Mirabile Dictu: Language Acquisition in the Non-Axiomatic Reasoning System

Complex language is a major factor that separates humans from other intelligent animals. In AI, mainstream opinions favor the use of large language models (LLM) which treat language as a proxy for intelligence. We hold the position a more consistent vision of AGI would imply internal facilities of acquiring, evolving, and utilizing novel language with the same features of a human language. We explore this using the Non-Axiomatic Reasoning System (NARS) and show that it is amenable to the commonly accepted design features of human language and thus remains a candidate as a proto-AGI system.