RAJA: a resource-adaptive Java agent infrastructure

  • Authors:
  • Yun Ding;Rainer Malaka;Christian Kray;Michael Schillo

  • Affiliations:
  • European Media Laboratory, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg, Germany;European Media Laboratory, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg, Germany;DFKI GmbH, Stuhlsatzenhausweg 3, 66123 Saarbrücken Germany;Multi-Agent Systems Group, Saarland University/DFKI GmbH, Im Stadtwald, Building 36, 66123 Saarbrücken, Germany

  • Venue:
  • Proceedings of the fifth international conference on Autonomous agents
  • Year:
  • 2001

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Abstract

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.