By Dosam Hwang, Jason J. Jung, Ngoc Thanh Nguyen

This booklet constitutes the refereed complaints of the sixth overseas convention on Collective Intelligence, ICCCI 2014, held in Seoul, Korea, in September 2014. The 70 complete papers awarded have been conscientiously reviewed and chosen from 205 submissions. They tackle subject matters equivalent to wisdom integration, facts mining for collective processing, fuzzy, modal and collective structures, nature encouraged platforms, language processing structures, social networks and semantic internet, agent and multi-agent structures, class and clustering equipment, multi-dimensional facts processing, net platforms, clever determination making, equipment for scheduling, picture and video processing, collective intelligence in internet platforms, computational swarm intelligence, cooperation and collective knowledge.

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Additional info for Computational Collective Intelligence. Technologies and Applications: 6th International Conference, ICCCI 2014, Seoul, Korea, September 24-26, 2014. Proceedings

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For a given H scheme σ = (V, R) and a language L ⊆ V ∗ , we write σ(L) = {z ∈ V ∗ | (x, y) and we define r z, for some x, y ∈ L, r ∈ R}, σ ∗ (L) = σ i (L) i≥0 by σ 0 (L) =L, σ i+1 (L) =σ i (L) ∪ σ(σ i (L)), i ≥ 0. An extended H system is a construct γ = (V, T, A, R), where V is an alphabet, T ⊆ V is the terminal alphabet, A ⊆ V ∗ is the set of axioms, and R ⊆ V ∗ #V ∗ $V ∗ #V ∗ is the set of splicing rules. The system is said to be nonextended when T = V . The language generated by γ is defined by L(γ) = σ ∗ (A) ∩ T ∗ .

In: The MIDAS Journal - MS Lesion Segmentation, MICCAI 2008 Workshop (2008) 9. : Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs). NeuroImage: Clinical 3, 462–469 (2013) 10. : Fully automatic segmentation of white matter hyperintensities in MR images of the elderly. NeuroImage 28, 607–617 (2005) 11. : An Automatic Segmentation of T2-FLAIR Multiple Sclerosis Lesions. In: The MIDAS Journal - MS Lesion Segmentation, MICCAI 2008 Workshop (2008) 12.

In: The MIDAS Journal - MS Lesion Segmentation, MICCAI 2008 Workshop (2008) 12. : Automatic white matter lesion segmentation using an adaptive outlier detection method. Magnetic Resonance Imaging 30, 807–823 (2012) 13. : Automatic segmentation of cerebral white matter hyperintensities using only 3D FLAIR images. my Abstract. In this paper we introduce a new variant of splicing systems, called fuzzy splicing systems, and establish some basic properties of language families generated by this type of splicing systems.

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