Abstract
In this paper we describe BR-4, a computational model of scientific discovery in particle physics. The system incorporates operators for determining quantum values of known particles, formulating new quantum properties, positing new particles, and predicting reactions among particles. BR-4 carries out heuristic search guided by constraints that its theory be consistent andcomplete with respect to observed reactions. We show that this control scheme is sufficient to model, with some manual intervention, an extended periodin the history of particle physics, including the discovery of the neutrino and the postulation of baryon, lepton, and electron numbers. In closing, we compare BR-4 to other discovery systems and suggest directions for future research.
Cite
CITATION STYLE
Kocabas, S., & Langley, P. (2001). An integrated framework for extended discovery in particle physics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2226, pp. 182–195). Springer Verlag. https://doi.org/10.1007/3-540-45650-3_18
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