
This article gives an introduction to agent‐based modeling and simulation (ABMS). After a general discussion about modeling and simulation, we address the basic concept of ABMS, focusing on its generative and bottom‐up nature, its advantages as well as its pitfalls. The subsequent part of the article deals with application‐oriented aspects, including selected tools and well‐known applications. In order to illustrate the benefits of using ABMS, we focus on several aspects of a well‐known area related to simulation of complex systems, namely traffic. At the end, a brief look into future challenges is given.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 84 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
