Springer - Social Simulation of COVID-19 with AI in Japan

Explore the intersection of artificial intelligence and epidemiology with this specialized text from Springer. This book focuses on the social simulation of COVID-19 within the specific context of Japan, providing a deep look into how modern technology can model complex human behaviors during a global health crisis. The content covers multi-agent simulation and multi-layered AI simulation techniques to understand societal responses. By utilizing deep learning-based modeling and advanced computational methods, the text provides a framework for studying how infectious diseases move through structured populations. This resource is designed for professionals and researchers in computer science, AI, and machine learning who are interested in how data-driven models can predict and analyze real-world social phenomena. It offers a technical perspective on using AI to navigate the complexities of public health and social dynamics.