Abstract. Non-Axiomatic Logic (NAL) is designed for intelligent reasoning, and can be used in a system that has insufficient knowledge and resources with respect to the problems to...
For a long time people have been trying to develop probability theory starting from `finite' events rather than collections of infinite events. In this way one can find natura...
Recent results in the foundations of probability theory indicate that a conditional probability can be viewed as a probability attached to a mathematical entity called a measure-f...
The perception-based theory of probabilistic reasoning which is outlined in this paper is not in the traditional spirit. Its principal aim is to lay the groundwork for a radical e...
Logic and probability theory have both a long history in science. They are mainly rooted in philosophy and mathematics, but are nowadays important tools in many other fields such...
Kolmogorov’s setting for probability theory is given an original generalization to account for probabilities arising from Quantum Mechanics. The sample space has a central role ...
Few people use the probability theory in order to achieve image segmentation with snake models. In this article1 , we are presenting an active contour algorithm based on a probabi...