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Abstract
Self-organization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. When providing collective robotic systems with 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.
Keywords
Adaptive system, artificial organisms, adaptive self-organization, self-adaptation, collective robotics

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Chicago
Kernbach, Serge, Heiko Hamann, Jürgen Stradner, Ronald Thenius, Thomas Schmickl, Karl Crailsheim, Anne C van Rossum, et al. 2009. “On Adaptive Self-organization in Artificial Robot Organisms.” In 2009 Computation World : Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns Conference, 33–43. New York, NY, USA: IEEE.
APA
Kernbach, S., Hamann, H., Stradner, J., Thenius, R., Schmickl, T., Crailsheim, K., van Rossum, A. C., et al. (2009). On adaptive self-organization in artificial robot organisms. 2009 Computation world : future computing, service computation, cognitive, adaptive, content, patterns conference (pp. 33–43). Presented at the 2009 Computation World : Future computing, service computation, cognitive, adaptive, content, patterns conference, New York, NY, USA: IEEE.
Vancouver
1.
Kernbach S, Hamann H, Stradner J, Thenius R, Schmickl T, Crailsheim K, et al. On adaptive self-organization in artificial robot organisms. 2009 Computation world : future computing, service computation, cognitive, adaptive, content, patterns conference. New York, NY, USA: IEEE; 2009. p. 33–43.
MLA
Kernbach, Serge, Heiko Hamann, Jürgen Stradner, et al. “On Adaptive Self-organization in Artificial Robot Organisms.” 2009 Computation World : Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns Conference. New York, NY, USA: IEEE, 2009. 33–43. Print.
@inproceedings{2090690,
  abstract     = {Self-organization in natural systems demonstrates very reliable and scalable collective behavior without using any central elements. When providing collective robotic systems with 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.},
  author       = {Kernbach, Serge and Hamann, Heiko and Stradner, J{\"u}rgen and Thenius, Ronald and Schmickl, Thomas and Crailsheim, Karl and van Rossum, Anne C and Sebag, Michele and Bredeche, Nicolas and Yao, Yao and Baele, Guy and Van de Peer, Yves and Timmis, Jon and Mohktar, Maizura and Tyrrell, Andy and Eiben, AE and McKibbin, SP and Liu, Wenguo and Winfield, Alan FT},
  booktitle    = {2009 Computation world : future computing, service computation, cognitive, adaptive, content, patterns conference},
  isbn         = {9781424451661},
  keyword      = {Adaptive system,artificial organisms,adaptive self-organization,self-adaptation,collective robotics},
  language     = {eng},
  location     = {Athens, Greece},
  pages        = {33--43},
  publisher    = {IEEE},
  title        = {On adaptive self-organization in artificial robot organisms},
  url          = {http://dx.doi.org/10.1109/ComputationWorld.2009.9},
  year         = {2009},
}

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