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Social Simulation of COVID-19 with AI in Japan
0 - Default Title
Description
In the project, implementing deep learning technologies has enabled access to extensive infection spread data, allowing for machine learning-based predictions. Additionally, agent-based simulation was extensively utilized in this project. Agent-based simulation involves recreating a virtual real-world environment where numerous human-like agents interact dynamically. This approach facilitates the reproduction of complex societal problems and the exploration of potential solutions, which can be fed back into real-world problem-solving.
This book serves as a valuable record of how AI and simulation technologies were applied in response to the unprecedent crisis posed by the COVID-19 in Japan. The insights gained from this endeavor will contribute to preparedness for the next inevitable pandemic.
Product details
- Number of Pages:
- 200
- Release Date:
- 2025-09-27
- Publication Date:
- 2025-09-27
- Publisher:
- Springer
- Languages:
- Original: English
- ISBN10:
- 9819680654
- ISBN13:
- 9789819680658
- GPSR Manufacturer Reference:
- [email protected]
- Weight:
- 469 g
- Height:
- 160 cm
- Width:
- 241 cm
- Thickness:
- 17 cm
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