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 Tucuman, 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.