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1. The current state of AI and knowledge technology
1.1. Science, engineering and fiction
1.2. “Don't become a monkey that learns a trick”
2. Overview of the current approach
2.1. Evolutionary intelligence
2.2. Artificial / Deep-learning Neural Networks
2.3. Knowledge technology
2.3.1. Fundamental flaw in knowledge technology
2.3.2. Fundamental flaw in the Turing test
2.3.3. Predicate Logic
2.3.4. The function of word types in reasoning
2.3.5. Controlled Natural Language
2.3.6. Search engines
3. The fundamental approach of Thinknowlogy
3.1. Natural intelligence
3.2. (Natural Laws of) Intelligence embedded in Grammar
3.2.1. Example: Autonomous generation of questions
3.2.2. Improve your ontology system towards a grammar-based approach
3.3. Algebraic equations of language
3.4. Intelligence – more into depth
3.4.1. Autonomy / independently
3.4.2. IQ test
3.5. Versatility and intelligently designed systems
3.6. Other sources of intelligence
3.7. Summary
4. The theory of evolution is not scientific
4.1. The theory of evolution is a religion
4.2. Overwhelming evidence...
4.3. If you do not believe in cows...
4.4. Mona Lisa
4.5. Self-organizing systems
4.6. Complex systems
4.7. Super-intelligence (machines surpassing human intelligence)
4.7.1. Free will and morality
Testimony: I don't have this wisdom of myself
Appendix: Genesis hidden in the Chinese language
The Thinknowlogy Concept
The Algebra and Logic of Natural Language
A Definition of Generalization / Specification
A Relational Specification
A Collection of Specifications
A Collection of Relations
A Collection of Generalizations
A Specification Assignment
A Generalization Assignment
Assignments and grammatical Past Tense
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
The Grammar
Reading a Sentence
Acceptation of Recognized Sentence Structures
A Complete Sentence Answer
Asking Questions Independently
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
Detection of semantic ambiguity
Programming in natural language
Reasoning in natural language
Beat my system
Generally accepted workaround
The rules of this challenge
Block 1: Conversions
Block 2: Grouping of knowledge
Block 3: Past tense reasoning
Block 4: Detection of a conflict and generation of a question
Block 5: Archiving of knowledge
Screenshots of this challenge
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Fair Science

Thinknowlogy 2016r2

will be published early November. It will have restyled source code and a deep regression test for user Developer. See my planning for the other planned publications. Follow this project by Twitter, SourceForge or by receiving an email.

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.

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.