1. The current state of AI and knowledge technology
In the years before the first flight of the Wright brothers, aviation wasn't scientific yet, because the attempts were “inspired by nature”, using feathers, flapping wings, bird suits, and so on:
• YouTube: “Man's Early Flight Attempts”;
• YouTube: “first attempts to fly by man”;
• YouTube: “Death Jump - Franz Reichelt jumps off the Eiffel Tower”.
However, the Wright brothers understood: A machine will only be able to fly if it is based on nature, obeying the Laws of Physics. So, apparently, using laws of nature is a fundamental approach, while being “inspired by nature” isn't.
This situation is illustrative for the current state of AI and knowledge technology:
• This field lacks a unifying, fundamental (=natural) and deterministic (=implementable) definition of intelligence, and the understanding how natural intelligence and natural language are related;
• Without natural definition, this field lacks a natural foundation;
• Without foundation, the techniques developed on AI and knowledge technology are in fact baseless. And without one common (=natural) foundation, its disciplines – like automated reasoning and natural language – can not be fully integrated;
• Being baseless, AI got stuck at a simulation of behavior, and knowledge technology got stuck at keyword level.
Even after 60 years of research (at least 100,000 man years 1), scientists are still unable to convert a sentence like “Paul is a son of John” to “John has a son, called Paul” – and vice versa – in a generic way (=through an algorithm).
Both sentences have the same meaning. So, it must be possible to convert one sentence to the other – and vice versa – as explained in 2.3.2. Fundamental flaw in the Turing test. However, such a conversion requires to understand what natural meaning is. Lacking a natural definition of intelligence, not a single scientific paper supports the mentioned conversion in a generic way (=through an algorithm).
• If problems are fundamental, one needs to repair the foundation. Actually, it is better to remove the old foundation, and to pour a new one;
• If two disciplines have different foundations, they can't be integrated, because a building can only have one foundation. If another foundation would be poured next to an existing one, both foundations will move relative to each other. Then the expanded building – resting on both foundations – will prolapse, and eventually collapse.
Only a fundamental approach – based on laws of nature – will deliver significant progress.
1 60 years times 1,500 researchers on average