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Fundamental
1. The current approach to AI and NLP – and how it fails
1.1. Fiction, engineering and science
1.2. Evolutionary intelligence
1.3. Autonomous systems
1.4. Artificial / Deep-learning Neural Networks
1.4.1. Deep-learning networks applied to natural language
1.5. Fundamental flaw in NLP
1.5.1. Blind spot in NLP
1.5.2. Fundamental flaw in the Turing test
1.6. The limits of science
1.6.1. Predicate Logic
1.6.2. Controlled Natural Language
1.6.3. The function of word types in reasoning
2. The fundamental approach of Thinknowlogy
2.1. Natural intelligence
2.2. (Natural Laws of) Intelligence embedded in Grammar
2.2.1. Example: Autonomous generation of questions
2.2.2. Improve your ontology system towards a grammar-based approach
2.3. The algebra of language
2.4. Intelligence – more into depth
2.4.1. Autonomy / independently
2.4.2. IQ test
2.5. Noam Chomsky’s Universal Grammar theory
2.6. Versatility and intelligently designed systems
2.7. Other sources of intelligence
3. The theory of evolution is not scientific
3.1. The theory of evolution is a religion
3.2. Overwhelming evidence...
3.3. If you do not believe in cows...
3.4. Mona Lisa
3.5. Self-organizing systems
3.6. Complex systems
3.7. Super-intelligence (machines surpassing human intelligence)
3.7.1. Spreading fear for super-intelligence
3.7.2. Free will and morality
Testimony: I don't have this wisdom of myself
Appendix: Genesis hidden in the Chinese language
Design
The Thinknowlogy Concept
The Algebra and Logic of Natural Language
A Definition of Generalization / Specification
A Relational Specification
Collections
A Collection of Specifications
A Collection of Relations
A Collection of Generalizations
Assignments
A Specification Assignment
A Generalization Assignment
Assignments and grammatical Past Tense
Selections
Drawing Conclusions Independently
Specification Substitution Conclusions
Compound specification substitution conclusions
Possessive Reversible Conclusions
Making Assumptions
Generalized Assumptions
Possessive Conditional Specification Assumptions
Asking Independent Questions
Questions to ask to obtain more specific information
Finding Causal Relations
Semantic ambiguity
Autonomous semantic disambiguation
Building the Knowledge-Structure
The Creation of a Generalization Specification
The Creation of New Words
The Creation of a Specification Connection
The Creation of a Relation Connection
The Creation of Collections
The Creation of an Assignment
The Creation of a Specification Assignment
The Creation of a Generalization Assignment
The Creation of a Selection
The Execution of Selections
Dialogues
The Grammar
Reading a Sentence
Acceptation of Recognized Sentence Structures
A Complete Sentence Answer
Asking Questions Independently
Applications
Programming in natural language
Reviewing and Correcting Texts and Specifications
The Automation of Summaries
Translation Programs that Understand the Context
A Search Engine that Answers Questions
A Digital Teacher or Independent Studies
Screenshots
Programming in natural language
Reasoning in natural language
Dutch
Spanish
French
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Challenge
Problem description 1: Reasoning in the past tense
Problem description 2: Possessive reasoning
Problem description 3: Generation of questions
Generally accepted workaround
The rules of this challenge
Block 1: Direct conversions
Block 2: Indirect conversions
Block 3: Grouping of knowledge
Block 4: Past tense reasoning
Block 5: Detection of a conflict and generation of a question
Block 6: Archiving of knowledge
Screenshots of this challenge
Planning
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Thinknowlogy 2018r1

will be published in May 2018, which will add the Chinese language. 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.


Join my Fair Science networking group on LinkedIn to support a fair practice of science, and/or my Fair Science • Artificial Intelligence (AI) and knowledge technology (NLP) group, which is dedicated to a fair practice of Artificial Intelligence and knowledge technology. Or send me a LinkedIn invitation.


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.