Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World (2009)
Nov. 15, 2009 to Nov. 20, 2009
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.
adaptive system, self-adaptation, adaptive selforganization, collective robotics, artificial organisms
Karl Crailsheim, Maizura Mohktar, Ronald Thenius, S.P. McKibbin, Wenguo Liu, Alan F.T. Winfield, Andy Tyrrell, Yves Van de Peer, Jon Timmis, Nicolas Bredeche, A.E. Eiben, Yao Yao, Serge Kernbach, Jürgen Stradner, Michele Sebag, A.C. van Rossum, Guy Baele, Thomas Schmickl, Heiko Hamann, "On Adaptive Self-Organization in Artificial Robot Organisms", Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World, vol. 00, no. , pp. 33-43, 2009, doi:10.1109/ComputationWorld.2009.9