@inproceedings{20258,
  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.}},
  author       = {{Kernbach, Serge and Hamann, Heiko and Stradner, Jürgen and Thenius, Ronald and Schmickl, Thomas and Crailsheim, Karl and Rossum, A.C. van and Sebag, Michele and Bredeche, Nicolas and Yao, Yao and Baele, Guy and Peer, Yves Van de and Timmis, Jon and Mohktar, Maizura and Tyrrell, Andy and Eiben, A.E. and McKibbin, S.P. and Liu, Wenguo and Winfield, Alan F.T.}},
  booktitle    = {{2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns}},
  isbn         = {{9781424451661}},
  title        = {{{On Adaptive Self-Organization in Artificial Robot Organisms}}},
  doi          = {{10.1109/computationworld.2009.9}},
  year         = {{2010}},
}