RT Journal Article
JF Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World
YR 2009
VO 00
IS
SP 33
TI On Adaptive Self-Organization in Artificial Robot Organisms
A1 Karl Crailsheim,
A1 Maizura Mohktar,
A1 Ronald Thenius,
A1 S.P. McKibbin,
A1 Wenguo Liu,
A1 Alan F.T. Winfield,
A1 Andy Tyrrell,
A1 Yves Van de Peer,
A1 Jon Timmis,
A1 Nicolas Bredeche,
A1 A.E. Eiben,
A1 Yao Yao,
A1 Serge Kernbach,
A1 Jürgen Stradner,
A1 Michele Sebag,
A1 A.C. van Rossum,
A1 Guy Baele,
A1 Thomas Schmickl,
A1 Heiko Hamann,
K1 adaptive system
K1 self-adaptation
K1 adaptive selforganization
K1 collective robotics
K1 artificial organisms
AB 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.
PB IEEE Computer Society, [URL:http://www.computer.org]
SN
LA English
DO 10.1109/ComputationWorld.2009.9
LK http://doi.ieeecomputersociety.org/10.1109/ComputationWorld.2009.9