Ontologies are just defining what certain category, words, and entity types mean. Commonly used in NLP for data representation (“facts”/triples/etc.) in knowledge graphs and other places where the definition of an ontology helps provide structure.
This doesn’t have anything to do with AGI or brains. They are typically created or tuned by humans and then models fit/match/resolve entities to match the ontology.
This doesn’t have anything to do with AGI or brains. They are typically created or tuned by humans and then models fit/match/resolve entities to match the ontology.