概率逻辑
代表(政治)
接口
计算机科学
人工智能
特征(语言学)
可能性理论
定性推理
学习理论
演绎推理
认识论
认知科学
数学
心理学
模糊逻辑
数学教育
模糊集
政治
法学
哲学
语言学
政治学
计算机硬件
作者
Didier Dubois,Henri Prade
标识
DOI:10.1016/j.ijar.2023.109028
摘要
Possibility theory stands halfway between logical and probabilistic representation frameworks. Possibility theory, as a setting for handling epistemic uncertainty, may have a qualitative or a quantitative flavor depending on the way conditioning is defined. In particular, qualitative possibility theory is totally compatible with classical logic, while quantitative possibility theory is related to statistics. This feature suggests the possibility theory setting as an interesting candidate for interfacing reasoning and learning. The potential of the possibilistic representation framework for reasoning, explanation and learning tasks is particularly highlighted.
科研通智能强力驱动
Strongly Powered by AbleSci AI