valerdev

A few highlights from reading All models are wrong: reflections on becoming a systems scientist; John D. Sterman. This is the paper form of a lecture held in 2002 by John D. Sterman, upon receiving the Jay Forrester award. What is System Dynamics? It can be seen through multiple lens, as: Science: the modeling process assumes hypothesizing, building a model, running an experiment - the simulation of the system through that model, and potentially invalidating the model.

I stumbled upon this paper while contemplating whether it’s possible (and valuable) to build a network representation of technology - eg. which tech requires which lower-level tech, which tech depends on which natural phenomena, how tech shifts over time, what feedback loops are present, … An ill-defined task that remains just a draft, a fun thought experiment; but let’s switch to the paper now. Link: DeepDive: declarative knowledge base construction

A Chronology of Interpolation: From Ancient Astronomy to Modern Signal and Image Processing. Printed this paper a few weeks ago while I was reading about KZG1, 2, 3 and left it aside. It’s aged enough, time to actually read it. The problem of constructing a continuously defined function from given discrete data is unavoidable whenever one wishes to manipulate the data in a way that requires information not included explicitly in the data.