Multi Agent Based Simulation (MABS) has been used mostly in purely social contexts. However, compared to other approaches, e.g., traditional discrete event simulation, object-oriented simulation and dynamic micro simulation, MABS has a number of interesting properties which makes it useful also for other domains. For instance, it supports structure preserving modeling of the simulated reality, ...

The term computer simulation is related to the usage of a computational model in order to improve the understanding of a system's behavior and/or to evaluate strategies for its operation, in explanatory or predictive schemes. There are cases in which practical or ethical reasons make it impossible to realize direct observations: in these cases, the possibility of realizing 'in-machina' experime...

Space syntax derives from a set of analytic measures of configuration that have been shown to correlate well with how people move through and use buildings and urban environments. Space syntax represents the open space of an environment in terms of the intervisibility of points in space. The measures are thus purely configurational, and take no account of attractors, nor do they make any assump...

Agent-Based Computational Economics (ACE) and Agent Based Simulation (ABS) are two relatively young fields of research that lie on the boundary of social science, computer science and the cognitive sciences (AI and cognitive psychology). Originally these fields find their origin in computational physics, where multi-agent systems (MAS) are used to study models with heterogeneous agent populatio...

peared? Was this caused by climate changes? What type of recruitment strategy among social insects is best adapted to their particular environment? How much time does it take to evacuate an airport if people have limited perception caused by smoke as well as restricted mobility? What if many of these people travel in groups or families? How long does it take for commuters to reach their destina...

This project focuses on simulating the traffic at an intersection using agent-based planning and behavioral methods. The motivation is to simulate this traffic in a way that’s noisy, believable, and high level of detail. The main approach is based on the idea of a control obstacle and a greedy sampling method to navigate the robots. Other behaviors are generated using constraints and finite sta...

This paper focuses on the multi-agent highway traffic simulation. It provides a realistic modeling with high fidelity continuous vehicle movement incorporating physical dynamics of the vehicles. The deliberative agent part of the system enables to implement and evaluate complex cooperation and coordination algorithms. The paper presents the architecture and implemented simulator for evaluation ...

This paper provides a survey and analysis of applications of Agent Based Simulation (ABS). A framework for describing and assessing the applications is presented and systematically applied. A general conclusion from the study is that even if ABS seems a promising approach to many problems involving simulation of complex systems of interacting entities, it seems as the full potential of the agen...

Within Criminology, the process of crime displacement is usually explained by referring to the interaction of three types of agents: criminals, passers-by, and guardians. Most existing simulation models of this process are agent-based. However, when the number of agents considered becomes large, population-based simulation has computational advantages over agent-based simulation. This paper pre...

Five software platforms for scientific agent-based models (ABMs) were reviewed by implementing example models in each. NetLogo is the highest-level platform, providing a simple yet powerful programming language, built-in graphical interfaces, and comprehensive documentation. It is designed primarily for ABMs of mobile individuals with local interactions in a grid space, but not necessarily clum...