2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns On Adaptive Self-Organization in Artificial Robot Organisms Athens, Greece November 15-November 20 ISBN: 978-0-7695-3862-4
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, pp.33-43, 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||