New book "Mind Mapping and Artificial Intelligence"

1. Mind Mapping and Artificial Intelligence
Book for professional users of the mind mapping technique

2. Cover page

3. How to read this book
• Try to purchase both the print and the eBook
versions of the book.
• If it is impossible, then try the eBook version only.
• The main reason is because the book contains
numerous references, many of them in video or
HTML5 formats and using the eBook version is
almost a must.
• Total number of references: 1,301.
• References including a URL: 902.

4. Mind map of semantic analysis using IBM Watson NLU

5. Main ideas
1. Mind mapping (MM) is the best we can do using human
intelligence.
2. In the future, there will be nothing better than MM using human
intelligence.
3. Artificial Narrow Intelligence (ANI) has reached the level of human
intelligence for specific tasks.
4. Artificial General Intelligence (AGI) will reach the level of human
intelligence to solve general complex problems.
5. Artificial Superintelligence (ASI) will surpass human intelligence in
solving all sort of problems, even ill-posed ones.

6. Goals oh this book
• To introduce the MM technique.
• To introduce the MindManager software ecosystem.
• To describe the scientific basis of the MM technique,
helping to avoid it as a pseudoscience.
• To introduce the Neuroscience of MM and AI.
• To introduce the history of modern AI.
• To introduce ANI, AGI, and ASI.
• To introduce the generic relation between MM and AI.
• To introduce de possible applications of AI in MM and
of MM in AI from a critical thinking point of view.

7. Content
• Introduction to mind mapping (MM)
• How to work with MM (MindManager)
• Introduction to Neuroscience for MM and AI
• Advantages of working with MM
• The history of modern AI
• Artificial Narrow Intelligence (ANI)
• Artificial General Intelligence (AGI)
• Artificial Superintelligence (ASI)
• Some examples of MM and AI applications
• Appendices

8. Chapter 1. What is mind mapping
• Introduction to the mind mapping technique
• Some definitions
• How to read a mind map
• Why do we need mind mapping?
• Surveys. What do users of mind mapping think
about this technique?
• Mind mapping literature reviews
• Mind mapping theses
• Mind mapping studies an experiments

9. Chapter 2. How to work with mind mapping software
• Mind mapping software
• The MindManager ecosystem
• MindManager desktop programs
• MindManager apps
• Services
• Ways of working with MindManager
• Creating mind maps
• MindManager automation
• Learning mind mapping and MindManager

10. Chapter 3. Fundamentals of neuroscience for mind mapping
• Introduction
• The eye
• The primary visual pathway
• The eye movements
• Memory
• The central executive and the prefrontal cortex
• Sensation, attention, and perception
• Human neural networks, the human conectome
• Basal ganglia

11. Chapter 4. Why mind mapping is a vital software tool
• Introduction
• Advantages attributable to both analog and
digital mind mapping
• Advantages attributable only to digital mind
mapping

12. Chapter 5. The history of modern artificial intelligence
• Introduction to modern artificial intelligence
(AI)
• Technical components of AI
• Social components of AI
• Evolution of modern AI
• Milestones of modern AI

13. Chapter 6. Artificial Narrow Intelligence (ANI)
• Introduction to ANI
• Modern ANI
• Some examples of real and productive ANI
• ANI API’s
• Applications of mind mapping in ANI

14. Chapter 7. Artificial General Intelligence (AGI)
• Introduction
• The path to AGI
• Artificial Superintelligence (ASI)
• The Artificial Intelligence Singularity
• The risks of AGI and ASI
• Applications of mind mapping in AGI and ASI

15. Chapter 8. Examples
• Introduction
• Analysis of speech and sound recordings
• AI project management
• Decision trees
• Translation of mind maps
• Creation of mind maps of scientific articles
• Mind maps from NLU IBM Watson
• Mind maps for recommender systems
• Knowledge mind maps
• Hospital discharge instructions
• Voice-generated mind maps
• Mind-generated mind maps
• Brainstorming with mind mapping
• Color Harmonization
• Mind mapping + AI + extended reality (XR)

16. Appendices
• Surveys
• The scientific method
• Experiments
• Differences between surveys and experiments
• Case studies
• Literature reviews
• How to do better mind mapping experiments
• A short history of human brain imaging

17. Some references
• Master class Mind Mapping master class
• Slideshare presentation IBM Watson NLU + MM automation
• HTLM5 example mind map IBM Watson NLU + MM
automation
• HTML5 example mind map Sample mind map in HTML5
• Book chapter Mind mapping in AI for data democracy
• Book Mind Mapping and Artificial Intelligence
• Mind mapping consulting