Abnormal Predicates: Learning Categorical Defaults from Probabilistic Rules
Rose Khan, Vaishak Belle · 2025
Learning defaults is a longstanding goal in the field of knowledge representation and reasoning. We provide a novel method for learning defaults by way of introducing a new predicate: the abnormal predicate, which explicitly covers all the exceptions to a rule, thus forming a default theory. Our proposed method for learning defaults is sound and complete for all rule-exceptions, and can be extended for use on other frameworks.