Complexity science is enormously important for intelligence professionals to understand. It holds great promise, I believe, for helping analysts get beyond the 69% threshhold.
It is, however, a daunting topic to tackle unassisted. I spent many years reading everything I could find on the topic that I thought could help me understand the consequences of what is, in many ways, a new way of thinking. I read James Gleick, of course, but I also read Per Bak, Steven Strogatz and Stuart Kaufmann, etc. (My favorite? Laszlo Barabasi).
Eventually, though, the topic become too broad -- there was simply too much to keep up with. Today the field is crowded with all sorts of new entries. If only there was a guide, a "map" of some kind to help orient newcomers to this field...
Voila!
The picture above is just a partial screenshot of a fantastic, interactive map of the wide range of complexity sciences. The map is part of the larger Art and Science Factory site (worth exploring in its own right...). Links on the map go to important individuals and to key websites that explore the various topics.
Elearnspace (where I first saw mention of the map) comments that the map may be incomplete. They, as I, think, however, that it is a very useful product; particularly for beginners.
