DocumentCode
2714221
Title
Evolutionary Design of Specialization
Author
Eiben, A.E. ; Nitschke, G.S. ; Schut, M.C.
Author_Institution
Dept. of Comput. Sci., Vrije Universiteit, Amsterdam
fYear
2007
fDate
1-5 April 2007
Firstpage
417
Lastpage
424
Abstract
In this research, a neuro-evolution method called collective neuro-evolution (CONE), is introduced for the design of neural controllers (agents) operating in collective behavior task domains. The efficacy of the CONE method for facilitating emergent behavioral specialization for the benefit of increasing task performance is tested in a pursuit-evasion and collective gathering task. For a comparative study, a conventional neuro-evolution method was applied to the same tasks. In both tasks, the CONE method derived behavioral specialization in groups of agents resulting in higher task performances, where as the conventional neuro-evolution method was unable to derive specialization resulting in comparatively lower task performances
Keywords
control system synthesis; emergent phenomena; neurocontrollers; collective behavior task domain; collective neuroevolution; emergent behavioral specialization; neural controller design; Computer science; Electrostatic precipitators; Evolutionary computation; Feedforward systems; Neural networks; Neurons; Robot control; Symbiosis; Testing; Weight control;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Life, 2007. ALIFE '07. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0701-X
Type
conf
DOI
10.1109/ALIFE.2007.367825
Filename
4218915
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