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Agents are Dead. Long live Agents!

In recent years, the future of agent research has often been discussed. Most prominent is the issue whether agents should be seen as a conceptual framework or as a software development paradigm. At the same time, developments on AI seem to have taken the field into a new direction. In this paper we argue that in order for agents research to create added value for actual, real problems in the world we need to reconsider possible agent architectures and their strengths and weaknesses, their overlaps and commonalities. Finally we present a first sketch of an architecture for such agents.