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Explores functional equivalence inside OpenNARS for Applications (ONA). The paper modifies ONA so equivalence can be derived from shared functional consequences, then uses worked examples to show transfer across perceptually different but functionally similar situations, including a language-learning scenario relating spoken words, written words, and objects.
This is a NARS/ONA source for functional abstraction, transfer, and language-related reasoning under the NARS paradigm. It supports the MeTTa-NARS Deep Dive discussion of ONA-derived control and NARS-style learning/reasoning.