Conrad M
Biosystems. 1981;13(4):303-20. doi: 10.1016/0303-2647(81)90008-3.
Conceptual biological models can sometimes be usefully expressed in algorithmic form. Models expressed in this way are often capable of capturing more aspects of the complete system than could be captured by other modeling approaches, though in general each aspect is captured in a highly simplified way. Two examples are given. The first involves algorithmic specification of the theory of evolution. The second involves a recently implemented computational model of the brain. Work with such models has, to some extent, the style of experimental work. It often suggests interesting problems or exposes subtle features of the system whose importance has been overlooked.
概念性生物学模型有时可以有效地以算法形式表达。以这种方式表达的模型通常能够比其他建模方法捕捉到完整系统的更多方面,尽管一般来说每个方面都是以高度简化的方式捕捉的。给出了两个例子。第一个涉及进化理论的算法规范。第二个涉及最近实现的大脑计算模型。使用这样的模型在某种程度上具有实验工作的风格。它常常会提出有趣的问题或揭示系统中被忽视其重要性的微妙特征。