- related to Gibson's concept of optical flow and affordance perception
- used in many applications: movement detection, video compression, frame reconstruction, image stabilization etc.

[poz 191023] proposals:

- lindenmayer system
- optical flow (lucas-kanade is a possible implementation)

- clustering algorithms
- rewriting systems (how to think it more abstract?)
- cellular automata
- referntial transparency

It assumes that the flow is essentially constant in a local neighbourhood of the pixel under consideration, and solves the basic optical flow equations for all the pixels in that neighbourhood, by the least squares criterion

(in relation to the disposition of 'Differential Segmentation')

axiom: | 0 |

1st recursion: | 1[0]0 |

2nd recursion: | 11[1[0]0]1[0]0 |

3rd recursion: | 1111[11[1[0]0]1[0]0]11[1[0]0]1[0]0 |

a simple neural network (with python examples)

[in SC]