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As is known, AGI (Artificial General Intelligence), unlike AI, should operatewith meanings. And that's what distinguishes it from AI. Any successful AIimplementations (playing chess, unmanned driving, face recognition etc.) do notoperate with the meanings of the processed objects in any way and do notrecognize the meaning. And they don't need to. But for AGI, which emulateshuman thinking, this ability is crucial. Numerous attempts to define theconcept of "meaning" have one very significant drawback - all such definitionsare not strict and formalized, so they cannot be programmed. The meaning searchprocedure should use a formalized description of its existence and possibleforms of its perception. For the practical implementation of AGI, it isnecessary to develop such "ready-to-code" descriptions in the context of theiruse for processing the related cognitive concepts of "meaning" and "knowledge".An attempt to formalize the definition of such concepts is made in thisarticle.

Existence and perception as the basis of AGI (Artificial General Intelligence)