Whereas

epistemic probability promises accurate foreknowledge through "quantitative knowledge of the probability of every possible outcome," aleatory uncertainty constitutes "neither entire ignorance nor complete and perfect information, but partial knowledge" [Knight, 1921, p.

The article demonstrates that the distinction between objective chance and

epistemic probability can be drawn, and operationalized, at every level of description.

Uncertainty in an individual element of y, say, the element j can be quantified by an

epistemic probability distribution with the density [f.

Epistemic probability distributions assigned to elements of fire risk are specified and propagated though models of the multi-attribute selection by means of Monte Carlo simulation.

There is an important difference between giving each person the greatest equal

epistemic probability of surviving and giving each the greatest equal chance of surviving.

In the framework of

epistemic probability theories, two different security policies can be identified: In line with the "logical theory," security policies turn into a form of risk management.

The difficulty is supposed to be that such a belief must have a fairly high

epistemic probability (lower than 1); and such probabilities are always, McGrew thinks, relative probabilities.

What I have in mind is the view that chance is just

epistemic probability of a particular sort: consider two systems A and B, which differ with respect to the probability pertaining to A of some future event type (say a collapse into a state [Psi] at t).

This paper argues for a doctrine it calls "infallibilism," which is stipulated to mean that If S knows that p, then the

epistemic probability of p for S is 1.

Another is the possibility that each person has an

epistemic probability measure, hence a theoretical state, which is the measure of that person's ignorance.

In the middle seven chapters of the book, Plantinga applies the conceptions of warrant and knowledge thus articulated to a series of central and traditional domains over which we want to say we exercise some cognitive mastery: knowledge of the self and of other persons, memory and knowledge of the past, testimonial knowledge, perceptual and a priori knowledge, and finally, a discussion of induction and

epistemic probability.

Once more, Alston takes a keen-edged scalpel to various central issues such as externalism versus internalism, reliabilism, foundationalism, coherence, truth-conduciveness, epistemic virtue, skepticism, contextualism (though Alston means something different by it than the view now widely disputed in the literature), and

epistemic probability.