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1.1. Fiction, engineering and science

The field of AI and NLP is partly fiction: The belief that natural intelligence will emerge / evolve “by itself”, as if there is magic or a supernatural power involved. Magic, “by itself” and supernatural powers are not scientific. They belong to the realm of fairy tales and religions.

The majority of this field is engineering:

Scientists fail to define intelligence in a natural way (as a set of natural laws). Therefore, AI is limited to engineering: specific solutions to specific problems. Scientists are for example ignorant of the natural function in language of verb “has/have”. Instead of implementing this natural function in artificial systems (a generic solution), scientists teach us to hard-code knowledge containing this verb directly into a reasoner or a knowledge base, like: has_son(john,paul). This is engineering (a specific solution to a specific problem) instead of science (a generic solution).

Only a small part of this field is generic, and therefore scientific: Predicate Logic describes the function of verb “is/are” in a generic way, the way nature works. Proof: A science integrates its involved disciplines. And Controlled Natural Language reasoners integrate reasoning and natural language in regard to verb “is/are”. However, Predicate Logic doesn't include for example the natural function of verb “has/have”, nor the natural function of any past tense verb.

Lacking a natural definition of intelligence, this field is also lacking another sign of maturity: In maturity fields, quality standards are defined and implemented, to preserve and guarantee the quality of products. However, in the field of AI and NLP, there is no foundation defined that guarantees to implement natural intelligence in artificial systems. Let alone, a quality standard to guarantee that the natural meaning (natural structure of knowledge) is preserved during each step of knowledge processing.