That’s an implication I haven’t really thought about, but it does make sense. It’s a lot harder to fix all the problems in the world than choosing actions for yourself only though.
I have different reading lists on hacker news, twitter, reddit and medium and because of this I never read anything that I don’t read directly… If you need to share between them you need some convenient app for your phone and computer.
Interesting take. There are definitely multi-objective optimizations at play and as you say knowing this should be advantageous. As opposed to running it in code there is more uncertainty, partial information, less options for tests/objective evaluation etc. though. In fact we as individuals are doing multi-objective optimization every day when we spend our time to achieve different objectives (staying healthy, earning money, having fun etc.).
Alright, I see your point. My idea was to create a second article or part 2 with some more practical work using MOGAs if there was any interest. But I can see the benefit of adding a simple example here too.
There are plenty of scientific papers and wikipedia articles for any complex topic. The point of the article is instead to introduce the topic in plain english without extensive mathematical notation or expressions. The idea _is_ simple. Perhaps I should have added some visualizations of the Pareto front, but I think sometimes these graphs are shown unnecessarily quickly. Besides that what would you add to an introduction that is paramount to one’s understanding?