Zurich University of Applied Sciences, Switzerland.
Artif Life. 2013 Winter;19(1):9-34. doi: 10.1162/ARTL_a_00079. Epub 2012 Nov 27.
Morphological computation can be loosely defined as the exploitation of the shape, material properties, and physical dynamics of a physical system to improve the efficiency of a computation. Morphological control is the application of morphological computing to a control task. In its theoretical part, this article sharpens and extends these definitions by suggesting new formalized definitions and identifying areas in which the definitions we propose are still inadequate. We go on to describe three ongoing studies, in which we are applying morphological control to problems in medicine and in chemistry. The first involves an inflatable support system for patients with impaired movement, and is based on macroscopic physics and concepts already tested in robotics. The two other case studies (self-assembly of chemical microreactors; models of induced cell repair in radio-oncology) describe processes and devices on the micrometer scale, in which the emergent dynamics of the underlying physical system (e.g., phase transitions) are dominated by stochastic processes such as diffusion.
形态计算可以被粗略地定义为利用物理系统的形状、材料属性和物理动力学来提高计算效率。形态控制是将形态计算应用于控制任务。在其理论部分,本文通过提出新的形式化定义并确定我们提出的定义仍然不足的领域,来锐化和扩展这些定义。我们接着描述了三项正在进行的研究,我们正在将形态控制应用于医学和化学中的问题。第一个涉及到用于运动障碍患者的充气支撑系统,它基于已经在机器人技术中测试过的宏观物理学和概念。另外两个案例研究(化学微反应器的自组装;放射肿瘤学中诱导细胞修复的模型)描述了微观尺度上的过程和设备,其中基础物理系统的涌现动力学(例如,相变)由扩散等随机过程主导。