Abstract
The observation of the dependencies between the data and the conditions of the observation always was and is a primary source of knowledge about complex dynamics. We discuss direct program-driven analysis of these data dependencies with the goal to build a model directly in computer and thus to predict the dynamics of the object based on measured data. The direct generalization of data dependencies is a critical step in building data-driven models.
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References
H. Anderson, “Metropolis, Monte Carlo and the MANIAC”, Los Alamos Science, n.14, p. 69, 1986
N. L. Balazs, J. C. Browne, J. D. Louck, D. S. Strottman, Nicholas Constantine Metropolis, Physics Today, v.53, n.10, p. 100, (2000) http://www.aip.org/pt/vol-53/iss-10/p100.html
J. Gray, “The Revolution in Database Architecture”, Tech. Rep., Microsoft Research, March 2004, http://research.microsoft.com/~Gray
F. Harlow, N. Metropolis, “Computing and Computers — Weapons Simulation Leads to the Computer Era,” Los Alamos Science, n.7, p. 132, 1983 http://lib-www.lanl.gov/la-pubs/00285876.pdf
J. von Neumann and E. Wigner, Phys. Z. 30, 467 (1927).
N. Metropolis, “The Beginning of the Monte Carlo Method”, Los Alamos Science, Special Issue 1987, p. 125–131 http://lib-www.lanl.gov/la-pubs/00326866.pdf
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Bykovsky, V.K. (2010). Data-Driven Modeling of Complex Systems. In: Minai, A., Braha, D., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85081-6_5
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DOI: https://doi.org/10.1007/978-3-540-85081-6_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85080-9
Online ISBN: 978-3-540-85081-6
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