A reactive cognitive architecture based on natural language processing for the task of decision-making using a rich semantic

The field of cognitive architectures is rich of approaches featuring a wide range of typical abilities of human mind, like perception, action selection, learning, reasoning, meta-reasoning and others. However, those leveraging Natural Language Processing are quite limited in both domain and reasoning capabilities. In this work, we present a cognitive architecture called CASPAR, based on a Belief-Desire-Intention framework, capable of reactive reasoning using a highly descriptive semantic made of First Order Logic predicates parsed from natural language utterances.