QPN中的折衷剪枝
Pivotal Pruning of Trade-offs in QPNs
Utrecht University（乌得勒支大学）；University of Liverpool（利物浦大学）
摘要：
定性概率网络已经被设计用于以定性的方式进行概率推理。由于其粗糙的表示细节水平，定性概率网络不提供解决权衡，并且通常在推理时产生模糊的结果。我们提出了一个算法，计算更有见地的结果，未解决的权衡。该算法基于使用枢轴放大权衡并识别有助于解决这些问题的信息的想法。
英文摘要：
Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilistic networks do not provide for resolving trade-offs and typically yield ambiguous results upon inference. We present an algorithm for computing more insightful results for unresolved trade-offs. The algorithm builds upon the idea of using pivots to zoom in on the trade-offs and identifying the information that would serve to resolve them.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
