Abstract
In the second chapter we mentioned that a natural law is usually expressed in terms of a relation between the variables used to characterize the state of Nature. We also pointed out that a natural law can be represented by a model formed by a mapping from the observed part of Nature to the properties of some device in such a way that the properties of Nature can later be retrieved from the model. In order to carry out a modeling automatically, the corresponding system, or the modeler, must include an array of sensors, a processor with a memory, such as an electronic computer, and an array of actuators. Our purpose here is to try to answer the previously-posed question: What are the general characteristics of an operating program that makes such a system into an automatic modeler of natural phenomena? To answer this question, we must first take into account the random character of physical variables and generalize the concept of a natural law. We then describe the fundamental operations of the system that are needed for the formation and application of natural laws.
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Grabec, I., Sachse, W. (1997). Adaptive Modeling of Natural Laws. In: Synergetics of Measurement, Prediction and Control. Springer Series in Synergetics, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60336-5_7
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DOI: https://doi.org/10.1007/978-3-642-60336-5_7
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