Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Agent-based systems are an important application area of artificial intelligence and are used
in decision support systems. Rather than being a problem-solving tool, agent-based system …

We develop an agent-based model of the UK housing market to study the impact of
macroprudential policy experiments on key housing market indicators. The heterogeneous …

This paper presents a complex, modular, 1: 1 scale model of the Hungarian residential
housing market. All of the 4 million households with their relevant characteristics and all of …

Housing markets are inherently spatial, yet many existing models fail to capture this spatial
dimension. Here, we introduce a new graph-based approach for incorporating a spatial …

Bounded rationality is an important consideration stemming from the fact that agents often
have limits on their processing abilities, making the assumption of perfect rationality …

Employing an agent-based model of the Spanish housing market, this paper explores the
main drivers behind the large amplitude of the Spanish house price cycle—as compared to …

Purpose The study aims to examine the impact of cultural dependency stemming from
exchange rate fluctuations (specifically the US dollar) on herding behavior in the housing …

Modern urban science views differences in attractiveness of residential suburbs as the main
driver of resettlement within a city. In particular, certain suburbs may attract residents due to …

Urban dynamics in large metropolitan areas result from complex interactions across social,
economic and political factors, including population distribution, flows of wealth and …