AI and NLP – a fundamental approach
(the downfall of the evolution theory as the assumed origin of intelligence and language)
Download the fundamental document:
• AI and NLP – a fundamental approach.pdf (date: August 29, 2015)
Around the year 1956, the field of Artificial Intelligence (AI) and knowledge technology was started. However, there are four reasons to believe that the current approach to AI and knowledge technology has a fundamental problem:
1. Intelligence and language are natural phenomena. Natural phenomena obey laws of nature. And laws of nature are investigated using basic or fundamental science, while the field AI and knowledge technology is researched using behavioral or cognitive science.
When the results using cognitive science are implemented in machines, it delivers a simulation of behavior – focused on user experience – while fundamental science delivers an artificial implementation of natural laws. To illustrate: The current approach to AI and knowledge technology delivers a flight simulator – user experience – rather than an airplane. A flight simulator doesn't leave the room, while an airplane obeys the laws of physics in regard to the essence of aviation (lift, weight, thrust and drag);
2. In addition, the field of AI and knowledge technology still has no fundamental (=natural) and deterministic (=implementable) definition, 60 years after its start, by which this field has no foundation in nature;
3. A science integrates its disciplines. However, the field of AI and knowledge technology fails to integrate (automated) reasoning and natural language. In other words, this field has a blind spot:
• Reasoners (like Prolog) are able to reason, but their results – derived knowledge – can't be
expressed in readable and automatically constructed sentences;
• Chatbots and Virtual (Personal) Assistants may well produce understandable sentences,
but they are unable to reason logically. More over, they are only able to select a human-
written sentence in which they fill-in a user-written keyword;
• Controlled Natural Language (CNL) systems are very limited in integrating both disciplines;
4. I am applying the scientific method, while researching the way nature works in regard to intelligence and meaning. The techniques I am developing have – in my opinion – a higher degree of integration of both disciplines than the techniques taught by science.
What if intelligence can be defined by laws of nature? What if language appears to obey natural laws of intelligence? If so, then this field should be researched using fundamental science. Wouldn't a fundamental approach – based on laws of nature and researched using fundamental science – speedup progress in the field of AI and knowledge technology?