Agent-based modelling and simulation (ABMS) constitutes a powerful computational paradigm for exploring the dynamics of complex systems through the interactions of discrete, autonomous agents. Each ...

Policymaking for complex Social-Ecological Systems (SESs) – systems in which human and natural environment have constant interactions – is a process that must consider multiple factors and ...

How do price movements arise in the foreign exchange markets? And how can trading strategies be developed and analysed without interfering with real markets? Researchers at TU Darmstadt are ...

In the context of climate change adaptation, there has been a recent research focus on the impact of flood insurance on flood risk reduction behaviour. ABM has been recently used in such researches to ...

The agent-based simulation model AMIRIS has been developed by the Energy Systems Analysis department and offers an innovative approach for the analysis and evaluation of energy policy instruments and ...

With a total population of more than 884,000, Cox’s Bazar settlement density is similar to New York City, therefore COVID-19 spread is a greater risk. Contrary to many SIR (severity-infected-recovery) ...

The Covid-19 coronavirus pandemic has created unique challenges, with remote working and social distancing measures being hastily introduced in March. However, certain sectors are keen for staff to ...

This is the fourth article in our series, Moving the Masses, about managing the flow of crowds of individuals, be they drivers or pedestrians, shoppers or commuters, birds or ants. Scientists, ...