
This paper presents RAJA, a Resource-Adaptive Java Agent Infrastructure. RAJA is easily accessible to agent developers, since it allows structured program\-ming by using a multi-level architecture to clearly separate domain-specific functionality from resource and adaptation concerns. It is generic, since it is applicable to a wide range of adaptation strategies. These two key features are illustrated by several applications, where the RAJA concept has been successfully applied to solve real world problems. They stem from very different domains (video streaming and spatial reasoning), which demonstrates the wide range of application and the flexibility of the proposed infrastructure.
| 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). | 9 | |
| 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. | Average | |
| 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 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
