We propose a novel approach, to automatically discover formulae of first principles from the measurement data. We try to use the knowledge of the target relation as little as possible, so that it can be applied to various domains which are not limited to physics problem. In spite of its data-driven feature, the formulae obtained by our approach are ensured to represent sound first principles. The basic idea is the combined use of deductive scale type-based reasoning and data-driven reason-ing. This approach may provide a basis to discover qualitative first principles of ambiguous domains such as biology, psychology, economics and social science.
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