This study systematically reviews applications of three simulation approaches, that is,
system dynamics model (SDM), agent‐based model (ABM) and discrete event simulation …

Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …

Coronavirus disease 2019 (COVID-19) is an infectious disease of humans caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first case was identified …

Agent-based modeling is increasingly being used in computational epidemiology to
characterize important behavioral dimensions, such as the heterogeneity of the individual …

Modeling human behavior in the context of social systems in which we are embedded
realistically requires capturing the underlying heterogeneity in human populations …

Modelling epidemic spreading in a population or in organisations is important in planning
preventive measures and allocating resources for treating infected individuals in hospitals …

The prevalence of COVID-19 is shaped by behavioral responses to recommendations and
warnings. Available information on the disease determines the population's perception of …

Philosophers have recently questioned the methodological status of agent-based modeling.
Meanwhile, this methodology has been central to various studies of the COVID-19 …

In this study we present a dynamical agent-based model to investigate the interplay between
the socio-economy of and SEIRS-type epidemic spreading over a geographical area …

Since the beginning of the COVID-19 pandemic, various models of virus spread have been
proposed. While most of these models focused on the replication of the interaction …