Radix Octrees

As I understand, they can be used to predict the next state of a system: think using them with Markov Chains.

I.e. we use markov chain on every pixel, then integrate the state to then next octree level, calculate again, and so on, till we reach tree root, having the folded prediction.

Say you write an AI for an RTS game. The current game map contains AI player base with enemy units near it. AI has memory from previous plays, which got him octree that enemy units near his base with have high probability following attack on it's base, which would trigger other octree, having memory that moving his AI's own units near base, would efficiently counter the attack. And so AI does that.

Basically you can use Radix Octrees with some "glue" code to completely encode AI behaviour.

>>16
AFAIK from an introductory anatomy lectures, brain does simple edge detection filter, then breaks edges into features, and then does pattern matching,using some advanced form of markov chains. With hearing it is even simpler: ear does FFT, and brain just pattern-matches resulting formants, which you can simplify to latin letters.

http://en.wikipedia.org/wiki/Feature_detection_%28nervous_system%29