Multi-agent mixed traffic modelling and simulation are needed for safety estimation of traffic situations. Many of the most accurate traffic prediction models use deep learning methods that are considered black box models. This means that the ...

Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects on a population-level scale. To examine the impact of different schooling strategies, an agent-...

The airport terminals are complex sociotechnical systems, which are difficult to understand and their behavior is hard to predict. Hence, an agent-based model, the Agent-based Airport Terminal Operation Model (AATOM), has been designed to ...

This paper reimplements and extends a prior agent-based model of food web evolution. The earlier work attempted to replicate the results achieved by a system dynamics model of food web evolution, but failed to achieve the diversity or realistic ...

The study of human behavior in organizational environments has been the focus of researchers who seek to identify factors that may influence high-performance team building. In this context, agent-based simulations have been used to model ...

“How does culture, in combination with cues, settings and affiliation, influence response-phase behaviour and time and total evacuation time?”. A questionnaire and an agent-based model for a case study of a library evacuation in Czech Republic, ...

This paper is about the agentization of a horizontal mergers model. In this model, firms are either in a differentiated products Bertrand competition, in which they choose prices in order to maximize their profits, or in a Cournot competition, in ...

Norms influence behaviour in many ways. In situations such as the COVID-19 pandemic where the effect of policies on the spread of the virus is evaluated, this leads to disputes about their effectiveness. In order to build agent-based social ...

Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks, assigned by farm managers. The work here explores ...

The change in land use in a region can have huge impacts on the environment. For land use management to be effective, it is necessary to explore the region of interest, its behavior, and the impact of each change. This study aims to present the ...