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The structure of scientific explanation: deductive and probabilistic explanation.
It is interesting that the probabilistic model is a model not of a physical phenomenon, but of another piece of mathematics.
We duck if we see something about to hit us and we do not undertake a formal probabilistic risk assessment before we cross the road.
The surprise caused by this puzzle can be expressed in probabilistic terms.
Maps of probabilistic risk give an idea of the underlying statistical uncertainty, as is done in calculating insurance risk.
He no longer insists on indefeasible knowledge, now settling for probabilistic arguments.
One of the main reasons that these decisions can constitute a psychological burden is that they must be made based on uncertain, probabilistic data.
According to the theory of probabilistic mental models, the decision to choose one response over the other is based on the testing of contextually relevant cues.
Admitting an applicant with high grades, then, is a probabilistic judgment based on the group to which he belongs.
The risks put those tasks on a probabilistic critical path with an associated probability.
Indeed, contemporary physics tells us the actual world abounds with probabilistic processes that are causal in character.
Around this time Menger's interests in mathematics broadened and he began to work on hyperbolic geometry, probabilistic geometry and the algebra of functions.
This is an attractively written systematic exposition of the basic probabilistic methods of congestion theory.
The algorithm relies on probabilistic modeling of data and seeks idealization that has a maximal likelihood.
But the same comment applies in any situation we think of as probabilistic (either the coin will come down heads or it won't).
Given that we exist in a probabilistic universe, one cannot say that anything absolutely will happen.
Plant fate maps are thus more probabilistic and are based on indirect methods.
The time to resume operations is a key datum in probabilistic risk assessment.
Indeed, agent causation is consistent with its being the case that probabilistic laws of nature apply as thoroughly to human beings and their behavior as such laws apply to anything else.
Extrapolations are logical and centered on lessons to be learned, rather than based on statistical, probabilistic rules.