TRANSITION (Rule obeying)
| Collection | International Encyclopedia of Systems and Cybernetics |
|---|---|
| Year | 2004 |
| Vol. (num.) | 2(2) |
| ID | ◀ 3626 ▶ |
| Object type | Methodology or model |
A situation in which each of the various possible transitions between the different elements of a system is constant.
Let us say for example that the probability of a transition of the element B to C will always be 0,13 while the transition from element A to D will always be 0,21, in a system where the total of possible transitions between elements is 1. The general basic model has been developed by ASHBY (1956). In most natural systems and artificial life systems the probabilities may vary, being submitted to weight adjustments in a process of parallel distributed processing (D. RUMELHART & J. McCLELLAND, 1986)
Rule-obeying processes have been also considered by J. BRYANT (1998), who views the brain as a rule-obeying system (p.113-120)
See also
Markovian matrix- Markovian process