Incidence Calculus: A Mechanism for Probabilistic Reasoning
Artificial Intelligence
2013-04-15 v1
Abstract
Mechanisms for the automation of uncertainty are required for expert systems. Sometimes these mechanisms need to obey the properties of probabilistic reasoning. A purely numeric mechanism, like those proposed so far, cannot provide a probabilistic logic with truth functional connectives. We propose an alternative mechanism, Incidence Calculus, which is based on a representation of uncertainty using sets of points, which might represent situations, models or possible worlds. Incidence Calculus does provide a probabilistic logic with truth functional connectives.
Cite
@article{arxiv.1304.3438,
title = {Incidence Calculus: A Mechanism for Probabilistic Reasoning},
author = {Alan Bundy},
journal= {arXiv preprint arXiv:1304.3438},
year = {2013}
}
Comments
Appears in Proceedings of the First Conference on Uncertainty in Artificial Intelligence (UAI1985)