A process that runs through successive random, or seemingly random (chaotic) states.
Stochastic is, basically, that which cannot be forecasted in a strictly deterministic monocausal way. Examples are epidemics, traffic on crowded roads, stock market fluctuations, movements in crowds.
It is "none the less possible to specify both the average (random) interval and the ultimate pattern to which those intervals will tend to conform in the long run" (S. BEER, 1967, p.43).
F. HEYLIGHEN states however that, in stochastic processes (e.g. MARKOV chains) "… a given initial state may have several outcomes with different probabilities" (1990a, p.432)
- 1) General information
- 2) Methodology or model
- 3) Epistemology, ontology and semantics
- 4) Human sciences
- 5) Discipline oriented
To cite this page, please use the following information:
Bertalanffy Center for the Study of Systems Science (2020). Title of the entry. In Charles François (Ed.), International Encyclopedia of Systems and Cybernetics (2). Retrieved from www.systemspedia.org/[full/url]
We thank the following partners for making the open access of this volume possible: