人工智能对抗新冠病毒（学习、网络与算法综合讲座）

English | 2024 | ISBN: 3031643720 | 106 pages | True PDF,EPUB | 17.64 MB

This book presents algorithms and tools that are designed to model and extract information from personal contact networks, which represent which individuals in a population are physically in contact with one another. The authors developed these tools based on research they conducted during the COVID-19 pandemic, with the goal of improving responses to epidemics in the future. The book provides methods for modelling the transmission of infection across a population. The authors explain how an epidemic model can be used to strategically distribute vaccines and minimize the spread of a virus. The book shows how evolutionary computation, graph compression, and network induction can be utilized to manage issues that arise from an epidemic.

这本书介绍了旨在从个人接触网络中建模并提取信息的算法和工具，这些网络表示一个群体中的哪些个体彼此处于物理接触状态。作者们基于他们在COVID-19疫情期间进行的研究开发了这些工具，目的是在未来改善应对流行病的方法。该书提供了通过人口传播感染的方法。作者解释了如何使用传染病模型来战略性地分配疫苗并减少病毒的传播。该书展示了进化计算、图压缩和网络归纳如何用于管理由流行病引发的问题。

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