Relaxing Independent and Identically Distributed Assumptions in Neurosymbolic AI through Logical Expressivity

Neurosymbolic methods require relaxing the Independent and Identically Distributed (IID) assumptions of classical machine learning, which can be achieved by analyzing the expressivity of logical languages used to represent background knowledge.