Rational Nonmonotonic Reasoning
Artificial Intelligence
2013-04-10 v1
Abstract
Nonmonotonic reasoning is a pattern of reasoning that allows an agent to make and retract (tentative) conclusions from inconclusive evidence. This paper gives a possible-worlds interpretation of the nonmonotonic reasoning problem based on standard decision theory and the emerging probability logic. The system's central principle is that a tentative conclusion is a decision to make a bet, not an assertion of fact. The system is rational, and as sound as the proof theory of its underlying probability log.
Cite
@article{arxiv.1304.2361,
title = {Rational Nonmonotonic Reasoning},
author = {Carl Kadie},
journal= {arXiv preprint arXiv:1304.2361},
year = {2013}
}
Comments
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)