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2.4.1. Autonomy / independently

In the definition of natural intelligence, the word “independently” is used. So, we need to define that word – or actually the word “autonomy” – as well:

An autonomous system relies on the consistency of a natural source, or a consistent artificial source like GPS (Global Positioning System). So, an autonomously intelligent system relies on the consistency of a natural source of intelligence.

In contrast, current information systems rely on artificial sources of intelligence, like semantic vocabularies, ontology databases and statistics. Only Thinknowlogy uses a natural source of intelligence: grammar, or more accurate: (Natural Laws of) Intelligence embedded in Grammar.

Scientists have no clue how nature works in regard to intelligence and language. So, they implement "something" that looks like nature. But they have no proof that nature works that way. “Inspired by nature”, scientists in this field are engineering specific solutions to specific problems, while a science deliver generic solutions. So, I know that their approach in fundamentally wrong.

The "scientific" approach is comparable to an old-fashioned car, in which the driver needs to operate most functions of the car manually, and in which the driver needs to navigate him/herself to an unknown address. My fundamental approach is comparable to a self-driving car, in which more and more functions are automated. It is based on the logic of language, which is a natural – and thus a consistent – source of intelligence.