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diff --git a/posts/modelthing-background.md b/posts/modelthing-background.md index ae79211..51bd2db 100644 --- a/posts/modelthing-background.md +++ b/posts/modelthing-background.md @@ -4,7 +4,7 @@ Date: 2020-06-28 Tags: modelthing Status: draft -This post describes the potential for collaborative infrastructure to agument +This post describes the potential for collaborative infrastructure to augment human research and understanding using mathematical models. These models, consisting of symbolic equations which are semantic and machine-readable, have historically been "unreasonably effective" at describing the natural world. A @@ -23,7 +23,7 @@ to answer. Much of my university (undergraduate) time studying physics was spent exploring computational packages and computer algebra systems to automate math. These included general purpose computer algebra or numerical computation systems like -Mathematica, MATLAB, Numerical Recipies in C, SciPy, and Sage, as well as +Mathematica, MATLAB, Numerical Recipes in C, SciPy, and Sage, as well as real-time data acquisition or simulation systems like LabView, ROOT, Geant4, and EPICS. I frequently used an online system called Hyperphysics to refresh my memory of basic physics and make quick calculations of things like Rayleigh @@ -52,7 +52,7 @@ learning format will not be best for everybody. </div> A particularly influential experience late in my education was taking a course -on classical mechanics using the Scheme programing language, taught by the +on classical mechanics using the Scheme programming language, taught by the authors of "Structure and Interpretation of Classical Mechanics" (SICM). The pedagogy of this course really struck a chord with me. Instead of learning how to operate a complex or even proprietary software black box, students learned |