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On Adaptive Self-Organization in Artificial Robot Organisms

Serge Kernbach, Heiko Hamann, Jürgen Stradner, Ronald Thenius, Thomas Schmickl, Karl Crailsheim, A.C. van Rossum, Michèle Sébag, Nicolas Bredèche, Yao Yao, Guy Baele, Yves Van de Peer, Jon Timmis, Maizura Mohktar, Andy M. Tyrrell, A. E. Eiben, Stephen Paul McKibbin, Wenguo Liu, Alan Winfield

Year
2009
Citations
17

Abstract

Self-organization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. When providing collective robotic systems with self-organizing principles, we are facing new problems of making self-organization purposeful, self-adapting to changing environments and faster, in order to meet requirements from a technical perspective. This paper describes on-going work of creating such an artificial self-organization within artificial robot organisms, performed in the framework of several European projects.

Keywords

Self-organizationComputer scienceScalabilityRobotPerspective (graphical)Artificial intelligenceArtificial cellOrder (exchange)Human–computer interactionBusiness

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