Twelve Simple Factal Machines in Operation

1. A non-technical introduction to the HaveNWant Schemata:

2. The simplest possible Machine, a shell which defines two interfaces to the world below, and superiors above:

3. An associative memory built with 3 factals. It is the essence of a Necker Cube:



4. Another take on how the associative memory of the Necker Cube operates:



5. The Previous factal, which enables associations which contain state transitions



6. A 3-bit learner learns patterns from experience.  A model is built, and elements are added to the model when the current model fails to predict certain bits in the pattern:



7. A 7-bit learner learns patterns from experience.  It associates animals with the sounds they make.



8. A 5x5 bit learner learns patterns from experience.



9. The heart of the Mazlovian Multiplexor, chooses the largest bid from a field of 6x6 bits, and mirrors an activation down to the largest.



10. The visual patterns from the Supertux video game are recognized by a fixed pattern recognizer.



11. A Machine that learns visual patterns from the Supertux video game.  When the game is rerun, it recognizes the



12. The road ahead: