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+
+## Intro / Overview / Structure
+
+- https://en.wikipedia.org/wiki/Mathematical_model
+- https://en.wikipedia.org/wiki/Systems_theory
+
+
+## Inspiration
+
+"Distilling Free-form Natural Laws from Experimental Data"
+    => Eureqa paper from Cornell Creative Machines lab
+
+Brett Victor's "What Technologist can do about climate change"
+
+Structure and Interpretation of Classical Mechanics (SICM)
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+
+The World as a Process: Simulations in the Natural and Social Sciences
+http://philsci-archive.pitt.edu/2412/
+
+Computer Simulations in Science
+https://plato.stanford.edu/entries/simulations-science/
+
+Models in Science
+https://plato.stanford.edu/entries/models-science/
+
+The Nature of Mathematical Modeling
+https://www.amazon.com/Nature-Mathematical-Modeling-Neil-Gershenfeld/dp/052121050X
+http://fab.cba.mit.edu/classes/MAS.864/
+
+http://fab.cba.mit.edu/classes/862.19/index.html
+
+https://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-086-modeling-environmental-complexity-fall-2014/
+
+https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-842-fundamentals-of-systems-engineering-fall-2015/class-videos/session-3-systems-modeling-languages/
+
+https://mitpress.mit.edu/books/mathematical-modeling-systems-biology
+
+https://sysengonline.mit.edu/
+
+https://www.creativemachineslab.com/data-smashing.html
+
+https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2014.0826
+
+
+https://www.semanticscholar.org/paper/Big-data-and-its-epistemology-Frick%C3%A9/3d9b385913f9d470e175051fc113eb2b8dc5981b
+https://www.semanticscholar.org/paper/Comment-on-the-Article-%22-Distilling-Free-form-Laws-Sommer/05e236c40ad24e1d4b4e9019e8115e4279c78f03
+https://www.semanticscholar.org/paper/A-Rebuttal-to-Christopher-Hillar-and-Friedrich-%E2%80%99-s-Schmidt-Lipson/d2558505907f34a73323c08f9c74c8033dc7edc2
+https://www.semanticscholar.org/paper/A-bibliography-on-nonlinear-system-identification-Giannakis-Serpedin/0906939c89e3f0a1812dc619aa27ba707b024f06
+https://www.semanticscholar.org/paper/Fuzzy-identification-of-systems-and-its-to-modeling-Takagi-Sugeno/d79eeb61bc8960242550234e7a801d6863c58aec
+https://www.semanticscholar.org/paper/Issues-in-system-identification-Ljung/8182879ed50a6c69c49b70f6e026636eae546550
+https://www.semanticscholar.org/paper/A-symbolic-data-driven-technique-based-on-Giustolisi-Savic/f3d7a3c3577da69cf2b6c6ec12b4f28990cb9872
+https://www.semanticscholar.org/paper/SYMBOLIC-REGRESSION-OF-IMPLICIT-EQUATIONS-Schmidt-Lipson/59bece54b78fd1d30a3055aac1d44f4d567312d8
+https://www.semanticscholar.org/paper/Artificial-bee-colony-programming-for-symbolic-Karaboga-Ozturk/c5b2c1cae7bba66db8f84aa4c0510cc1f54b4163
+https://www.semanticscholar.org/paper/An-improved-Gene-Expression-Programming-approach-Peng-Yuan/f3368432dd56221c7211f241d53574a01573c206
+https://www.semanticscholar.org/paper/ANALYTIC-PROGRAMMING-%E2%80%93-SYMBOLIC-REGRESSION-BY-MEANS-Zelinka-Oplatkov%C3%A1/3cd80b6b4a82ede98f7070d2fa2c96feb621f55b
+https://www.semanticscholar.org/paper/Automated-adaptive-inference-of-coarse-grained-in-Daniels-Nemenman/6b1c770bd10f91a3eaded5001b3e0763f98cae58
+https://www.semanticscholar.org/paper/Discovering-governing-equations-from-data-by-sparse-Brunton-Proctor/743e96cb7d5acfe5a3dc384fe620f2a6e091504f
+https://www.semanticscholar.org/paper/SISSO-%3A-a-compressed-sensing-method-for-identifying-Ouyang-Curtarolo/0ae836a1bc88e946e6dfa4f0aff467462253d237
+https://www.semanticscholar.org/paper/Efficient-indexing-of-similarity-models-with-Bartos-Skopal/d736201b30c04a1019bb74b2857c4d5693b4c86e
+
+https://github.com/cfusting/fast-symbolic-regression
+https://github.com/sisl/ExprSearch.jl
+http://www.mafy.lut.fi/EcmiNL/older/ecmi35/node70.html
+https://en.wikipedia.org/wiki/HeuristicLab
+http://www.christimperley.co.uk/Wallace.jl/
+
+https://en.wikipedia.org/wiki/World_Brain
+
+https://www.wolframalpha.com/docs/timeline/computable-knowledge-history-5.html