Abstract
A task in the philosophy of discovery is to find reasoning strategies for discovery, which fall into three categories: strategies for generation, evaluation and revision. Because mechanisms are often what is discovered in biology, a newc haracterization of mechanism aids in their discovery. A computational system for discovering mechanisms is sketched, consisting of a simulator, a library of mechanism schemas and components, and a discoverer for generating, evaluating and revising proposed mechanism schemas. Revisions go through stages from how possibly to how plausibly to how actually .
The full version of this paper is published in the Proceedings of the 4th International Conference on Discovery Science, Lecture Notes in Artificial Intelligence Vol. 2226
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© 2001 Springer-Verlag Berlin Heidelberg
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Darden, L. (2001). Discovering Mechanisms: A Computational Philosophy of Science Perspective. In: Abe, N., Khardon, R., Zeugmann, T. (eds) Algorithmic Learning Theory. ALT 2001. Lecture Notes in Computer Science(), vol 2225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45583-3_5
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DOI: https://doi.org/10.1007/3-540-45583-3_5
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