The scientific approach to AI is not fundamental
• A mature science is defined unambiguously. So, what is the foundation of Artificial Intelligence? What is the definition of intelligence? What is the definition of Semantics / meaning?
• A mature (technical) science is based on a natural foundation. For example, the science of electricity is based on the natural phenomenon of a flow of electrically charged particles. So, what is the natural foundation of AI and knowledge technology?
• A mature science integrates all its disciplines. So, why are all AI disciplines separate "islands" then. Why is e.g. Ontology (automated reasoning) incompatible with Natural Language Processing (NLP)? Why do scientists fail to integrate them to: reasoning in natural language? Why don't they have one common foundation? (Ontology is based on formal language and NLP on natural language.)
The fundamental approach of Thinknowlogy
• Thinknowlogy is designed according to a definition of intelligence;
• Thinknowlogy is based on a natural foundation, by deriving its intelligence from a natural source: There are rules of intelligence contained within grammar, explained in chapter 2 of the design paper. Thinknowlogy is designed to utilize this natural source of intelligence, in order to create intelligence through natural language in software;
• Proof of the pudding: Thinknowlogy integrates several disciplines seamlessly, by which it has results which no AI method can deliver. (See list on my home page.)
Download the fundamentals paper:
• A fundamental approach to AI.pdf (date: May 21, 2013)