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Menno Mafait
  • Male
  • Netherlands
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Menno Mafait's Page

Profile Information

Short Bio:
Thinknowlogy - the world's only integrated knowledge technology.

Scientists fail to integrate knowledge technology, because their approach is not fundamental:

AI / knowledge technology is not scientific:

If the foundation of a scientific field is correct, it integrates all its disciplines. However, the disciplines of AI / knowledge technology are incompatible. Thus, AI ​​is not fundamental, and therefore not scientific.

Example:

Ontology (automated reasoning) and Natural Language Processing (NLP) are incompatible: Ontology is based on formal language and NLP is based on natural language. And therefore, science fails to integrate both to: reasoning in natural language.

Only Thinknowlogy integrates several AI / knowledge technology disciplines seamlessly.
My Website or LinkedIn Profile (URL):
http://mafait.org
Field of Expertise:
Artificial Intelligence, Other
Years of Experience in Analytical Role:
15
Professional Status:
Technical, Other
Interests:
Networking, New Venture
Your Company:
Thinknowlogy
Industry:
Artificial Intelligence / Natural Language Processing

Menno Mafait's Blog

Unleashing Intelligence through natural language (Part 4 - Data, Information, Knowledge and Wisdom)

Posted on September 20, 2013 at 2:00am 0 Comments

In this series I reveal Natural Laws of Intelligence contained within grammar, that can be utilized to unleash intelligence through natural language in software. These laws are extremely simple, but still undiscovered by scientists.



Experts in knowledge technology should be familiar with the DIKW Hierarchy (Data, Information, Knowledge, Wisdom):…

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Unleashing Intelligence through natural language (Part 3 - Autonomously generated assumptions - with self-adjusting level of uncertainty)

Posted on June 19, 2013 at 10:39pm 0 Comments

In this series I reveal and explain rules of intelligence contained within grammar, that can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.



To be able to explain making assumptions, we need to understand (the difference with) drawing conclusions first:

• Conclusions are drawn straight ahead - top-down - like in: Given "John is a father." and "…

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Unleashing Intelligence through natural language (Part 2 - Autonomously generated conclusions)

Posted on April 15, 2013 at 2:48am 0 Comments

In this series I reveal rules of intelligence contained within grammar, and explain how they can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.



Under certain conditions, three types of conclusions that can be generated autonomously:



1) Specification substitution conclusion:

• Given "John is a father" and "A father is a man";

• Because of the common word…

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Unleashing intelligence through natural language (Part 1 - Autonomously generated questions about gaps in the knowledge)

Posted on March 9, 2013 at 1:30am 0 Comments

This is the first of a series of blogs in which I will reveal and explain rules of intelligence contained within grammar, that can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.



Current state:

Systems generating questions already exists. However, their questions are useless, because the original sentence - from which the question is derived - already holds to the answer.



A…

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