Model based on Artificial Intelligence simulates the spread of the virus based on different scenarios.
The coronavirus pandemic is the biggest crisis in a generation. Decision-makers have struggled to balance the state of health with the needs of society and the economy through the spread of the virus. Using Artificial Intelligence (AI) in simulation methods has given a better, and more accurate result than conventional methods. A book about the research behind the successful method is now being released.
Frank Dignum’s research on the simulation of the COVID-19 pandemic has attracted a great deal of attention. Now he is releasing a book—”Social Simulation in a Crisis,” which shows how the AI-based model simulates the spread of the virus based on different scenarios. The model has proven to be extremely effective and the result has beaten conventional methods, in every way.
“I’m so happy that our research has given such great results, the purpose has always been to find a way for the public and companies to effectively make the right decisions,” says Frank Dignum, AI researcher and author of the book.
The next step is to develop large-scale simulation models. This requires researchers to re-implement the models, making them even more efficient. Frank Dignum points out that it is also important to develop systems and technology that protect human integrity.
“Epidemiological models cannot integrate human behavior, the impact we have on each other and how it changes behavior over time. This can only be studied successfully in a social simulation environment.”
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