| REVIEW ARTICLE |
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| Year : 2020 | Volume
: 17
| Issue : 5 | Page : 41-43 |
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Multi-agent system applications to fight COVID-19 pandemic
Abhishek Sharma1, Shashi Bahl2, Ashok Kumar Bagha1, Mohd Javaid3, Dinesh Kumar Shukla1, Abid Haleem3
1 Department of Mechanical Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India
2 Department of Mechanical Engineering, I. K. Gujral Punjab Technical University Hoshiarpur Campus, Hoshiarpur, Punjab, India
3 Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
Correspondence Address:
Shashi Bahl
Department of Mechanical Engineering, I. K. Gujral Punjab Technical University Hoshiarpur Campus, Hoshiarpur - 146 001, Punjab
India
 Source of Support: None, Conflict of Interest: None  | 6 |
DOI: 10.4103/am.am_54_20
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A multi-agent system (MAS) uses multiple interacting intelligent agents with the support of the computerized system. During this COVID-19 pandemic, there is a requirement to improve service for patients to fulfill the ongoing challenges. This technology provides a digital service continuously for the patients. An MAS-based platform is helpful for different scenarios during this pandemic. This article discusses significant components, as used for developing an MAS to handle COVID-19 situations. Finally, it discusses various significance applications of an MAS for COVID-19 pandemic patients. The knowledge and data required to solve the COVID-19 pandemic are distributed spatially in different locations, which add constraints, toward proper planning of the treatment of patients to combat this pandemic. Governments accept that their systems cannot stop the widespread transmission of this virus. However, by flattening the curve, the mortality rate can be reduced. MAS consist of autonomous entities, also known as agents, who work collaboratively. By using MAS, lots of real-world data of the emerging situation such as an outbreak can be processed gainfully. It will allow doctors and organizations to create flexible models of potential scenarios.
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