Data farming is a descriptive metaphor that captures the notion of generating data
purposefully to maximize the information “yield” from simulation models. Large-scale …

Agent-based modeling has become increasingly popular in recent decades; however,
defining agents that accurately depict human behavior remains a significant challenge. This …

Decision analysis (DA) is an explicitly prescriptive discipline that separates beliefs about
uncertainties from value preferences in modeling to support decision making. Researchers …

Individual-based model (IBM) has been used to simulate and to design control strategies for
dynamic systems that are subject to stochasticity and heterogeneity, such as infectious …

Modeling the outbreak of a novel epidemic, such as coronavirus disease 2019 (COVID-19),
is crucial for estimating its dynamics, predicting future spread and evaluating the effects of …

This study assesses the impact of incorporating an adaptive learning mechanism into an
agent-based model simulating behavior on a university campus during a pandemic …

This study aims to use agent-based simulation as a tool to illustrate the importance of human
behavior in the dynamics of vector-borne disease spread. For this, a baseline …

Diseases, like death and taxes, seem an inevitable part of life, with much of modern
medicine acting to prevent, cure or manage them effectively. Modeling of diseases began …

[ES] En este trabajo se analiza el impacto en la supervivencia de pacientes que tiene dotar
a la policía local con Desfibriladores Externos Automáticos (DEA) para atender paradas …

The hospital system is a complex service system in which patients and hospitals interact and
make their decisions based on bounded rationality and information. In this paper, we …