De scriptie onderzoekt in hoeverre het agent-based model (ABM) ROMFARMS, oorspronkelijk ontwikkeld voor het Romeinse limesgebied, kan worden hergebruikt om de landbouwproductiviteit van Romeinse villaandapos;s in het Zuid-Limburgse landschap te simuleren. Het onderzoek heeft twee doelen. Ten eerste wordt …

Integration of agent-based modeling (ABM) and life cycle assessment (LCA) has been proposed and applied as an approach to leverage the complementary strengths of both methods in assessing sustainability impacts within complex socio-technical systems. However, the existing literature has focused primarily …

Agent-based modeling (ABM) is a powerful tool for simulating building users’ dynamic behavior in demand response (DR) programs. However, ABM faces several challenges, particularly in encoding building users’ natural language features and common sense into rules or mathematical equations. To overcome …

Agent-based modeling (ABM) is a powerful tool for simulating building users’ dynamic behavior in demand response (DR) programs. However, ABM faces several challenges, particularly in encoding building users’ natural language features and common sense into rules or mathematical equations. To overcome …

Agent-based modelling (ABM) is one of the most widely applied computational modelling research techniques in archaeology, because it is well suited to the questions asked by archaeologists. However, the access to vocational training for ABM is limited. In this paper we present the Open Educational Resources …

Circular, biobased, and modular construction practices are gaining traction as cities seek to reduce the environmental impact of the built environment. However, little is known about how these strategies affect construction logistics and their associated emissions. We develop an agent-based model to …

Traditional non-linear models offer Dutch municipalities limited insight into the social behaviour of local stakeholders, even though this behaviour largely determines the success of policies in complex sociotechnical systems. This study addresses the following research question: “How can an agent-based …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

Agent-based modeling (ABM) is a widely used method for evaluating demand response (DR) strategies. To comprehensively assess the impact of DR strategies on a district cooling system, the integration of building managers’ DR behavior is essential. However, most ABM studies focus on technical optimization …

The urban energy transition is crucial for a sustainable future. To support this transition, Digital Twins are employed in an increasing fashion, providing decision makers with data-driven insights from mainly technological perspectives. Based on a case study of a neighbourhood in a Dutch municipality, …