Ontology and AI Paradigms
Roman Krzanowski, Paweł Jan Polak · 2022
Ontologies of the real world that are realized, internally, by AI systems and human agents are different. We call this difference an ontological gap. The paper posits that this ontological gap is one of the reasons responsible for the failures of AI, in realizing Artificial General Intelligence (AGI) capacities. Moreover, the authors postulate that the implementation of the biosemiotics perspective and a subjective judgment in synthetic agents would seem to be a necessary precondition for a synthetic system to realize human-like cognition and intelligence. The paper concludes with general remarks on the state of AI technology and its conceptual underpinnings.