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Analysis and simulation of social behavior during the COVID-19 pandemic in Argentina, using intelligent agents

Authors: Juarez, Gustavo; Menéndez, Franco Daniel; Lafuente, Cristian Horacio; Pérez, Jorge; Franco, Leonardo; Rodriguez Rivero, Cristian Maximiliano;

Analysis and simulation of social behavior during the COVID-19 pandemic in Argentina, using intelligent agents

Abstract

The present work is an innovative educational strategy that uses a Final Integrative Work (FIW) as a method of evaluation of subjects of the Computer Engineering degree where students learn different subjects such as Artificial Intelligence and Databases, through real world problems related to COVID-19. The evaluation process through the FIW is based on several skills acquisition and by measuring the way in which students apply concepts of Databases and intelligent agents by means of numerical simulations that involves social behavior in times of the COVID-19 pandemic in the province of Tucumán, in the northwest of Argentina. The students carried out simulations of a multiagent system through the tool Netlogo, applying rules with a high impact factor for tackling a decision making problem. The results observed suggest that a paradigm shift in the degree evaluation processes is possible and necessary.

©2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Peer Reviewed

Keywords

Strict quarantine, Age range, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Intel·ligència artificial -- Aplicacions a l'educació, Real-world problems, Process evaluation, COVID-19 (Malaltia), Space for dialogue, Àrees temàtiques de la UPC::Ensenyament i aprenentatge::Ensenyament universitari, Bases de dades, Databases, COVID-19 (Disease), Software agents, Agents intel·ligents (Programari), Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Bases de dades, Sistemes multiagent, Probability of death, Intelligence agencies, Intelligent agents (Computer software), Artificial intelligence -- Educational applications, Real problems, Multi-agent systems, Analysis of social behavior, Pandemic in Argentina, Measures, Multiagent systems, Àrees temàtiques de la UPC::Ensenyament i aprenentatge::Didàctica::Avaluació, Age groups, COVID-19 pandemic in Argentina, Confinement

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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