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On adaptive self-organization in artificial robot organisms AbstractIn Nature, self-organization demonstrates very reliable and scalable collective behavior in a distributed fashion. In collective robotic systems, self-organization makes it possible to address both the problem of adaptation to quickly changing environment and compliance with user-defined target objectives. This paper describes on-going work on artificial self-organization within artificial robot organisms, performed in the framework of the Symbrion and Replicator European projects.
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