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It used to be said that models were dispensable aids to formulating and understanding scientific theories, perhaps even props for poor thinkers. This negative view of the cognitive value of models in science contrasts with today's view that they are an essential part of the development of theories, and more besides. Contemporary studies of scientific practice make it clear that models play genuine and indispensable cognitive roles in science, providing a basis for scientific reasoning. This entry describes types and functions of models commonly used in scientific research.

Types of Models

Given that just about anything can be a model of something for someone, there is an enormous diversity of models in science. The many senses of the word model that stem from this bewildering variety Max Wartofsky has referred to as the “model muddle.” It is not surprising, then, that the wide diversity of models in science has not been captured by some unitary account. However, philosophers such as Max Black, Peter Achinstein, and Rom Harré have provided useful typologies that impose some order on the variety of available models. Here, discussion is confined to four different types of model that are used in science: scale models, analogue models, mathematical models, and theoretical models.

Scale Models

As their name suggests, scale models involve a change of scale. They are always models of something, and they typically reduce selected properties of the objects they represent. Thus, a model airplane stands as a miniaturized representation of a real airplane. However, scale models can stand as a magnified representation of an object, such as a small insect. Although scale models are constructed to provide a good resemblance to the object or property being modeled, they represent only selected relevant features of the object. Thus, a model airplane will almost always represent the fuselage and wings of the real airplane being modeled, but it will seldom represent the interior of the aircraft. Scale models are a class of iconic models because they literally depict the features of interest in the original. However, not all iconic models are scale models, as for example James Watson and Francis Crick's physical model of the helical structure of the DNA molecule. Scale models are usually built in order to present the properties of interest in the original object in an accessible and manipulable form. A scale model of an aircraft prototype, for example, may be built to test its basic aerodynamic features in a wind tunnel.

Analogue Models

Analogue, or analogical, models express relevant relations of analogy between the model and the reality being represented. Analogue models are important in the development of scientific theories. The requirement for analogical modeling often stems from the need to learn about the nature of hidden entities postulated by a theory. Analogue models also serve to assess the plausibility of our new understanding of those entities.

Analogical models employ the pragmatic strategy of conceiving of unknown causal mechanisms in terms of what is already familiar and well understood. Well-known examples of models that have resulted from this strategy are the molecular model of gases, based on an analogy with billiard balls in a container; the model of natural selection, based on an analogy with artificial selection; and, the computational model of the mind, based on an analogy with the computer.

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