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 ?
elements of legal claims are probabilistically dependent, the
First, there is the vexing case where a set of ends E has a plurality of members, and where the conditional probabilities of some ends are not probabilistically independent of one another, and particularly not independent given some means.
Although one person does not carry out works, many persons can perform such works probabilistically.
We develop a probabilistically correlated failure model on the basis of multiple BPs, which does not assume that the BPs are absolutely reliable and gives the quantified impact that the failed link is on the reliability of BPs.
Therefore, individual TTFij should be considered a probabilistically deterministic function f(FMMC-POFRPj, F9ij, P7ij, DIS7ij) commensurate with j-th FMMCj-F9ij-P7ij-DIS7ij severity (seriousness scale), nomenclature, dominance/weight and interactions of a each individual i-th UUTi.
This is explained probabilistically by noting that prime numbers are congruent to either 1 or -1 (mod 6).
Mackintosh considers two interesting possibilities; the "matching" rule (whereby the animal behaviour is generated probabilistically in proportion to its relative strength), and the maximisation rule, in which animals make a forced choice based upon which alternative appears to have greater strength.
In other words, if one patient survives, there would be an accumulative cost in the next day; likewise, if one patient dies, it would probabilistically reduce cost-effectiveness ratio.
The volumes of individual zones have been aggregated probabilistically taking account of dependency between input property distributions.
Among these nonlinear classifiers, we employed the MLE, being the probabilistically optimal classifier.
For these reasons, it has been criticized for being economically ignorant, (21) probabilistically irrational, (22) and morally deficient.

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