Mind Mapping and Artificial Intelligence

Book Description

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 Jos 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.

中文：

书名：思维导图与人工智能

在不久的将来，我们将看到各种AI应用程序的开发和使用有所增加。一些更有前景的领域将是金融、医疗保健、物联网、制造业、新闻和网络安全。这些应用程序中的许多都会生成大量复杂的信息。自然语言理解是最清楚的例子之一。传统的可视化复杂信息的方法，即线性文本，网页和基于超链接的应用程序，存在严重的生产力问题。用户需要大量时间来可视化信息，并且在查看结果的全貌方面存在问题。思维导图可能是减少这些传统可视化复杂信息方式固有问题的唯一方法。

大多数人对思维导图的优势或传统可视化复杂信息的方式所产生的问题一无所知。可视化人工智能的目标是向读者介绍思维导图，介绍使用传统方法可视化复杂信息的问题，并介绍思维导图自动化及其集成到NLU等人工智能应用程序中。

随着人工智能的更多应用在不久的将来发展，对生成的信息的可视化改进的需求将成倍增加。信息过载也将很快发生在人工智能应用程序中。这将削弱使用人工智能的优势。作者Jos Maria Guerrero是思维导图和可视化技术的长期专家。在本书中，他向读者介绍了一种称为MindManager的技术，该技术可以大大减少与人工智能软件生成的复杂信息的解释相关的问题。