Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Agent-based systems have been developed for many scientific applications and simulation
studies to model a group of actors and their interactions based on behavioral rules. Agent …

Despite reaching a point of acceptance as a research tool across the geographical and
social sciences, there remain significant methodological challenges for agent‐based …

The use of straw as feedstock for the bioeconomy constitutes an important opportunity to
fulfill the societal demand for biobased products and reduce the externalities incurred in the …

There has been some discussion about agent-based modelling (ABM) and theory,
particularly how ABM might facilitate theory building. However, there is confusion about the …

Societies are complex. Properties of social systems can be explained by the interplay and
weaving of individual actions. Rewards are key to understand people's choices and …

This paper uses two thought experiments to argue that the complexity of the systems to
which agent-based models (ABMs) are often applied is not the central source of difficulties …

Agent-based models (ABMs) can be found across a number of diverse application areas
ranging from simulating consumer behaviour to infectious disease modelling. Part of their …

In this paper we introduce a calibration procedure for validating of agent based models.
Starting from the well-known financial model of (Brock and Hommes, 1998), we show how …

Agent-based modeling has proven to be a useful simulation tool in marketing to analyze
what-if scenarios and support strategic marketing decisions. Over the years, the field has …