dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning

Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira, Denis Deratani Mauá, Fábio Gagliardi Cozman

Abstract: We present dPASP, a novel declarative probabilistic logic programming framework that allows for the specification of discrete probabilistic models by neural predicates, relational logic constraints...