File:Visualization of relevant sets and their distances - two notions of distance for the problem of learning Kepler’s third law of planetary motion from solar-system data and background theory.webp

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From the study "Combining data and theory for derivable scientific discovery with AI-Descartes"

Summary[edit]

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English: "The numerical data, background theory, and a discovered model are depicted for Kepler’s third law of planetary motion giving the orbital period of a planet in the solar system. The data consists of measurements (m1, m2, d, p) of the mass of the sun m1, the orbital period p and mass m2 for each planet and its distance d from the sun. The background theory amounts to Newton’s laws of motion, i.e., the formulae for centrifugal force, gravitational force, and equilibrium conditions. The 4-tuples (m1, m2, d, p) are projected into (m1 + m2, d, p). The blue manifold represents solutions of fB, which is the function derivable from the background-theory axioms that represents the variable of interest. The gray manifold represents solutions of the discovered model f. The double arrows indicate the distances β ( f ) and ε( f )."
Date
Source https://www.nature.com/articles/s41467-023-37236-y
Author Authors of the study: Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir & Lior Horesh

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current22:46, 8 June 2023Thumbnail for version as of 22:46, 8 June 20231,000 × 799 (65 KB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Cristina Cornelio, Sanjeeb Dash, Vernon Austel, Tyler R. Josephson, Joao Goncalves, Kenneth L. Clarkson, Nimrod Megiddo, Bachir El Khadir & Lior Horesh from https://www.nature.com/articles/s41467-023-37236-y with UploadWizard

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