On Adaptive Self-Organization in Artificial Robot Organisms

Authors:
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
Affiliations:
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Venue:
COMPUTATIONWORLD '09 Proceedings of the 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns
Year:
2009

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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.