Arbital: Google Maps for knowledge

by Alexei Andreev Jan 30 2016 updated Jun 18 2016

Take your understanding from where it is to where it wants to be.

While Arbital can do many things, currently it's most geared towards providing the reader with a tailored explanation on any given subject. Arbital can find out what you know by asking a few questions, and then dynamically generate a tailored sequence of pages for you to read. Take a look at Bayes' rule: Guide to see how that works.

Advantages of Arbital's algorithm:

A few examples:

Tools for authors

Everything you see on any Arbital page was created by its author(s) using Arbital's markdown syntax. There is no page-specific code anywhere. The magic ingredients are Arbital's network of requisites and the relationships that the authors create. Each author can leverage all the existing pages in the Arbital system and their existing requisite connections. For example, if you create a blog post about "Social media graph analysis", you can set "Graph theory" as a prerequisite. A reader who wants to understand your blog post can easily go through the sequence teaching them "Graph theory" after which they'll be ready to read your post.