probabilistic


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probabilistic

(probability)
Relating to, or governed by, probability. The behaviour of a probabilistic system cannot be predicted exactly but the probability of certain behaviours is known. Such systems may be simulated using pseudorandom numbers. Evolutionary computation uses probabilistic processes to generate new (potential) solutions to a problem.

See also deterministic, non-probabilistic.
References in periodicals archive ?
Qiu, "The reliability analysis of probabilistic and interval hybrid structural system," Applied Mathematical Modelling, vol.
Then G is said to be a probabilistic norm and (Y; G, *) is referred to as a probabilistic normed space if it satisfies the following:
This essay explores a new kind of objective Bayesianism designed to take us some way toward securing such knowledge-constituting credences, or probabilistic knowledge.
It has been caused by the natural need to get traditional probabilistic software reliability estimation as one of the computer system components.
Regarding the probabilistic fault analysis, in [9] it has been indicated that one of the most important factors of the probabilistic behavior of sub-powered logic gates is represented by the inability of the gate to correctly switch in a given amount of time [10].
One can summarize this in mapping functions that project, for a given type, forecast amount onto a corresponding average probabilistic distribution for gauge observations.
The total hazard curve obtained from probabilistic seismic hazard analysis gives a horizontal Peak Ground Acceleration (PGA) of 0.23g for a return period of 475 years and 0.20g for a return period of 320 years.
This is where probabilistic modeling can help the industry better manage cyber risk globally."
Catastrophe risk modeling firm AIR Worldwide announced it has developed a probabilistic model for cyber risk, which is capable of accounting for security breach and cloud service provider downtime incidents for insurance portfolios worldwide.
This system provides reliable probabilistic prediction of global mean surface temperatures and sea-surface temperatures.
In order to better take into account uncertainties and/or variability in the process of OELs elaboration, it was decided to develop an ad hoc probabilistic approach [3].
These limitations in noncancer risk assessment have led to calls for moving to a probabilistic approach to better quantify the predicted noncancer impacts of chemical exposures, along with the uncertainties and variability of these impacts (Baird et al.