medium 发表于 2025-3-30 11:14:32
http://reply.papertrans.cn/89/8839/883849/883849_51.pngmyopia 发表于 2025-3-30 13:01:50
http://reply.papertrans.cn/89/8839/883849/883849_52.pngWernickes-area 发表于 2025-3-30 17:31:10
Belief Functions and Degrees of Non-conflictnessdle that, degrees of non-conflictness and full non-conflictness are defined. The family of these degrees of non-conflictness is analyzed, including its relation to full non-conflictness. Further, mutual non-conflictness between two belief functions accepting internal conflicts of individual belief fLiving-Will 发表于 2025-3-30 22:50:51
On Expected Utility Under Ambiguitytive parameter from the unit interval with the semantics: the higher the aversion, the higher the coefficient. On three examples, we illustrate the approach is consistent with the experimental results observed by Ellsberg and other authors.我说不重要 发表于 2025-3-31 02:28:44
http://reply.papertrans.cn/89/8839/883849/883849_55.pngBmd955 发表于 2025-3-31 05:40:57
http://reply.papertrans.cn/89/8839/883849/883849_56.png灯丝 发表于 2025-3-31 11:35:30
On the Antecedent Normal Form of Conditional Knowledge Basesequivalences. In this paper, we propose the notion of antecedentwise equivalence of knowledge bases. It identifies more knowledge bases as being equivalent and allows for a simpler and more compact normal form than previous proposals. We develop a set of transformation rules mapping every knowledge背带 发表于 2025-3-31 17:17:24
Revisiting Conditional Preferences: From Defaults to Graphical Representations. is more plausible than . .”, which is a standard way of understanding the default rule “if . then generally .”. A set of such defaults translates into a set of constraints that can be represented in the setting of possibility theory. The application of a minimum specificity principle, natural when侵略主义 发表于 2025-3-31 17:31:11
http://reply.papertrans.cn/89/8839/883849/883849_59.pngRLS898 发表于 2025-4-1 01:45:22
Interpretability of Gradual Semantics in Abstract Argumentationcs which satisfies this property can also be computed by aggregating the impact of the other arguments on it. This result allows to provide, for each argument in an argumentation framework, a ranking between arguments from the most to the least impacting ones w.r.t. a given gradual semantics.