Applying Computational Intelligence for Social Good

Applying Computational Intelligence for Social Good
Author :
Publisher : Elsevier
Total Pages : 288
Release :
ISBN-10 : 9780323885454
ISBN-13 : 0323885454
Rating : 4/5 (454 Downloads)

Book Synopsis Applying Computational Intelligence for Social Good by :

Download or read book Applying Computational Intelligence for Social Good written by and published by Elsevier. This book was released on 2024-01-14 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: There’s no denying that CI is on its way to change the world as we know it. There are various social domains such as Environment, Education, Information Security, Healthcare, Crisis Response, Human Behavior and Bias, Disaster Management, Industrial management and most recently Epidemics and Outbreaks are highly in need of Intelligent Technologies to address their issues. This book presents the views on how Computational Intelligent and ICT technologies can be applied to ease or solve social problems by sharing examples of research results from studies of social anxiety, environmental issues, mobility of the disabled, and problems in social safety. As with most changes in life, there will be positive and negative impacts on society as artificial intelligence continues to transform the world, we live in. With the idea of future scope in research, the book focuses on the challenges that might be faced (and we should be thinking about how to address them now) as well as several of the positive impacts artificial intelligence will have on society. Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation for solving socially relevant problems Focuses on Forecasting applications, Human Behavior and Critics response analysis in social forums, Healthcare monitoring Systems, Disaster Management, Industrial management, and most recently, Epidemics and Outbreaks Brings together many different aspects of the current research on intelligence technologies, such as neural networks, support vector machines, fuzzy logic, and evolutionary computation


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