From 635c962de8897bdac95e197702b82219131e1d28 Mon Sep 17 00:00:00 2001 From: Bryan Newbold Date: Mon, 13 May 2019 20:17:43 -0700 Subject: commit scratch/biblio --- bibligraphy.txt | 15 +++++++++++++++ scratch | 54 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 69 insertions(+) create mode 100644 bibligraphy.txt create mode 100644 scratch diff --git a/bibligraphy.txt b/bibligraphy.txt new file mode 100644 index 0000000..aa588d5 --- /dev/null +++ b/bibligraphy.txt @@ -0,0 +1,15 @@ + +## 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) diff --git a/scratch b/scratch new file mode 100644 index 0000000..23c217b --- /dev/null +++ b/scratch @@ -0,0 +1,54 @@ + +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 -- cgit v1.2.3