Mind Mapping and Artificial Intelligence
- 1st Edition - October 22, 2022
- Author: Jose Maria Guerrero
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 1 1 9 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 2 4 2 - 5
In the near future, we will see an increase in the development and use of all sorts of AI applications. Some of the more promising areas will be Finance, Healthcare, IoT, Ma… Read more
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Request a sales quoteIn the near future, we will see an increase in the development and use of all sorts of AI applications. Some of the more promising areas will be Finance, Healthcare, IoT, Manufacturing, Journalism, and Cybersecurity. Many of these applications generate a great amount of complex information. Natural Language Understanding is one of the most clear examples. Traditional ways of visualizing complex information, namely linear text, web pages and hyperlink-based applications, have serious productivity problems. Users need a lot of time to visualize the information and have problems seeing the whole picture of the results. Mind mapping is probably the only way of reducing the problems inherent in these traditional ways of visualizing complex information. Most people have no clear idea about the advantages of mind mapping or the problems created by the traditional ways of visualizing complex information. The goal of Mind Mapping and Artificial Intelligence is to provide readers with an introduction to mind mapping and artificial intelligence, to the problems of using traditional ways of visualizing complex information and as an introduction to mind mapping automation and its integration into Artificial Intelligence applications such as NLU and others. As more applications of Artificial Intelligence are developed in the near future, the need for the improvement of the visualization of the information generated will increase exponentially. Information overload will soon also happen in AI applications. This will diminish the advantages of using AI. Author José Maria Guerrero is a long-time expert in mind mapping and visualization techniques. In this book he also introduces readers to MindManager mind mapping software, which can considerably reduce the problems associated with the interpretation of complex information generated by Artificial Intelligence software.
- Provides coverage of the fundamentals of mind mapping and visualization applied to Artificial Intelligence applications
- Includes coverage of the scientific bases for mind mapping for the visualization of complex information
- Introduces MindManager software for mind mapping
- Introduces the author's MindManager toolkit for the readers to use in development of new mind mapping applications
- Includes case studies and real-world applications of MindManager for AI applications, including examples using IBM Watson NLU
Mind mapping practitioners, engineers, software engineers, biomedical engineers, and practitioners and researchers in artificial intelligence interested in mind mapping
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Foreword
- Prologue
- Chapter 1. What is mind mapping
- 1.1. Introduction to the mind mapping technique
- 1.2. Some definitions
- 1.3. How to read a mind map
- 1.4. Why do we need mind mapping?
- 1.5. Surveys. What do users of mind mapping think about this technique?
- 1.6. Mind mapping case studies
- 1.7. Mind mapping literature reviews
- 1.8. Mind mapping theses
- 1.9. Mind mapping studies and experiments
- Chapter 2. How to work with mind mapping software
- 2.1. Mind mapping software
- 2.2. The MindManager ecosystem
- 2.3. MindManager desktop programs
- 2.4. MindManager apps
- 2.5. Services
- 2.6. Ways of working with MindManager
- 2.7. Creating mind maps
- 2.8. MindManager automation
- 2.9. Learning mind mapping and MindManager
- Chapter 3. Fundamentals of neuroscience for mind mapping
- 3.1. Introduction
- 3.2. The eye
- 3.3. The primary visual pathway
- 3.4. The eye movements
- 3.5. Memory
- 3.6. The central executive and the prefrontal cortex
- 3.7. Sensation, attention, and perception
- 3.8. Human neural networks, the human connectome
- 3.9. Basal ganglia
- Chapter 4. Why mind mapping is a vital software tool for the modern worker?
- 4.1. Introduction
- 4.2. Advantages attributable to both analog and digital mind mapping
- 4.3. Advantages attributable only to digital mapping
- Chapter 5. The history of modern artificial intelligence
- 5.1. Introduction to modern artificial intelligence
- 5.2. Technical component of AI
- 5.3. Social component of AI
- 5.4. Evolution of modern AI
- 5.5. Milestones of modern AI
- Chapter 6. Artificial narrow intelligence
- 6.1. Introduction to narrow artificial intelligence
- 6.2. Modern NAI
- 6.3. Some examples of real and productive NAI
- 6.4. NAI APIs
- 6.5. Applications of mind mapping in NAI
- Chapter 7. Artificial general intelligence
- 7.1. Introduction
- 7.2. The path to AGI
- 7.3. Artificial superintelligence (ASI)
- 7.4. The artificial intelligence singularity
- 7.5. The risks of AGI and ASI
- 7.6. Applications of mind mapping in AGI and ASI
- Chapter 8. Examples
- 8.1. Introduction
- 8.2. Analysis of speech and sound recordings
- 8.3. AI project management
- 8.4. Decision trees
- 8.5. Translation of mind maps
- 8.6. Creation of mind maps of scientific articles
- 8.7. Mind maps from NLU IBM Watson
- 8.8. Mind maps for recommender systems
- 8.9. Knowledge mind maps
- 8.10. Hospital discharge instructions
- 8.11. Voice generated mind maps
- 8.12. Mind-generated mind map
- 8.13. Brainstorming with mind mapping
- 8.14. Color harmonization
- 8.15. Mind mapping+AI+extended reality (XR)
- Appendices
- Index
- No. of pages: 258
- Language: English
- Edition: 1
- Published: October 22, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780128201190
- eBook ISBN: 9780128202425
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