Naturally, denotation in language is based on connotation in minds and this in turn is based on ontological universals in nature (in natural kinds), which (ontological universals) are vaguely reflected in connotative universals. Hence, denotation is primarily a linguistic function; and connotation is the reflective function of consciousnesses. Ontological universals are the generalities that properly and only belong to existing processes in their many members within groups. Languages are not merely what we directly call so. Metnal notions, feelings, and thoughts on the one hand (all of them in causal matter-energy mixture with brain-body elements), and language representing all sorts of expressed notions and thoughts on the other, are the two type of information engendered by BI. That is, BI information is a group of concatenations of denotatives, based on the concatenations of the respective connotatives. A similar chraracterization of AI information should appear as a result of further discussion, after developing some more background for the same.
You mentioned an important point. Denotation in language is the introduction of mind communication.
Hossein Javadi
Thanks. Behind it I suggest also connotation as a symbolically ideal representation in the mind. This is because pure denotation is accomplished only in language.
https://www.researchgate.net/post/WHY_EXACTLY_THE_WAVE-PARTICLE_DUALITY_Phenomenal_Ontological_Commitment_POC_as_the_Solution
https://www.researchgate.net/post/UNTENABLE_REIFICATION_OF_CONCEPTS_IN_PHYSICS_With_Examples
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Your points are valid and I read an intriguing point that opens up discussions about the potential similarities and differences between AI and human intelligence, as well as the implications for how we understand and develop artificial intelligence systems.
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