The Role of Models in Science
The Role of Models in Science
复制标题
模型在科学中的作用
DOI:
10.1086/286874
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发表时间:
1945
影响因子:
1.7
通讯作者:
N. Wiener
中科院分区:
文献类型:
--
作者:
A. Rosenblueth;N. Wiener
physics. No substantial part of the universe is so simple that it can be grasped and controlled without abstraction. Abstraction consists in replacing the part of the universe under consideration by a model of similar but simpler structure. Models, formal or intellectual on the one hand, or material on the other, are thus a central necessity of scientific procedure. The purpose of this paper is to analyze the usefulness and the limitations of the diverse forms of scientific models. An investigator is often not aware of his methodological procedure, nor is it indispensable that he should have this awareness. Important scientific contributions, especially of an experimental character, can be made even though the experimenter does not realize that all good experiments are good abstractions. An experiment is a question. A precise answer is seldom obtained if the question is not precise; indeed, foolish answers-i.e., inconsistent, discrepant or irrelevant experimental results-are usually indicative of a foolish question. Not all scientific questions are directly amenable to experiment. There is a hierarchy of questions whose levels are determined by the generality of the answers sought. Thus the question of what a certain drug, e.g., cebadine, does to a certain manifestation of a nerve impulse, e.g., the spike potential, belongs to a relatively "low" level in the hierarchy of physiological questions, because it deals with a narrowly restricted phenomenon. An experimenter might formulate and answer that question precisely, and yet have only a vague, intuitive appreciation of its "higher", more general and abstract implications, such as the action of all drugs belonging to a certain chemical group on the spike potential, or the relations between spike potential amplitude and other manifestations of nerve activity. As a rule "high" order, very abstract and general questions, are not directly amenable to an experimental test. They have to be broken down into more specific terms, terms directly translatable into experimental procedure. There are thus two qualitatively different operations involved in the process of formulating the test of a general statement, or in the converse process of building a theory from experimental data. One of these operations consists in moving up or down the scale of abstraction; the other requires the translation of abstraction into experiment, or vice versa. The good experimenter has unusual ability in the second procedure; he is capable of freely interchanging symbols