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Chatbots, virtual assistants and robots ('bots' for short) produce grammatically correct sentences. But they are unable to reason logically in natural language, because they are lacking natural intelligence.

First, the basics of natural language:

Grammar provides the general structure of separate words, by which the words form a sentence. And the laws of intelligence – that are embedded in grammar – provide the logical structure of separate words and separate sentences, by which the words and sentences make sense.

However, scientists fail to understand natural intelligence

Scientists fail to define intelligence as a set of natural laws. Therefore, they fail to add natural intelligence to bots. As a consequence, bots are lacking natural intelligence: Either they are limited to programmed dialogues, or the sentences they produce don't make sense.

I have a solution for the long term

I have knowledge, experience, technologies and results that no one else has. I am probably the only one in the world who has defined intelligence as a set of natural laws. And I know how to implement it in software. However, my solution (open source) is in direct conflict with the scientific view on the origin of natural intelligence, natural language and laws of nature.

I am using fundamental science instead of cognitive science:

• Autonomous reasoning requires both intelligence and language;
• Intelligence and language are natural phenomena;
• Natural phenomena obey laws of nature;
• Laws of nature (and logic) are investigated using fundamental science.

Using fundamental science, I gained knowledge and experience that no one else has:

• I have defined intelligence in a natural way;
• I have discovered a logical relationship between natural intelligence and natural language, which I am implementing and publishing as open source software;
• And I defy anyone to beat the simplest results of my CNL reasoner in a generic way: from natural language, through algorithms, to natural language.

The Laws of Intelligence embedded in Grammar are demonstrated by:

Programming in natural language;
Reasoning in natural language:
      • drawing conclusions (more advanced than scientific solutions),
      • making assumptions (with self-adjusting level of uncertainty),
      • asking questions (about gaps in the knowledge),
      • detecting conflicts and some cases of semantic ambiguity,
      • displaying of justification reports for the self-generated knowledge;
Multilingualism, proving: Natural languages have one common origin.

The invalidation of the theory of evolution as the explanation for the origin of intelligence, language and laws of nature:

• Despite centuries of exhaustive research, the theory of evolution still hasn't provided a satisfactory explanation for the origin of intelligence, language and laws of nature. Let alone, how they are related;
• According to the biblical world view, God has created laws of nature – including laws of intelligence – to make his creation run like clockwork. Being based on (Natural Laws of) Intelligence embedded in Grammar, only Thinknowlogy implements the intelligent function of words like definite article “the”, conjunction “or”, possessive verb “has/have” and past tense verbs “was/were” and “had”. Other Controlled Natural Language (CNL) reasoners are limited to sentences with present tense verb “is/are”. They don't accept the words mentioned above.

Thinknowlogy 2017r2

will be published at the end of this month. It will include the second part of an internal redesign. See my planning for the other planned publications. Follow this project on Twitter, subscribe to project updates on SourceForge, subscribe to project updates on GitHub or receive an email when a new version is available.


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God has created laws of nature to make his creation run like clockwork. It includes: laws of intelligence embedded in grammar. Thinknowlogy implements these natural laws of intelligence in software.