Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. Computational advances have made possible a growing number of agent-based models across a variety of application domains. Applications range from modeling agent behavior

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 destinations if an important arte-rial in the Los Angeles area is closed? These are the kind of ques-tions that can be and are answered by agent-based

Agent-based modelling and simulation (ABMS) is a relatively new approach to modelling systems composed of autonomous, interacting agents. Agent-based modelling is a way to model the dynamics of complex systems and complex adaptive systems. Such systems often self-organize themselves and create

for agent-based modeling and simulation. Agent-based modeling and simulation has become an important and popular paradigm for the computational social and natural sciences; however, the application of this paradigm tends to be performed in an ad-hoc fashion leading to questions about underlying assumptions

Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support

Conceptual modelling, simulation and software development taken together, as a cyclical process, can be seen as a natural way to implement information systems. However, there is a gap between the tools used for each of these steps. In this paper, we propose a methodology to link the conceptual

The paper considers an approach to modeling and simulation of cyber-wars in Internet between the teams of software agents. Each team is a community of agents cloned on various network hosts. The approach is considered by an example of modeling and simulation of “Distributed Denial of Service ” (DDo

scheduling

Agent-based modeling and simulation of collective efficacy are useful to understand and study the relationship between community-related problems and individuals’ cognitive process. This paper presents a design of collective efficacy simulation using an agent-based model. We integrate collective

Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support