Mind Mapping and Artificial Intelligence - Brossura

Guerrero

Brossura

ISBN 10: 0128201193 ISBN 13: 9780128201190

Casa editrice: Academic Press, 2022

Riassunto

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, 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

Su questo libro

Informazioni sull?autore

José María Guerrero is a consultant in software development and mind mapping. He holds a Degree in Chemical Engineering from Instituto Químico de Sarriá, Barcelona, Spain and a BSc in Mathematics from the Open University, U.K. He was CEO of Infoseg S.A. Through his career he has been a lecturer, IT consultant, programmer, and developer of a variety of commercial software applications in fields like Quantum Chemistry, Artificial Intelligence in Medical Diagnosis, Logistics Control, Management of Hospital Admissions, Animal Health Control, Insurance, Actuarial, Banking, Pharma eCTD, among many others. He has been a pioneer in the development of mind mapping automation, and in the use of the mind mapping technique for the development of Artificial Intelligence applications. He is the author of the book Introduction to the Applications of Mind Mapping in Medicine,
iMedPub, 2015; the book Introducción a la Técnica de Mapas Mentales con MindManager, UOC, 2016; a chapter on Data Visualization in Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence, edited by Batarseh and Chang, Academic Press, 2017; and of a chapter in Data Democracy, edited by Batarseh and Chang, Academic Press, 2020. José has been working in software development since 1974, AI since 1980, mind mapping since 1987, and mind mapping automation since 2005.

Dalla quarta di copertina

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, 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 to see the whole picture of the results. Mind mapping is probably the only way of reducing the problems inherent to 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 Visualization in Artificial Intelligence is to provide readers with an introduction to mind mapping, 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 like 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 introduces readers to a technique called MindManager that can considerably reduce the problems associated with the interpretation of complex information generated by Artificial Intelligence software.

Dettagli dell?edizione

• Editore: Academic Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0128201193
• ISBN 13: 9780128201190
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 252
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile