On adaptive self-organization in artificial robot organisms

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

doi:10.1109/ComputationWorld.2009.9

On adaptive self-organization in artificial robot organisms

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Computation World
Subtitle of host publication	Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009
Pages	33-43
Number of pages	11
DOIs	https://doi.org/10.1109/ComputationWorld.2009.9
Publication status	Published - 1 Dec 2009
Event	Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 - Athens, Greece Duration: 15 Nov 2009 → 20 Nov 2009

Conference

Conference	Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009
Country/Territory	Greece
City	Athens
Period	15/11/09 → 20/11/09

Keywords

Adaptive self-organization
Adaptive system
Artificial organisms
Collective robotics
Self-adaptation

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10.1109/ComputationWorld.2009.9

Cite this

Kernbach, S., Hamann, H., Stradner, J., Thenius, R., Schmickl, T., Crailsheim, K., Van Rossum, A. C., Sebag, M., Bredeche, N., Yao, Y., Baele, G., Van De Peer, Y., Timmis, J., Mohktar, M., Tyrrell, A., Eiben, A. E., McKibbin, S. P., Liu, W., & Winfield, A. F. T. (2009). On adaptive self-organization in artificial robot organisms. In Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 (pp. 33-43). [5359550] https://doi.org/10.1109/ComputationWorld.2009.9

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title = "On adaptive self-organization in artificial robot organisms",

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 self-organization, Adaptive system, Artificial organisms, Collective robotics, Self-adaptation",

author = "Serge Kernbach and Heiko Hamann and J{\"u}rgen Stradner and Ronald Thenius and Thomas Schmickl and Karl Crailsheim and {Van Rossum}, {A. C.} and Michele Sebag and Nicolas Bredeche and Yao Yao and Guy Baele and {Van De Peer}, Yves and Jon Timmis and Maizura Mohktar and Andy Tyrrell and Eiben, {A. E.} and McKibbin, {S. P.} and Wenguo Liu and Winfield, {Alan F.T.}",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/ComputationWorld.2009.9",

language = "English",

isbn = "9780769538624",

pages = "33--43",

booktitle = "Computation World",

note = "Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009 ; Conference date: 15-11-2009 Through 20-11-2009",

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Kernbach, S, Hamann, H, Stradner, J, Thenius, R, Schmickl, T, Crailsheim, K, Van Rossum, AC, Sebag, M, Bredeche, N, Yao, Y, Baele, G, Van De Peer, Y, Timmis, J, Mohktar, M, Tyrrell, A, Eiben, AE, McKibbin, SP, Liu, W & Winfield, AFT 2009, On adaptive self-organization in artificial robot organisms. in Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009., 5359550, pp. 33-43, Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009, Athens, Greece, 15/11/09. https://doi.org/10.1109/ComputationWorld.2009.9

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T1 - On adaptive self-organization in artificial robot organisms

AU - Kernbach, Serge

AU - Hamann, Heiko

AU - Stradner, Jürgen

AU - Thenius, Ronald

AU - Schmickl, Thomas

AU - Crailsheim, Karl

AU - Van Rossum, A. C.

AU - Sebag, Michele

AU - Bredeche, Nicolas

AU - Yao, Yao

AU - Baele, Guy

AU - Van De Peer, Yves

AU - Timmis, Jon

AU - Mohktar, Maizura

AU - Tyrrell, Andy

AU - Eiben, A. E.

AU - McKibbin, S. P.

AU - Liu, Wenguo

AU - Winfield, Alan F.T.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

KW - Adaptive self-organization

KW - Adaptive system

KW - Artificial organisms

KW - Collective robotics

KW - Self-adaptation

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U2 - 10.1109/ComputationWorld.2009.9

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M3 - Conference contribution

AN - SCOPUS:77951004825

SN - 9780769538624

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EP - 43

BT - Computation World

T2 - Computation World: Future Computing, Service Computation, Adaptive, Content, Cognitive, Patterns, ComputationWorld 2009

Y2 - 15 November 2009 through 20 November 2009

ER -

On adaptive self-organization in artificial robot organisms

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