Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households ...

One of the main challenges in Agent-Based Modeling (ABM) is to model agents’ preferences and behavioral rules such that the knowledge and decision-making processes of real-life stakeholders will be ...

As an agent-based electricity market model, AMIRIS ("Agent-based Market Model for the Investigation of Renewable and Integrated Energy Systems") maps the behaviour of the players on the energy market.

What is agent-based modeling, otherwise known as ABM? What is distributed computing? Why do it? These are all easily answered questions, right? Surprisingly, the answer is a resounding “No!” in many ...

Marco A. Janssen ¹, Elinor Ostrom ², Empirically Based, Agent-based models, Ecology and Society, Vol. 11, No. 2 (Dec 2006) ...

ABM has been recently used in such researches to model the interaction of stakeholders. Building on this foundation, we propose the integration of participatory methods to capture the socio-cognitive ...

Environmental change can lead to human migration and vice versa. Agent-based models (ABMs) are valuable tools to study these linkages because they can represent individual migration decisions of human ...