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Athens, Greece
Nov. 15, 2009 to Nov. 20, 2009
ISBN: 978-0-7695-3862-4
pp: 33-43
ABSTRACT
Self-organization in natural systems demonstrates very reliable and scalable collective behavior without using anycentral elements. When providing collective robotic systemswith 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.
INDEX TERMS
adaptive system, self-adaptation, adaptive selforganization, collective robotics, artificial organisms
CITATION
Serge Kernbach, Heiko Hamann, Jürgen Stradner, Ronald Thenius, Thomas Schmickl, Karl Crailsheim, A.C. van Rossum, Michele Sebag, Nicolas Bredeche, Yao Yao, Guy Baele, Yves Van de Peer, Jon Timmis, Maizura Mohktar, Andy Tyrrell, A.E. Eiben, S.P. McKibbin, Wenguo Liu, Alan F.T. Winfield, "On Adaptive Self-Organization in Artificial Robot Organisms", COMPUTATIONWORLD, 2009, Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World, Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World 2009, pp. 33-43, doi:10.1109/ComputationWorld.2009.9
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