组分(热力学)
超分子化学
适应(眼睛)
集合(抽象数据类型)
计算机科学
化学
选择(遗传算法)
生化工程
人工智能
生物
分子
神经科学
工程类
物理
热力学
有机化学
程序设计语言
标识
DOI:10.1002/anie.201208397
摘要
Abstract Chemistry is progressively unraveling the processes that underlie the evolution of matter towards states of higher complexity and the generation of novel features along the way by self‐organization under the pressure of information. Chemistry has evolved from molecular to supramolecular to become adaptive chemistry by way of constitutional dynamics, which allow for adaptation, through component selection in an equilibrating set. Dynamic systems can be represented by weighted dynamic networks that define the agonistic and antagonistic relationships between the different constituents linked through component exchange. Such networks can be switched through amplification/up‐regulation of the best adapted/fittest constituent(s) in a dynamic set. Accessing higher level functions such as training, learning, and decision making represent future lines of development for adaptive chemical systems.
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