itself in case of situational changes. Second, for an adaptive system to maintain its designated functionality, it must possess mechanisms that allow the system to keep its functional information and regulate its self-organizing process.;We develop and discuss a Self-Organizing System Design Framework or SOS Framework for the development of adaptive systems and draw insights for it from principles and concepts extracted from biology. In this dissertation we expand one facet of SOS by developing an artificial DNA-based Cellular Formation Representation framework (cFORE) for representing and constructing artificial systems in a manner which mimics biological systems. One of the key issues in achieving high adaptability in artificial systems is how to dynamically capture, represent and apply design information pertaining to the designed functions and changing environmental situations. Biological DNA in natural systems plays the key role in keeping, maintaining and transferring such "design information" within and between individuals. Resembling biological DNA, we developed an "artificial DNA" called dDNA (Design DNA) which maintains design information and provides an avenue for generating new designs adaptively. In this dissertation, we present a discussion of the overall SOS framework along with the modeling of its first facet, cFORE. A simple case example along with a more detailed multi-agent based computer simulation study is provided to demonstrate the power of SOS and cFORE towards the development of mechanical self-organizing cellular adaptive systems.
机译：大多数工程系统的开发通常涉及大量投资，但是当操作环境发生变化时，其价值可能会显着下降。过时的系统通常被丢弃，因为升级通常比更换花费更多。虽然已经认识到，经济和关键任务都需要系统适应性，但是很少有研究探索和发展用于设计自适应系统的理论和方法，部分原因是工程设计问题的传统“静态设计”框架。 ;解决设计问题的一般方法是“划分并征服”问题，通过该问题，设计可以通过各个层次进行分解，以期在下层解决和实现变得更简单。 D＆C方法适用于的系统是那些复杂程度有限的系统，即静态连接的系统元素。适应性要求灵活性，这要求允许系统元素具有动态连接。这样做会导致系统复杂性增加，因为需要更多的信息来定义它。结果，基于D＆C的方法在应用于这种复杂系统时可能会发现其局限性，因为人们甚至可能不知道从哪里开始划分。为了解决自适应系统设计的复杂性问题并避免D＆C类型自上而下方法的潜在限制，我们探索了一种自下而上的设计方法。这种方法的基本思想是双重的。首先，为了使系统具有适应性，在情况发生变化的情况下，系统必须能够自我组织。其次，为使自适应系统保持其指定的功能，它必须具有允许系统保留其功能信息并调节其自组织过程的机制。;我们开发并讨论了自组织系统设计框架或SOS框架。自适应系统的开发，并从生物学中提取的原理和概念为其寻求见识。在本文中，我们通过开发基于人工DNA的细胞形成表示框架（cFORE）来扩展SOS的一个方面，该框架以模仿生物系统的方式表示和构建人工系统。在人造系统中实现高度适应性的关键问题之一是如何动态捕获，表示和应用与设计功能和不断变化的环境有关的设计信息。自然系统中的生物DNA在保持，维持和在个体内部和个体之间传递此类“设计信息”方面发挥着关键作用。我们类似于生物DNA，开发了一种称为dDNA（设计DNA）的“人工DNA”，它可以保留设计信息并为自适应地生成新设计提供一条途径。在本文中，我们对整个SOS框架及其第一个方面cFORE的建模进行了讨论。提供了一个简单的案例示例以及更详细的基于多主体的计算机仿真研究，以展示SOS和cFORE对机械自组织蜂窝自适应系统发展的强大作用。

著录项

  • 作者

    Zouein, George Elias.;

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Biology Cell.;Engineering Mechanical.;Biology Bioinformatics.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 209 p.
  • 总页数 209
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 细胞生物学;机械、仪表工业;
  • 关键词

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